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A new study from physicists at Harvard and Stanford says that wormholes can exist but they're not very useful for humans to travel through. "It takes longer to get through these wormholes than to go directly, so they are not very useful for space travel," said the author of the study, Daniel Jafferis. From the report: Despite his pessimism for pan-galactic travel, he said that finding a way to construct a wormhole through which light could travel was a boost in the quest to develop a theory of quantum gravity. The new theory was inspired when Jafferis began thinking about two black holes that were entangled on a quantum level, as formulated in the ER=EPR correspondence by Juan Maldacena from the Institute for Advanced Study and Lenny Susskind from Stanford. Although this means the direct connection between the black holes is shorter than the wormhole connection -- and therefore the wormhole travel is not a shortcut -- the theory gives new insights into quantum mechanics.

"From the outside perspective, travel through the wormhole is equivalent to quantum teleportation using entangled black holes," Jafferis said. Jafferis based his theory on a setup first devised by Einstein and Rosen in 1935, consisting of a connection between two black holes (the term wormhole was coined in 1957). Because the wormhole is traversable, Jafferis said, it was a special case in which information could be extracted from a black hole. "It gives a causal probe of regions that would otherwise have been behind a horizon, a window to the experience of an observer inside a spacetime, that is accessible from the outside," said Jafferis. The physicists presented their results at the 2019 American Physical Society April Meeting in Denver, Colorado.

Scientists in southern China report that they've created several transgenic macaque monkeys with extra copies of a human gene suspected of playing a role in shaping human intelligence. "According to their findings, the modified monkeys did better on a memory test involving colors and block pictures, and their brains also took longer to develop -- as those of human children do," reports MIT Technology Review. "There wasn't a difference in brain size." From the report: The experiments, described on March 27 in a Beijing journal, National Science Review, and first reported by Chinese media, remain far from pinpointing the secrets of the human mind or leading to an uprising of brainy primates. Bing Su, the geneticist at the Kunming Institute of Zoology who led the effort, specializes in searching for signs of "Darwinian selection" -- that is, genes that have been spreading because they're successful. His quest has spanned such topics as Himalayan yaks' adaptation to high altitude and the evolution of human skin color in response to cold winters. [Instead of the FOXP2 gene famous for its potential link to human speech] Su was fascinated by a different gene: MCPH1, or microcephalin. Not only did the gene's sequence differ between humans and apes, but babies with damage to microcephalin are born with tiny heads, providing a link to brain size. With his students, Su once used calipers and head spanners to the measure the heads of 867 Chinese men and women to see if the results could be explained by differences in the gene.

By 2010, though, Su saw a chance to carry out a potentially more definitive experiment -- adding the human microcephalin gene to a monkey. China by then had begun pairing its sizable breeding facilities for monkeys (the country exports more than 30,000 a year) with the newest genetic tools, an effort that has turned it into a mecca for foreign scientists who need monkeys to experiment on. To create the animals, Su and collaborators at the Yunnan Key Laboratory of Primate Biomedical Research exposed monkey embryos to a virus carrying the human version of microcephalin. They generated 11 monkeys, five of which survived to take part in a battery of brain measurements. Those monkeys each have between two and nine copies of the human gene in their bodies. After putting the monkeys inside MRI machines to measure their white matter, they gave them computerized memory tests. "According to their report, the transgenic monkeys didn't have larger brains, but they did better on a short-term memory quiz, a finding the team considers remarkable," reports MIT Technology Review.

Scientists in southern China report that they've created several transgenic macaque monkeys with extra copies of a human gene suspected of playing a role in shaping human intelligence. "According to their findings, the modified monkeys did better on a memory test involving colors and block pictures, and their brains also took longer to develop -- as those of human children do," reports MIT Technology Review. "There wasn't a difference in brain size." From the report: The experiments, described on March 27 in a Beijing journal, National Science Review, and first reported by Chinese media, remain far from pinpointing the secrets of the human mind or leading to an uprising of brainy primates. Bing Su, the geneticist at the Kunming Institute of Zoology who led the effort, specializes in searching for signs of "Darwinian selection" -- that is, genes that have been spreading because they're successful. His quest has spanned such topics as Himalayan yaks' adaptation to high altitude and the evolution of human skin color in response to cold winters. [Instead of the FOXP2 gene famous for its potential link to human speech] Su was fascinated by a different gene: MCPH1, or microcephalin. Not only did the gene's sequence differ between humans and apes, but babies with damage to microcephalin are born with tiny heads, providing a link to brain size. With his students, Su once used calipers and head spanners to the measure the heads of 867 Chinese men and women to see if the results could be explained by differences in the gene.

By 2010, though, Su saw a chance to carry out a potentially more definitive experiment -- adding the human microcephalin gene to a monkey. China by then had begun pairing its sizable breeding facilities for monkeys (the country exports more than 30,000 a year) with the newest genetic tools, an effort that has turned it into a mecca for foreign scientists who need monkeys to experiment on. To create the animals, Su and collaborators at the Yunnan Key Laboratory of Primate Biomedical Research exposed monkey embryos to a virus carrying the human version of microcephalin. They generated 11 monkeys, five of which survived to take part in a battery of brain measurements. Those monkeys each have between two and nine copies of the human gene in their bodies. After putting the monkeys inside MRI machines to measure their white matter, they gave them computerized memory tests. "According to their report, the transgenic monkeys didn't have larger brains, but they did better on a short-term memory quiz, a finding the team considers remarkable," reports MIT Technology Review.

Freshly Exhumed writes: RCMP officers spotted a man driving with earbuds plugged into his iPhone. The phone was not in his hands nor on his lap, was not playing music or video, and the driver was not using it to talk to someone or navigate. The battery was, in fact, completely dead. Nonetheless, a judge has ruled that "by plugging the earbud wire into the iPhone, the defendant had enlarged the device, such that it included not only the iPhone (proper) but also attached speaker or earbuds," he wrote. "Since the earbuds were part of the electronic device and since the earbuds were in the defendant's ears, it necessarily follows that the defendant was holding the device (or part of the device) in a position in which it could be used, i.e. his ears." On the question of the battery, the judge said he relied on a 2015 precedent set in a Canadian provincial court, which says that holding an electronic device in a position where it could be used constitutes an offense, even if it is temporarily not working.

An extensive survey of bacteria and fungi on surfaces inside the International Space Station has revealed an astonishing number of microorganisms living among the astronauts -- the health impacts of which aren't entirely clear. Gizmodo reports: Since it was first established in 1998, the International Space Station has been visited by hundreds of astronauts (227 to be exact). These trips have invariably introduced an array of microbes to the orbital outpost, as have shipments of cargo. But while astronauts return to Earth, their germs stay behind. New research published today in Microbiome offers the most comprehensive catalogue to date of the bacteria and fungi living on the ISS, detailing the station's distinctive and ever-changing microbiological profile. This research will now be used by NASA and other space agencies to develop safety measures for the ISS and other long-term space missions.

NASA astronauts took swabs using sterile wipes at eight predefined locations on the ISS, on three different occasions during a 14 month period. The locations included both high and low traffic areas, including the viewing window, toilet, exercise platform, stowage rack, dining table, and sleeping quarters. NASA astronaut Terry Virts performed the first two sampling sessions on March 4, 2015 and then three months later on May 15, 2015. NASA astronaut Jeffrey Williams took the third sample a year later on May 6, 2016. The samples were returned to Earth for analysis. The ISS may seem like a cold, sterile place in space, but the analysis showed it's a veritable cornucopia for microbes. The most prolific bacteria, according to culture results, were Staphylococcus (26 percent of total samples), Pantoea (23 percent), Bacillus (11 percent), Staphylococcus aureus (10 percent) and Pantoea conspicua and Pantoea gaviniae (both at 9 percent). The fungal population was primarily comprised of Rhodotorula mucilaginosa. The authors warn that some strains of bacteria could form damaging biological sheets known as biofilms: "[B]iofilm formation on the ISS could decrease infrastructure stability by causing mechanical blockages, reducing heat transfer efficiency, and inducing microbial influenced corrosion..."

An anonymous reader quotes a report from The Register: Generally a system crash is a private affair, but the BT Tower, one of London's tallest landmarks, spent much of the weekend displaying a Windows error message in a very public fashion. The building, originally known as the Post Office Tower, is famed for both its revolving top floor and, more recently, for the banks of LEDs at its summit that act as a very prominent billboard. Sadly for BT over the weekend it was showing what looks very like a Windows 7 error screen. "Choose operating system to start or press TAB to select a tool: (Use arrow keys to highlight your choice and then press ENTER)."

An anonymous reader writes: This week marks the 50th anniversary for the Internet "Request for Comments" (RFC) series, which started in April 1969 with the publication of RFC1 titled "Host Software" authored by Stephen D. Crocker. The early RFCs were meant to be requests for comments on ideas and proposals, says Heather Flanagan, RFC Series Editor. Today over 8500 RFCs have been published, ranging from best practice information, experimental protocols, informational material, to Internet standards. An RFC has been published to mark the fiftieth anniversary to include retrospective material from individuals involved at key inflection points, as well as a review of the current state of affairs.

mfilion shares a report from Android Police: A new "experimental containerized Android environment" from a company called Collabora allows Android apps to run in floating windows alongside native applications on desktop Linux. You can read all the technical details at the source link, but put simply, 'SPURV' creates a virtual Android device on your Linux computer, much like Bluestacks and other similar tools. There are various components of SPURV that allow the Android environment to play audio, connect to networks, and display hardware-accelerated graphics through the underlying Linux system.

The most interesting part is 'SPURV HWComposer,' which renders Android applications in windows, alongside the windows from native Linux applications. This is what sets SPURV apart from (most) other methods of running Android on a computer. For this to work, the Linux desktop has to be using the Wayland display server (some Linux-based OSes use X11). Pre-built binaries for SPURV are not currently available -- you have to build it yourself from the source code. Still, it's an interesting proof-of-concept, and hopefully someone turns it into a full-featured product.

Yesterday Billboard magazine reported that Elon Musk had dropped a rap song on SoundCloud -- an auto-tuned song called "RIP Harambe." Posted under the handle Emo G Records, the two-minute track pays tribute to the Cincinnati Zoo gorilla who was killed in 2016 after a 3-year-old climbed into its living area. It's unclear if Musk stumbled upon the track, which has his name on it, or if he released the track himself...

"RIP Harambe" had more than 200,000 plays as of Sunday afternoon.
Some Twitter users left bemused replies, like "Dude, sober up by Thursday's contempt hearing." But the song appears to be part of a longer series of tweets. An anonymous reader writes: On Friday Musk had shared a blank tweet containing nothing but an emoji of a duck with his 25.5 million followers. It drew over 24,000 re-tweets, and 4,300 comments -- far more than the Harambe song (which drew only 14,000 retweets and 1,600 comments.) "Duck emoji FTW," Musk tweeted triumphantly on Sunday, following up on his earlier observation that "Duck emoji defeats Emo G Records. Crushing victory."
In its comments there was also a joke about X.com (the original online banking site Musk launched in 1999, which was eventually merged into PayPal). In 2017 Musk repurchased the domain because "it has great sentimental value" -- but replaced it with an entirely blank page with one lowercase x. In response to the duck emoji, someone tweeted that next Musk needed to update X.com.

Musk promptly replied by tweeting the URL x.com/x -- which (due to the site's error-handling) pulls up a web page with a single lowercase y.

Slashdot reader RockDoctor writes: The project to actually construct Babbage's Analytical Engine, the first design for a general purpose computing machine, continues with the documentation phase of the programme. Since Babbage continued to refine his design almost until the day of his death, working out what he actually wanted to build is quite a task. The last year's work is reported to includes work on a batch of previously unknown and uncatalogued materials discovered since the project's inception in 2011.

These decades, people don't think much of producing a new programming language to suit particular tasks — to "scratch an itch" in the vernacular. As with so many things, Babbage was a pioneer, according to the Plan 28 blog: :

There have already been significant finds. The Notations for Difference Engine 1, dating from 1834, thought to exist, had never come to light. These have now been found and represent a crucial piece in the puzzle of the developmental trajectory of the symbolic language Babbage developed as a design aid, to describe and specify his engine, and used extensively in the development of the Analytical Engine.

RockDoctor adds, "Anyone who has been tasked with taking over a project from someone else (retired, sacked, beheaded, whatever) will recognise this feeling..."

The survey so far has identified mis-titled drawings, single drawings that have two unrelated catalogue entries, and drawings known to exist from earlier scholarly work but not located.

"The hope of the project is to have a working machine in time for Babbages sesquicentenary in 2021."

IEEE Spectrum is publishing a six-part series exploring the human history of AI. the_newsbeagle writes: The 19th century British engineer Charles Babbage is sometimes called the father of the computer. But his first design for a massive computing machine, a contraption called the Difference Engine that had some 25,000 parts, was just a giant calculator intended to handle logarithmic tables. It wasn't until he began designing his first Analytical Engine that he began to dream of a smart machine that could handle more general-purpose computations.

This short essay argues that Babbage's creative leap was inspired by an early example of AI hype: A supposed chess-playing machine called The Turk that had astounded onlookers throughout the courts of Europe. Babbage played two games against the Turk, and lost both.

Long-time Slashdot reader colinwb writes: A team of researchers has published a letter in Nature (2019) estimating the distance to the Large Magellanic Cloud" to a precision of one per cent; Arxiv (2019).

The Arxiv abstract: In the era of precision cosmology, it is essential to empirically determine the Hubble constant with an accuracy of one per cent or better. At present, the uncertainty on this constant is dominated by the uncertainty in the calibration of the Cepheid period — luminosity relationship (also known as Leavitt Law). The Large Magellanic Cloud has traditionally served as the best galaxy with which to calibrate Cepheid period-luminosity relations, and as a result has become the best anchor point for the cosmic distance scale. Eclipsing binary systems composed of late-type stars offer the most precise and accurate way to measure the distance to the Large Magellanic Cloud. Currently the limit of the precision attainable with this technique is about two per cent, and is set by the precision of the existing calibrations of the surface brightness — colour relation. Here we report the calibration of the surface brightness-colour relation with a precision of 0.8 per cent. We use this calibration to determine the geometrical distance to the Large Magellanic Cloud that is precise to 1 per cent based on 20 eclipsing binary systems. The final distane is 49.59 +/- 0.09 (statistical) +/- 0.54 (systematic) kiloparsecs.

In 2013 a team of researchers (including several of the current researchers) published a letter in Nature (2013) which estimated the distance with a precision of two per cent; Arxiv (2013).

Another team of researchers has also posted their recent research on Arxiv (2019) in which they provide a 1% foundation for the determination of the Hubble Constant.

All the links are to abstracts; the full letters to Nature are paywalled, but the Arxiv abstracts have links to PDFs which seem to be complete and accessible.

A research duo who hacked a Tesla were the big winners at the annual Pwn2Own white hat security contest, reports ZDNet. "The duo earned $375,000 in prize money, of the total of $545,000 awarded during the whole three-day competition... They also get to keep the car." Team Fluoroacetate -- made up of Amat Cama and Richard Zhu -- hacked the Tesla car via its browser. They used a JIT bug in the browser renderer process to execute code on the car's firmware and show a message on its entertainment system... Besides keeping the car, they also received a $35,000 reward. "In the coming days we will release a software update that addresses this research," a Tesla spokesperson told ZDNet today in regards to the Pwn2Own vulnerability.

Not coincidentally, Team Fluoroacetate also won the three-day contest after earning 36 "Master of Pwn" points for successful exploits in Apple Safari, Firefox, Microsoft Edge, VMware Workstation, and Windows 10... [R]esearchers also exploited vulnerabilities in Apple Safari, Microsoft Edge, VMware Workstation, Oracle Virtualbox, and Windows 10.

An anonymous reader quotes a report from Motherboard: Now, for Pi Day (March 14), music software programmer Canton Becker has crafted a million-hour song based on Pi that unfolds generatively on a virtual tape deck. Titled "Shepard's Pi," the song combines two of Becker's favorite infinities: Pi, and an auditory illusion called a Shepard tone, which he describes as an "unsettling sonic illusion of a pitch that climbs or descends forever, never reaching a top or a bottom." Found at PiSongs.com, users can tune into "Shepard's Pi" in real time with a custom virtual tape deck. The track itself evolves moment to moment, but the synthesized and sampled tones will be familiar to anyone who has ever listened to the electronic music of Kraftwerk, Tangerine Dream, Aphex Twin, and Global Communication. Far from being a mere gimmick, it is a highly evocative and transporting piece of electronic music, alternately ambient, glitchy, and interestingly rhythmic. The 58,999 GB MP3 file needed to be distributed via a webpage or app, so Becker "started hacking away at the basic algorithm in the programming languages PHP and Javascript," reports Motherboard. "In between coding marathons, Becker composed and recorded the loops and samples that would form the basis of the song. He experimented with sounds that would work well together regardless of being stacked one upon the other."

"When users hit 'play' on the virtual tape deck, the algorithm actually 'performs' the piece," the report says. "This way, the 114-year song can fit in just one gigabyte of space, which is mostly comprised of the digits of Pi. The virtual tape deck was also a solution to a built-in quirk of browsers such as Chrome, Safari, and Firefox -- users must click on a webpage to trigger a sound." From start to finish, the song lasts 999,999 hours, "a limitation imposed by only considering the first one billion digits of Pi."

fahrbot-bot shares a report from Phys.Org: Researchers from the Moscow Institute of Physics and Technology teamed up with colleagues from the U.S. and Switzerland and returned the state of a quantum computer a fraction of a second into the past. They also calculated the probability that an electron in empty interstellar space will spontaneously travel back into its recent past. The study is published in Scientific Reports.

Quantum physicists from MIPT decided to check if time could spontaneously reverse itself at least for an individual particle and for a tiny fraction of a second. That is, instead of colliding billiard balls, they examined a solitary electron in empty interstellar space. "Suppose the electron is localized when we begin observing it. This means that we're pretty sure about its position in space. The laws of quantum mechanics prevent us from knowing it with absolute precision, but we can outline a small region where the electron is localized," says study co-author Andrey Lebedev from MIPT and ETH Zurich. The physicist explains that the evolution of the electron state is governed by Schrodinger's equation. Although it makes no distinction between the future and the past, the region of space containing the electron will spread out very quickly. That is, the system tends to become more chaotic. The uncertainty of the electron's position is growing. This is analogous to the increasing disorder in a large-scale system -- such as a billiard table -- due to the second law of thermodynamics.

"However, Schrodinger's equation is reversible," adds Valerii Vinokur, a co-author of the paper, from the Argonne National Laboratory, U.S. "Mathematically, it means that under a certain transformation called complex conjugation, the equation will describe a 'smeared' electron localizing back into a small region of space over the same time period." Although this phenomenon is not observed in nature, it could theoretically happen due to a random fluctuation in the cosmic microwave background permeating the universe. The team set out to calculate the probability to observe an electron "smeared out" over a fraction of a second spontaneously localizing into its recent past. It turned out that even across the entire lifetime of the universe -- 13.7 billion years -- observing 10 billion freshly localized electrons every second, the reverse evolution of the particle's state would only happen once. And even then, the electron would travel no more than a mere one ten-billionth of a second into the past. The researchers then attempted to reverse time in a four-stage experiment by observing the state of a quantum computer made of superconducting qubits, instead of an electron. The researchers "found that in 85 percent of the cases, the two-qubit quantum computer returned back into the initial state," reports Phys.Org. "When three qubits were involved, more errors happened, resulting in a roughly 50 percent success rate. According to the authors, these errors are due to imperfections in the actual quantum computer. As more sophisticated devices are designed, the error rate is expected to drop."

Chronicle, a security start-up owned by Google's parent company, Alphabet, plans on sharing what it learned from a cyberattack against Google nearly ten years ago. The hack was conducted by the Chinese military and was "one of the most starting cyberattacks on an American company by government-affiliated agents," reports The New York Times. The lessons it learned from that incident will be brought to other companies through a widely anticipated new product called Backstory. From the report: The idea, company executives said, is simple: Backstory will make Alphabet's vast storage, indexing and search abilities available to other companies, allowing them to search through giant volumes of data, going years back, to trace the back story of a malicious attack. Chronicle is hardly the only company doing this. Dozens of companies promise so-called big data threat intelligence and storage. But many of their customers can't afford to pay to search through huge amounts of information. Chronicle will charge customers by their number of employees.

The hack on Google, called Operation Aurora, was historic for an unusual reason: It was the first time a Chinese government hacking victim confronted its attacker. Inside the company, Sergey Brin, one of Google's co-founders, made it his personal mission to make sure something like Aurora never happened again. Google, known for its motto "Don't Be Evil," had a new motto about its cybersecurity: "Never again." Google poached cyberexperts from the National Security Agency and Silicon Valley. It built a threat analysis group on a par with those at the top intelligence agencies and designed a new security infrastructure. It also created a new team, called Google Project Zero, to hunt for critical security flaws in technology outside Google. Chronicle was founded by Mike Wiacek, who started Google's threat analysis group after studying threats at the N.S.A., and Stephen Gillett, the former chief information officer at Starbucks and chief operating officer at Symantec.

An anonymous reader writes from a report via NPR: Netflix announced this week that it has acquired the rights to stream Chinese sci-fi blockbuster "The Wandering Earth," which has already grossed more than $600 million globally and hit number two in the all-time Chinese box office rankings since it was released in theaters Feb. 5. Netflix will translate the movie into 28 languages and release it in more than 190 countries. The movie, based on a short story by Hugo award winner Liu Cixin (author of "Three Body Problem" and "Ball Lighting") is set in a distant future in which the earth is about to be devoured by the sun. Using propulsive engines, humans turn earth into a spaceship and try to launch it out of the solar system and the planet is saved by a Chinese hero (rather than American ones as typically seen in Hollywood sci-fi movies.)

For China's film industry, the release marks a major milestone. "Filmmakers in China see science fiction as a holy grail," Raymond Zhou, an independent critic, told The New York Times. "It's like the coming-of-age of the industry." Two sci-fi movies, "The Wandering Earth" and "Crazy Alien," which is also inspired by Liu's work, topped this Chinese New Year movie season. Inkoo Kang wrote at Slate that the film "understands what American blockbusters are still loath to admit: Responding to climate change will pose infrastructural challenges on a massive order and require drastic measures on a planetary scale. Perhaps it takes a country like China, which is accustomed to a manic rate of construction and grandness of organizational possibility, to seriously consider how dramatically humanity will have to reimagine our ways of life to survive such a catastrophic force."

An anonymous reader writes from a report via NPR: Netflix announced this week that it has acquired the rights to stream Chinese sci-fi blockbuster "The Wandering Earth," which has already grossed more than $600 million globally and hit number two in the all-time Chinese box office rankings since it was released in theaters Feb. 5. Netflix will translate the movie into 28 languages and release it in more than 190 countries. The movie, based on a short story by Hugo award winner Liu Cixin (author of "Three Body Problem" and "Ball Lighting") is set in a distant future in which the earth is about to be devoured by the sun. Using propulsive engines, humans turn earth into a spaceship and try to launch it out of the solar system and the planet is saved by a Chinese hero (rather than American ones as typically seen in Hollywood sci-fi movies.)

For China's film industry, the release marks a major milestone. "Filmmakers in China see science fiction as a holy grail," Raymond Zhou, an independent critic, told The New York Times. "It's like the coming-of-age of the industry." Two sci-fi movies, "The Wandering Earth" and "Crazy Alien," which is also inspired by Liu's work, topped this Chinese New Year movie season. Inkoo Kang wrote at Slate that the film "understands what American blockbusters are still loath to admit: Responding to climate change will pose infrastructural challenges on a massive order and require drastic measures on a planetary scale. Perhaps it takes a country like China, which is accustomed to a manic rate of construction and grandness of organizational possibility, to seriously consider how dramatically humanity will have to reimagine our ways of life to survive such a catastrophic force."

An anonymous reader writes from a report via NPR: Netflix announced this week that it has acquired the rights to stream Chinese sci-fi blockbuster "The Wandering Earth," which has already grossed more than $600 million globally and hit number two in the all-time Chinese box office rankings since it was released in theaters Feb. 5. Netflix will translate the movie into 28 languages and release it in more than 190 countries. The movie, based on a short story by Hugo award winner Liu Cixin (author of "Three Body Problem" and "Ball Lighting") is set in a distant future in which the earth is about to be devoured by the sun. Using propulsive engines, humans turn earth into a spaceship and try to launch it out of the solar system and the planet is saved by a Chinese hero (rather than American ones as typically seen in Hollywood sci-fi movies.)

For China's film industry, the release marks a major milestone. "Filmmakers in China see science fiction as a holy grail," Raymond Zhou, an independent critic, told The New York Times. "It's like the coming-of-age of the industry." Two sci-fi movies, "The Wandering Earth" and "Crazy Alien," which is also inspired by Liu's work, topped this Chinese New Year movie season. Inkoo Kang wrote at Slate that the film "understands what American blockbusters are still loath to admit: Responding to climate change will pose infrastructural challenges on a massive order and require drastic measures on a planetary scale. Perhaps it takes a country like China, which is accustomed to a manic rate of construction and grandness of organizational possibility, to seriously consider how dramatically humanity will have to reimagine our ways of life to survive such a catastrophic force."

Earlier this week, Disney, Nestle and others pulled its advertising spending from YouTube after a blogger detailed how comments on Google's video site were being used to facilitate a "soft-core pedophilia ring." Some of the videos involved ran next to ads placed by Disney and Nestle. With the company facing similar problems over the years, often being "caught in a game of whack-a-mole to fix them," Matt Rosoff from CNBC writes that it's only a matter of time until YouTube faces a scandal that actually alienates users, as happened with Facebook in the Cambridge Analytica scandal. From the report: To be fair, YouTube has taken concrete steps to fix some problems. A couple of years ago, major news events were targets for scammers to post misleading videos about them, like videos claiming shootings such as the one in Parkland, Florida, were staged by crisis actors. In January, the company said it would stop recommending such videos, effectively burying them. It also favors "authoritative" sources in search results around major news events, like mainstream media organizations. And YouTube is not alone in struggling to fight inappropriate content that users upload to its platform. The problem isn't really about YouTube, Facebook or any single company. The problem is the entire business model around user-generated content, and the whack-a-mole game of trying to stay one step ahead of people who abuse it.

[T]ech platforms that rely on user-generated content are protected by the 1996 Communications Decency Act, which says platform providers cannot be held liable for material users post on them. It made sense at the time -- the internet was young, and forcing start-ups to monitor their comments sections (remember comments sections?) would have exploded their expenses and stopped growth before it started. Even now, when some of these companies are worth hundreds of billions of dollars, holding them liable for user-generated content would blow up these companies' business models. They'd disappear, reduce services or have to charge fees for them. Voters might not be happy if Facebook went out of business or they suddenly had to start paying $20 a month to use YouTube. Similarly, advertiser boycotts tend to be short-lived -- advertisers go where they get the best return on their investment, and as long as billions of people keep watching YouTube videos, they'll keep advertising on the platform. So the only way things will change is if users get turned off so badly that they tune out. Following Facebook's Cambridge Analytica scandal, people deleted their accounts, Facebook's growth largely stalled in the U.S., and more young users have abandoned the platform. "YouTube has so far skated free of any similar scandals. But people are paying closer attention than ever before, and it's only a matter of time before the big scandal that actually starts driving users away," writes Rosoff.

NASA is keeping an eye on the Brunt Ice Shelf, home to the British Antarctic Survey's Halley VI Research Station, which has growing cracks that are threatening to unload an iceberg soon. "NASA/USGS Landsat satellites are monitoring the action as the cracks grow," reports CNET. "When the iceberg calves, it could be twice the size of New York City. That would make it the largest berg to break off the Brunt ice shelf since observations of the area began in 1915." From the report: An annotated view of the ice shelf shows the cracks as they relate to the Halley VI station. The crack leading up the middle is especially concerning. It's been stable for 35 years, but NASA says it's now extending northward as fast as 2.5 miles (4 kilometers) per year. As of December, Halley station was home to around 30 science and technical staff on missions to study the ice shelf and climate change in the polar region. The BAS completed a relocation of the futuristic-looking Halley station in 2017, placing it farther away from the unpredictable cracking. "It is not yet clear how the remaining ice shelf will respond following the break, posing an uncertain future for scientific infrastructure and a human presence on the shelf that was first established in 1955," NASA says. NASA says iceberg calving is "a normal part of the life cycle of ice shelves, but the recent changes are unfamiliar in this area."

The Guardian reports: Bruno Ganz, the Swiss actor who played Adolf Hitler in the film Downfall, has died in Zurich at the age of 77, his agent announced. The actor became internationally renowned for his 2004 portrayal of the German dictator's final days inside his Berlin bunker. In a Guardian review of Downfall Rob Mackie described Ganz as "the most convincing screen Hitler yet: an old, bent, sick dictator with the shaking hands of someone with Parkinson's, alternating between rage and despair in his last days in the bunker...." It is widely believed to be the cinematic footage most often shared online, as well as the cause of one of the world's most productive internet memes.
They're referring to "One climactic scene featuring a Ganz tour de force" that was "relentlessly parodied in widespread 'Hitler Finds Out...' videos, featuring anachronistic subtitles depicting his rage and fury over topical, mundane, or banal events and trivial gossip," explains long-time Slashdot reader Freshly Exhumed:

The spread of the meme was aided inestimably by the Streisand Effect caused when the production company, Constantin Films began sending DMCA takedown notices to YouTube. Eventually the company relented as the parodies constituted strong fair use cases.
When the director of the film was asked about the parodies, he admitted that "I think I've seen about 145 of them! Of course, I have to put the sound down when I watch. Many times the lines are so funny, I laugh out loud, and I'm laughing about the scene that I staged myself! You couldn't get a better compliment as a director."

Slashdot reader Drakster writes: Hollywood producer and writer James Cameron, who is best known for his first two Terminator films, Titanic, Avatar, and Aliens, has released his most recent film this week, Alita: Battle Angel, to mostly mixed to positive reviews. First announced in 2003, based on Yukito Kishiro's Gunnm manga series, it was stuck in development for several years, finally starting production in 2008. Slashdot last discussed this fifteen years ago, so now that it's finally here. For those who have seen it, what did you think? Met or surpassed your expectations, or not worth the wait?

dryriver writes: For those who are unfamiliar with the story, from 1901-1902, inventor Nikola Tesla had a 187-foot-tall experimental wireless electricity transmission tower called the "Wardenclyffe Tower" built in Shoreham, New York. Tesla believed that it was possible to generate electrical power on a large scale in one part of the world and transmit that electrical power to electrical receivers in far away parts of the world wirelessly, using parts of Earth's atmosphere as the conducting medium. Tesla had huge problems getting the project financed -- powerful banker J.P. Morgan didn't play along and U.S. President Woodrow Wilson didn't help a pleading Tesla either. An excerpt from a Wardenclyffe documentary shows the tower finally being dynamited and sold for scrap in 1917. The Wardenclyffe Tower never reached operational status; wireless electrical transmission between continents never happened; Tesla became an emotionally broken man who died regretting that he did not manage to finish his life's work; and to this day nobody knows exactly how the Wardenclyffe Tower was supposed to function technically. To the question: Do you believe that Tesla's dream of electrical devices anywhere in the world essentially being able to draw electrical power from the sky with a relatively simple antenna could have worked, had he gotten the necessary funding to complete his experiments?

A comprehensive multi-year study by the non-profit Epicenter.works, comparing the 30 member countries of the European Union (EU) on net neutrality enforcement, has found that zero rating business practices by wireless carriers have increased the cost of wireless data compared to countries without zero rating. From a report: This directly contradicts all of the assertions by major wireless carriers that their zero rating practices are "free data" for consumers. Based on the evidence, zero rating not only serves as a means to enhance ISPs' power over the Internet, but it's also how they charge consumers more money for wireless service. Zero rating was originally going to be banned by the FCC under the General Conduct Rule, but when the FCC changed leadership the agency promptly green lighted and encouraged the industry to engage in zero rating practices before it began its repeal of net neutrality.

Tim O'Reilly, writing for Quartz: The pursuit of monopoly has led Silicon Valley astray. Look no further than the race between Lyft and Uber to dominate the online ride-hailing market. Both companies are gearing up for their IPOs in the next few months. Street talk has Lyft shooting for a valuation between $15 and $30 billion dollars, and Uber valued at an astonishing $120 billion dollars. Neither company is profitable; their enormous valuations are based on the premise that if a company grows big enough and fast enough, profits will eventually follow.

Most monopolies or duopolies develop over time, and have been considered dangerous to competitive markets; now they are sought after from the start and are the holy grail for investors. If LinkedIn co-founder Reid Hoffman and entrepreneur Chris Yeh's new book Blitzscaling is to be believed, the Uber-style race to the top (or the bottom, depending on your point of view) is the secret of success for today's technology businesses. Blitzscaling promises to teach techniques that are "the lightning fast path to building massively valuable companies." Hoffman and Yeh argue that in today's world, it's essential to "achieve massive scale at incredible speed" in order to seize the ground before competitors do. By their definition, blitzscaling (derived from the blitzkrieg or "lightning war" strategy of Nazi general Heinz Guderian) "prioritizes speed over efficiency," and risks "potentially disastrous defeat in order to maximize speed and surprise."

Many of these businesses depend on network effects, which means that the company that gets to scale first is likely to stay on top. So, for startups, this strategy typically involves raising lots of capital and moving quickly to dominate a new market, even when the company's leaders may not know how they are going to make money in the long term. This premise has become doctrine in Silicon Valley. But is it correct? And is it good for society? I have my doubts. Imagine, for a moment, a world in which Uber and Lyft hadn't been able to raise billions of dollars in a winner-takes-all race to dominate the online ride-hailing market. How might that market have developed differently?

An anonymous reader quotes a report from The Atlantic: Meteorologists have never gotten a shiny magazine cover or a brooding Aaron Sorkin film, and the weather-research hub of Norman, Oklahoma, is rarely mentioned in the same breath as Palo Alto. But over the past few decades, scientists have gotten significantly -- even staggeringly -- better at predicting the weather. How much better? "A modern five-day forecast is as accurate as a one-day forecast was in 1980," says a new paper, published last week in the journal Science. "Useful forecasts now reach nine to 10 days into the future." "Modern 72-hour predictions of hurricane tracks are more accurate than 24-hour forecasts were 40 years ago," the authors write. The federal government now predicts storm surge, stream level, and the likelihood of drought. It has also gotten better at talking about its forecasts: As I wrote in 2017, the National Weather Service has dropped professional jargon in favor of clear, direct, and everyday language. "Everybody's improving, and they're improving a lot," says Richard Alley, an author of the paper and a geoscientist at Penn State.

Understanding months-long events like El Niño, for instance, has allowed meteorologists to go beyond the seven-day forecast. Alley, the Penn State professor, says that he is awed by the new models. Well-studied features of Earth's climate -- like the temperate Gulf Stream in the Atlantic Ocean -- emerge in computer models, even though developers have written code that only mimics basic physics. We are now surrounded by the products of these miraculous models. In 2009, a back-of-the-envelope study estimated that U.S. adults check the weather forecast about 300 billion times per year. Perhaps in all that checking we have forgotten how strange the forecast is, how almost supernatural it is that people can describe the weather before it happens. More than 1,000 years ago, the Spanish archbishop Agobard of Lyon argued that no witch could control the weather because only God could understand it. "Man does not know the paths of the clouds, nor their perfect knowledges," he wrote. He cited the Book of Job for authority, which asks: "Dost thou know when God caused the light of his cloud to shine? Dost thou know the balancings of the clouds ?"

"China hasn't launched a new nuclear reactor build for over two years, but Chinese press reports that this nuclear hiatus has broken," writes Slashdot reader carbonnation. "Approvals have reportedly been made for four Hualong One reactors -- a domestic "Generation III" design -- instead of U.S.-designed AP1000s." From a report via MIT Technology Review: China's Jiemian News started the chatter on Tuesday with an exclusive interview with senior leadership of the Hualong One design's owner, Hualong International Nuclear Power Technology, a collaboration of nuclear heavyweights China General Nuclear Power (CGN) and China National Nuclear Corp. (CNNC). According to the news site, the joint venture's leaders said that two dual-reactor projects had received provisional permission to begin pouring concrete. Other publications also picked up the story yesterday, including First Financial Journal, which claimed to have confirmed the approvals through "relevant authoritative channels." CNNC and CGN have not responded to the media reports.

The reactors are slated for two new sites along China's coast: CNNC's Zhangzhou power project in Fujian and CGN's Huizhou Taipingling project in Guangdong. Both projects had been planned and approved by Chinese authorities with Westinghouse's AP1000 reactor design, which promises safety advances such as passive cooling. That means it stores water above the reactor, leveraging gravity to keep the plant cool should the pumps fail. But Westinghouse's flagship AP1000 projects have been plagued by cost overruns and delays. Those troubles may have helped the Hualong One to catch up. CNNC started building the first Hualong One reactor in 2015 at its Fuqing power plant and expects to have it operating later this year.

Google Chrome browser is set to add a feature that will warn users when accessing sites with domain names that look like authentic websites. From a report: The feature has been in the works for quite some time at Google and is a response to the practice of using typosquatted domains or IDN homograph attacks to lure users on websites they didn't intend to access. Since the release of Chrome Canary 70, Google engineers have been testing a new feature called "Navigation suggestions for lookalike URLs." In Chrome Canary distributions -- Google Chrome's testing ground for new features -- users can access the following URL to enable the feature: chrome://flags/#enable-lookalike-url-navigation-suggestions.

Google Chrome browser is set to add a feature that will warn users when accessing sites with domain names that look like authentic websites. From a report: The feature has been in the works for quite some time at Google and is a response to the practice of using typosquatted domains or IDN homograph attacks to lure users on websites they didn't intend to access. Since the release of Chrome Canary 70, Google engineers have been testing a new feature called "Navigation suggestions for lookalike URLs." In Chrome Canary distributions -- Google Chrome's testing ground for new features -- users can access the following URL to enable the feature: chrome://flags/#enable-lookalike-url-navigation-suggestions.

schwit1 shares a report from VentureBeat: Google has been hit by a $57 million fine by French data privacy body CNIL (National Data Protection Commission) for failure to comply with the EU's General Data Protection Regulation (GDPR) regulations. The CNIL said that it was fining Google for "lack of transparency, inadequate information and lack of valid consent regarding the ads personalization," according to a press release issued by the organization. The news was first reported by the AFP. What the CNIL is effectively referencing here is dark pattern design, which attempts to encourage users into accepting terms by guiding their choices through the design and layout of the interface. This is something that Facebook has often done too, as it has sought to garner user consent for new features or T&Cs.

It's worth noting here that Google has faced considerable pressure from the EU on a number of fronts over the way it carries out business. Back in July, it was hit with a record $5 billion fine in an Android antitrust case, though it is currently appealing that. A few months back, Google overhauled its Android business model in Europe, electing to charge Android device makers a licensing fee to preinstall its apps in Europe. Google hasn't confirmed what its next steps will be, but it will likely appeal the decision as it has done with other fines. "People expect high standards of transparency and control from us," a Google spokesperson told VentureBeat. "We're deeply committed to meeting those expectations and the consent requirements of the GDPR. We're studying the decision to determine our next steps."

DerbyCon 9.0, the upcoming edition of the popular InfoSec conference in September, will be its last. From an official announcement: When we first started DerbyCon, our goal was to create a conference where we could all come together to collaborate and share as a community, but most importantly as a profession. DerbyCon 1.0 was a huge gamble for us both personally and financially, but we believed in what we were doing, and it worked. For those that don't know the history of DerbyCon, it started off inside of a pizza shop as an idea between a few friends. Our goal was to create an affordable conference that shared a lot of what we had experienced in our early days in security. The ideas of collaboration, community, and the betterment of the industry and the safety of technology were at the forefront. At the end of DerbyCon 1.0, we realized that the conference was a huge success and our dream became a reality.

[...] What we have had to deal with on the back-end the past few years is more than just running a conference and sharing with friends. The conference scene in general changed drastically and small pocket groups focus on outrage and disruption where there is no right answer (regardless of how you respond, it's wrong), instead of coming together, or making the industry better. There is a small, yet vocal group of people creating negativity, polarization, and disruption, with the primary intent of self-promotion to advance a career, for personal gain, or for more social media followers. Individuals that would have us be judge, jury, and executioner for people they have had issues with outside of the conference that has nothing to do with the conference itself.

Instead of working hard in research, being a positive force in the industry, or sharing their own unique experiences (which makes us better as a whole), they tear others down in order to promote themselves. This isn't just about DerbyCon, it is present at other conferences as well and it's getting worse each year. We've spoken with a number of conference organizers, and each year it becomes substantially more difficult to host a conference where people can come together in large group settings. It's not just conferences either. This behavior is happening all over the place on social media, in our industry, targeting people trying to do good. As a community, we add fuel to fire, attack others, and give them a platform in one massive toxic environment. We do this all in fear of repercussions from upsetting others. Until this pattern changes, it will continue to get worse.

brindafella writes: The jaw bone of a woman who died around 1000-1200 AD has specks of precious lapis lazuli (mineral) in the plaque of her teeth. This indicates that this woman would have licked the brush used in preparing precious illuminated manuscripts at the women's monastery in Dalheim in western Germany. The study by researchers from German-based Max Planck Institute for the Science of Human History and Britain's University of York showed that women, as well as men, were part of the production of the valuable manuscripts. "The researchers said this challenged long-held beliefs that women had played little role in the European Middle Ages in producing literary and written texts which came largely from religious institutions," reports the Australian Broadcasting Corporation. "Researcher Christina Warinner said this finding from the 11th century was unprecedented in showing more women were literate, educated and encouraged to read at that time."

brindafella writes: The jaw bone of a woman who died around 1000-1200 AD has specks of precious lapis lazuli (mineral) in the plaque of her teeth. This indicates that this woman would have licked the brush used in preparing precious illuminated manuscripts at the women's monastery in Dalheim in western Germany. The study by researchers from German-based Max Planck Institute for the Science of Human History and Britain's University of York showed that women, as well as men, were part of the production of the valuable manuscripts. "The researchers said this challenged long-held beliefs that women had played little role in the European Middle Ages in producing literary and written texts which came largely from religious institutions," reports the Australian Broadcasting Corporation. "Researcher Christina Warinner said this finding from the 11th century was unprecedented in showing more women were literate, educated and encouraged to read at that time."

The L3 protection level of Google's Widevine DRM technology has been cracked by a British security researcher who can now decrypt content transferred via DRM-protected multimedia streams. ZDNet's Catalin Cimpanu notes that while this "sounds very cool," it's not likely to fuel a massive piracy wave because "the hack works only against Widevine L3 streams, and not L2 and L1, which are the ones that carry high-quality audio and video content." From the report: Google designed its Widevine DRM technology to work on three data protection levels --L1, L2, and L3-- each usable in various scenarios. According to Google's docs, the differences between the three protection levels is as follows:

L1 - all content processing and cryptography operations are handled inside a CPU that supports a Trusted Execution Environment (TEE).
L2 - only cryptography operations are handled inside a TEE.
L3 - content processing and cryptography operations are (intentionally) handled outside of a TEE, or the device doesn't support a TEE

"Soooo, after a few evenings of work, I've 100% broken Widevine L3 DRM," [British security researcher David Buchanan] said on Twitter. "Their Whitebox AES-128 implementation is vulnerable to the well-studied DFA attack, which can be used to recover the original key. Then you can decrypt the MPEG-CENC streams with plain old ffmpeg." Albeit Buchanan did not yet release any proof-of-concept code, it wouldn't help anyone if he did. In order to get the DRM-encrypted data blob that you want to decrypt, an attacker would still need "the right/permission" to receive the data blob in the first place. If a Netflix pirate would have this right (being an account holder), then he'd most likely (ab)use it to pirate a higher-quality version of the content, instead of bothering to decrypt low-res video and lo-fi audio. The only advantage is in regards to automating the pirating process, but as some users have pointed out, this isn't very appealing in today's tech scene where almost all devices are capable of playing HD multimedia [1, 2].

From a 9to5Mac report: As the new year begins in Pacific Time, where Apple's Cupertino headquarters are based, the AirPower charging mat has officially missed its 2018 release window. The charging mat promised to charge iPhone, Apple Watch and AirPods on a single compact mat with flexibility on where devices can be placed. However, the product has been rumored to have faced internal development challenges as late as this past summer, which prevented Apple from bringing the product to market as smoothly as it expected.

[...] Unusually, Apple has not provided a statement to press with an update on AirPower's status. Apple refused to acknowledge the product at its September and October events, and has not responded to press requests for comment at the end of December. The product therefore enters 2019 still in limbo.

Russell Lewis, writing for NPR: When Nancy Grace Roman was a child, her favorite object to draw was the moon. Her mother used to take her on walks under the nighttime sky and show her constellations, or point out the colorful swirls of the aurora. Roman loved to look up at the stars and imagine. Eventually, her passion for stargazing blossomed into a career as a renowned astronomer. Roman was one of the first female executives at NASA, where she served as the agency's first chief of astronomy. Known as the "Mother of Hubble," for her role in making the Hubble Space Telescope a reality, Roman worked at NASA for nearly two decades. She died on Dec. 25 at the age of 93.

Roman fought to earn her place in a field dominated by men, paving the path for future female scientists. She was born in Nashville, Tenn. in 1925 and organized an astronomy club in fifth grade. She attended high school in Baltimore, where she requested to take a second year of algebra instead of a fifth year of Latin. When she made the appeal, she recounted in a 2017 interview with NPR that the guidance counselor wasn't supportive of her dream to become a scientist.

Her efforts helped lead to the creation of the Hubble Space Telescope. In her role at NASA, Roman developed and planned the Hubble Space Telescope, which is famous for its stunning images of space. Because of the Hubble Space Telescope, scientists have been able to collect data and gain insight into even the most remote galaxies of the universe. The success of the project led to future space telescopes. Roman's work, however, reached far beyond just the Hubble Space Telescope. In an interview with NASA, Roman once stated that one of the highlights of her career was when she discovered the first indication that common stars were not all the same age.

Three decades ago, David Rumelhart, Geoffrey Hinton, and Ronald Williams wrote about a foundational weight-calculating technique -- backpropagation -- in a monumental paper titled "Learning Representations by Back-propagating Errors." Backpropagation, aided by increasingly cheaper, more robust computer hardware, has enabled monumental leaps in computer vision, natural language processing, machine translation, drug design, and material inspection, where some deep neural networks (DNNs) have produced results superior to human experts. Looking at the advances we have made to date, can DNNs be the harbinger of superintelligent robots? From a report: Demis Hassabis doesn't believe so -- and he would know. He's the cofounder of DeepMind, a London-based machine learning startup founded with the mission of applying insights from neuroscience and computer science toward the creation of artificial general intelligence (AGI) -- in other words, systems that could successfully perform any intellectual task that a human can. "There's still much further to go," he told VentureBeat at the NeurIPS 2018 conference in Montreal in early December. "Games or board games are quite easy in some ways because the transition model between states is very well-specified and easy to learn. Real-world 3D environments and the real world itself is much more tricky to figure out ... but it's important if you want to do planning."

Most AI systems today also don't scale very well. AlphaZero, AlphaGo, and OpenAI Five leverage a type of programming known as reinforcement learning, in which an AI-controlled software agent learns to take actions in an environment -- a board game, for example, or a MOBA -- to maximize a reward. It's helpful to imagine a system of Skinner boxes, said Hinton in an interview with VentureBeat. Skinner boxes -- which derive their name from pioneering Harvard psychologist B. F. Skinner -- make use of operant conditioning to train subject animals to perform actions, such as pressing a lever, in response to stimuli, like a light or sound. When the subject performs a behavior correctly, they receive some form of reward, often in the form of food or water. The problem with reinforcement learning methods in AI research is that the reward signals tend to be "wimpy," Hinton said. In some environments, agents become stuck looking for patterns in random data -- the so-called "noisy TV problem."

Three decades ago, David Rumelhart, Geoffrey Hinton, and Ronald Williams wrote about a foundational weight-calculating technique -- backpropagation -- in a monumental paper titled "Learning Representations by Back-propagating Errors." Backpropagation, aided by increasingly cheaper, more robust computer hardware, has enabled monumental leaps in computer vision, natural language processing, machine translation, drug design, and material inspection, where some deep neural networks (DNNs) have produced results superior to human experts. Looking at the advances we have made to date, can DNNs be the harbinger of superintelligent robots? From a report: Demis Hassabis doesn't believe so -- and he would know. He's the cofounder of DeepMind, a London-based machine learning startup founded with the mission of applying insights from neuroscience and computer science toward the creation of artificial general intelligence (AGI) -- in other words, systems that could successfully perform any intellectual task that a human can. "There's still much further to go," he told VentureBeat at the NeurIPS 2018 conference in Montreal in early December. "Games or board games are quite easy in some ways because the transition model between states is very well-specified and easy to learn. Real-world 3D environments and the real world itself is much more tricky to figure out ... but it's important if you want to do planning."

Most AI systems today also don't scale very well. AlphaZero, AlphaGo, and OpenAI Five leverage a type of programming known as reinforcement learning, in which an AI-controlled software agent learns to take actions in an environment -- a board game, for example, or a MOBA -- to maximize a reward. It's helpful to imagine a system of Skinner boxes, said Hinton in an interview with VentureBeat. Skinner boxes -- which derive their name from pioneering Harvard psychologist B. F. Skinner -- make use of operant conditioning to train subject animals to perform actions, such as pressing a lever, in response to stimuli, like a light or sound. When the subject performs a behavior correctly, they receive some form of reward, often in the form of food or water. The problem with reinforcement learning methods in AI research is that the reward signals tend to be "wimpy," Hinton said. In some environments, agents become stuck looking for patterns in random data -- the so-called "noisy TV problem."

Three decades ago, David Rumelhart, Geoffrey Hinton, and Ronald Williams wrote about a foundational weight-calculating technique -- backpropagation -- in a monumental paper titled "Learning Representations by Back-propagating Errors." Backpropagation, aided by increasingly cheaper, more robust computer hardware, has enabled monumental leaps in computer vision, natural language processing, machine translation, drug design, and material inspection, where some deep neural networks (DNNs) have produced results superior to human experts. Looking at the advances we have made to date, can DNNs be the harbinger of superintelligent robots? From a report: Demis Hassabis doesn't believe so -- and he would know. He's the cofounder of DeepMind, a London-based machine learning startup founded with the mission of applying insights from neuroscience and computer science toward the creation of artificial general intelligence (AGI) -- in other words, systems that could successfully perform any intellectual task that a human can. "There's still much further to go," he told VentureBeat at the NeurIPS 2018 conference in Montreal in early December. "Games or board games are quite easy in some ways because the transition model between states is very well-specified and easy to learn. Real-world 3D environments and the real world itself is much more tricky to figure out ... but it's important if you want to do planning."

Most AI systems today also don't scale very well. AlphaZero, AlphaGo, and OpenAI Five leverage a type of programming known as reinforcement learning, in which an AI-controlled software agent learns to take actions in an environment -- a board game, for example, or a MOBA -- to maximize a reward. It's helpful to imagine a system of Skinner boxes, said Hinton in an interview with VentureBeat. Skinner boxes -- which derive their name from pioneering Harvard psychologist B. F. Skinner -- make use of operant conditioning to train subject animals to perform actions, such as pressing a lever, in response to stimuli, like a light or sound. When the subject performs a behavior correctly, they receive some form of reward, often in the form of food or water. The problem with reinforcement learning methods in AI research is that the reward signals tend to be "wimpy," Hinton said. In some environments, agents become stuck looking for patterns in random data -- the so-called "noisy TV problem."

Three decades ago, David Rumelhart, Geoffrey Hinton, and Ronald Williams wrote about a foundational weight-calculating technique -- backpropagation -- in a monumental paper titled "Learning Representations by Back-propagating Errors." Backpropagation, aided by increasingly cheaper, more robust computer hardware, has enabled monumental leaps in computer vision, natural language processing, machine translation, drug design, and material inspection, where some deep neural networks (DNNs) have produced results superior to human experts. Looking at the advances we have made to date, can DNNs be the harbinger of superintelligent robots? From a report: Demis Hassabis doesn't believe so -- and he would know. He's the cofounder of DeepMind, a London-based machine learning startup founded with the mission of applying insights from neuroscience and computer science toward the creation of artificial general intelligence (AGI) -- in other words, systems that could successfully perform any intellectual task that a human can. "There's still much further to go," he told VentureBeat at the NeurIPS 2018 conference in Montreal in early December. "Games or board games are quite easy in some ways because the transition model between states is very well-specified and easy to learn. Real-world 3D environments and the real world itself is much more tricky to figure out ... but it's important if you want to do planning."

Most AI systems today also don't scale very well. AlphaZero, AlphaGo, and OpenAI Five leverage a type of programming known as reinforcement learning, in which an AI-controlled software agent learns to take actions in an environment -- a board game, for example, or a MOBA -- to maximize a reward. It's helpful to imagine a system of Skinner boxes, said Hinton in an interview with VentureBeat. Skinner boxes -- which derive their name from pioneering Harvard psychologist B. F. Skinner -- make use of operant conditioning to train subject animals to perform actions, such as pressing a lever, in response to stimuli, like a light or sound. When the subject performs a behavior correctly, they receive some form of reward, often in the form of food or water. The problem with reinforcement learning methods in AI research is that the reward signals tend to be "wimpy," Hinton said. In some environments, agents become stuck looking for patterns in random data -- the so-called "noisy TV problem."

Japan is withdrawing from the International Whaling Commission (IWC) and will resume commercial whaling next year, a government spokesman said on Wednesday, in a move expected to spark international criticism. From a report: "We have decided to withdraw from the International Whaling Commission in order to resume commercial whaling in July next year," top government spokesman Yoshihide Suga told reporters. "Commercial whaling to be resumed from July next year will be limited to Japan's territorial waters and exclusive economic zones. We will not hunt in the Antarctic waters or in the southern hemisphere," Mr Suga added.

The announcement had been widely expected and comes after Japan failed in a bid earlier this year to convince the IWC to allow it to resume commercial whaling. Tokyo has repeatedly threatened to pull out of the body and has been regularly criticised for catching hundreds of whales a year for "scientific research" despite being a signatory to a moratorium on hunting the animals. Mr Suga said Japan would officially inform the IWC of its decision by the end of the year, which will mean the withdrawal comes into effect by June 30. Leaving the IWC means Japanese whalers will be able to resume the hunting in Japanese coastal waters of minke and other whales currently protected by the commission. But Japan will not be able to continue the so-called scientific research hunts in the Antarctic that has been exceptionally allowed as an IWC member under the Antarctic Treaty.

In new book Why They Can't Write: Killing the Five-Paragraph Essay and Other Necessities, John Warner dispenses with arguments that the current moment of compositional crisis is related to screen time, text-speak, Twitter, or the idea that kids have become snowflakes who want participation trophies. An anonymous reader shares a report: There are, however, specific factors that have erected specific challenges to teaching writing in 2018; these include standardized testing, over-reliance on teaching grammar instead of writing, reliance on formulaic structure (i.e. those five-paragraph beasts), classroom surveillance, and college labor conditions. Warner examines the systemic causes in K-12 education that propel students into college without having discovered much about themselves as writers. Having explained the problems, Warner turns to solutions. The second half of the book offers his philosophical approach to teaching writing, honed over 18 years teaching first-year-writing classes at various schools, paired with practical exercises. Warner's next book, The Writer's Practice: Building Confidence in Your Nonfiction Writing, a book of exercises, will be coming out next February. Together, they offer his assessment of the problems and plan for transforming how we teach college writing in higher education.

[...] Interviewer: So why isn't the five-paragraph essay a useful starting point? Why isn't it like doing scales before playing music, or practicing free throws before playing basketball?
Warner: The danger is the prescriptive process that the use of the five-paragraph essay privileges. Students are given rules -- not just parts of speech and subject-verb agreement rules -- but [they are told] all paragraphs should have five to seven sentences. The last paragraph should start, "In conclusion," then summarize the previous three paragraphs. In a 500-word essay, the audience hasn't forgotten what you've said! So if there's a specific purpose where a five-paragraph essay is useful, go nuts.

Students need to be given experience wrestling with the full rhetorical purposes of writing. Doing that allows them to develop the kinds of thinking that writers do [and] makes them far more amenable to examining the quality of the sentences. I write bad sentences all the time in my drafts. I write ungrammatical sentences. That's how I believe how most writers work. So that's what I want students doing. A lot of what I talk about in the book a matter of re-orienting our values. The publisher hype calls The Writer's Practice revolutionary. I see it as the opposite. I have an assignment that my third-grade teacher did about the components of a peanut butter and jelly sandwich. It's not a revolution. It's stripping away the apparatus of school and getting back to essence.

In new book Why They Can't Write: Killing the Five-Paragraph Essay and Other Necessities, John Warner dispenses with arguments that the current moment of compositional crisis is related to screen time, text-speak, Twitter, or the idea that kids have become snowflakes who want participation trophies. An anonymous reader shares a report: There are, however, specific factors that have erected specific challenges to teaching writing in 2018; these include standardized testing, over-reliance on teaching grammar instead of writing, reliance on formulaic structure (i.e. those five-paragraph beasts), classroom surveillance, and college labor conditions. Warner examines the systemic causes in K-12 education that propel students into college without having discovered much about themselves as writers. Having explained the problems, Warner turns to solutions. The second half of the book offers his philosophical approach to teaching writing, honed over 18 years teaching first-year-writing classes at various schools, paired with practical exercises. Warner's next book, The Writer's Practice: Building Confidence in Your Nonfiction Writing, a book of exercises, will be coming out next February. Together, they offer his assessment of the problems and plan for transforming how we teach college writing in higher education.

[...] Interviewer: So why isn't the five-paragraph essay a useful starting point? Why isn't it like doing scales before playing music, or practicing free throws before playing basketball?
Warner: The danger is the prescriptive process that the use of the five-paragraph essay privileges. Students are given rules -- not just parts of speech and subject-verb agreement rules -- but [they are told] all paragraphs should have five to seven sentences. The last paragraph should start, "In conclusion," then summarize the previous three paragraphs. In a 500-word essay, the audience hasn't forgotten what you've said! So if there's a specific purpose where a five-paragraph essay is useful, go nuts.

Students need to be given experience wrestling with the full rhetorical purposes of writing. Doing that allows them to develop the kinds of thinking that writers do [and] makes them far more amenable to examining the quality of the sentences. I write bad sentences all the time in my drafts. I write ungrammatical sentences. That's how I believe how most writers work. So that's what I want students doing. A lot of what I talk about in the book a matter of re-orienting our values. The publisher hype calls The Writer's Practice revolutionary. I see it as the opposite. I have an assignment that my third-grade teacher did about the components of a peanut butter and jelly sandwich. It's not a revolution. It's stripping away the apparatus of school and getting back to essence.

dmoberhaus shares a report from Motherboard: A team of Japanese researchers from Keio University in Tokyo have demonstrated that an amoeba is capable of generating approximate solutions to a remarkably difficult math problem known as the "traveling salesman problem." The traveling salesman problem goes like this: Given an arbitrary number of cities and the distances between them, what is the shortest route a salesman can take that visits each city and returns to the salesman's city of origin. As these Japanese researchers demonstrated, a certain type of amoeba can be used to calculate nearly optimal solutions to the traveling salesman problem for up to eight cities. Even more remarkably, the amount of time it takes the amoeba to reach these nearly optimal solutions grows linearly, even though the number of possible solutions increases exponentially. The reason this amoeba is considered especially useful in biological computing is because it can extend various regions of its body to find the most efficient way to a food source and hates light.

To turn this natural feeding mechanism into a computer, the Japanese researcher placed the amoeba on a special plate that had 64 channels that it could extend its body into. This plate is then placed on top of a nutrient rich medium. The amoeba tries to extend its body to cover as much of the plate as possible and soak up the nutrients. Yet each channel in the plate can be illuminated, which causes the light-averse amoeba to retract from that channel. To model the traveling salesman problem, each of the 64 channels on the plate was assigned a city code between A and H, in addition to a number from 1 to 8 that indicates the order of the cities. To guide the amoeba toward a solution to the traveling salesman problem, the researchers used a neural network that would incorporate data about the amoeba's current position and distance between the cities to light up certain channels. The neural network was designed such that cities with greater distances between them are more likely to be illuminated than channels that are not. When the algorithm manipulates the chip that the amoeba is on it is basically coaxing it into taking forms that represent approximate solutions to the traveling salesman problem.

They say revenge is a dish best served cold. But for Mark Rober, it's much sweeter served smart, smelly and covered in glitter. From a report: The former NASA engineer-turned-YouTube star has received plaudits online after designing a booby trap to avenge all those who've fallen victim to a new wave of neighborhood crime: doorstep delivery theft. Rober spent six months combining GPS tracking, cameras, fart spray and glitter in an elaborate and amusing mechanism after discovering thieves had stolen an Amazon delivery from his doorstep.

In a video posted on his channel, the 38-year-old, who helped design the U.S. space agency's Curiosity Rover, said his engineering experience left him well-placed to "take a stand" after dismissive police left him feeling "powerless." "If anyone was going to make a revenge ... package and over-engineer the crap out of it, it was going to be me," said Rober, who spent nine years with NASA.

Thelasko quotes a report from Ars Technica: A half century ago, computer history took a giant leap when Douglas Engelbart -- then a mid-career 43-year-old engineer at Stanford Research Institute in the heart of Silicon Valley -- gave what has come to be known as the "mother of all demos." On December 9, 1968 at a computer conference in San Francisco, Engelbart showed off the first inklings of numerous technologies that we all now take for granted: video conferencing, a modern desktop-style user interface, word processing, hypertext, the mouse, collaborative editing, among many others. Even before his famous demonstration, Engelbart outlined his vision of the future more than a half-century ago in his historic 1962 paper, "Augmenting Human Intellect: A Conceptual Framework."

To open the 90-minute-long presentation, Engelbart posited a question that almost seems trivial to us in the early 21st century: "If in your office, you as an intellectual worker were supplied with a computer display, backed up by a computer that was alive for you all day, and was instantly responsible -- responsive -- to every action you had, how much value would you derive from that?" By 1968, Engelbart had created what he called the "oN-Line System," or NLS, a proto-Intranet. The ARPANET, the predecessor to the Internet itself, would not be established until late the following year.

Thelasko quotes a report from Ars Technica: A half century ago, computer history took a giant leap when Douglas Engelbart -- then a mid-career 43-year-old engineer at Stanford Research Institute in the heart of Silicon Valley -- gave what has come to be known as the "mother of all demos." On December 9, 1968 at a computer conference in San Francisco, Engelbart showed off the first inklings of numerous technologies that we all now take for granted: video conferencing, a modern desktop-style user interface, word processing, hypertext, the mouse, collaborative editing, among many others. Even before his famous demonstration, Engelbart outlined his vision of the future more than a half-century ago in his historic 1962 paper, "Augmenting Human Intellect: A Conceptual Framework."

To open the 90-minute-long presentation, Engelbart posited a question that almost seems trivial to us in the early 21st century: "If in your office, you as an intellectual worker were supplied with a computer display, backed up by a computer that was alive for you all day, and was instantly responsible -- responsive -- to every action you had, how much value would you derive from that?" By 1968, Engelbart had created what he called the "oN-Line System," or NLS, a proto-Intranet. The ARPANET, the predecessor to the Internet itself, would not be established until late the following year.

An anonymous reader writes: A new variant of the Shamoon malware was discovered on the network of an Italian and UAE oil and gas company. While the damage at the UAE firm is currently unknown, the malware has been confirmed to have destroyed files on about ten percent of the Italian company's PC fleet. Shamoon is one of the most dangerous strains of malware known to date. It was first deployed in two separate incidents that targeted the infrastructure of Saudi Aramco, Saudi Arabia's largest oil producer, in 2012 and 2016. During those incidents, the malware wiped files and replaced them with propaganda images (burning U.S. flag and body of Alan Kurdi). The 2012 attack was devastating in particular, with Shamoon wiping data on over 30,000 computers, crippling the company's activity for weeks. Historically, the malware has been tied to the Iranian regime, but it's unclear if Iranian hackers were behind these latest attacks. This new Shamoon version was revealed to the world when an Italian engineer uploaded the malware on VirusTotal, triggering detections at all major cyber-security firms across the globe.

schwit1 shares a report from The Times: It will shake houses and tall buildings, and unleash a 100ft tsunami on one of the most densely populated and industrialized coastlines in the world. It could kill and injure close to a million people. It will almost certainly come in the next few decades. Now, the Japanese government is making plans to evacuate millions of people in anticipation of what could be one of the worst natural disasters in history (Warning: source may be paywalled; alternative source). It is known as the Nankai Trough megaquake. The Japanese government has previously estimated that there is a 70 to 80 percent chance that such an event will take place in the next 30 years and that the earthquake, and subsequent tsunami, could kill 323,000 people and injure 623,000. Unfortunately, the report doesn't outline how the government plans to get people out of harm's way. The city with the most people in the danger zone is Nagoya, Japan's fourth largest city and home to 2.3 million people. "The home of the nation's industry Hamamatsu is also at risk and home to over 800,000 people," reports The Irish Sun.