It is indeed insulation. The F35 uses fuel as a heat sink for electronics, the insulation is wrapped around a cooling tube that runs through the fuel. The insulation material used is not compatible with the fuel and degrades.
The "A10" is an identifier assigned by ARM, the company that owns the base IP that Apple uses to modify to create their own version of the CPU. So Apple is just using that same identifier for that part of it. I think the "Fusion" part is all Apple.
"3rd, so far so called "artificial intelligence","machine learning", are dumb algorithms." - Sure, but so are the algorithms that we use in our brains for object recognition and speech synthesis etc. If we ignore consciousness for a minute, all of this stuff is just very complex function approximation, whether google does it or your neurons do it.
I know. The professor admits he's not a cryptographer and then criticizes the way NSA forms a random number, which is a critical piece of crypto. Maybe they know something about crypto that he doesn't.
Snowden revealed a few years ago that the NSA was able to decrypt most of encrypted traffic and stated there is a high probability that things like RDRAND are compromised.
Is it possible the NSA knows something about existing pseudo-random number implementations and is purposefully working around that issue in this code? The professor seems to ignore this possibility.
"It just can't be that hard to run an airline site compared to running a web site that peaked at Alexa 100" - You clearly have no idea what you are talking about. Go learn about the complexities of running an airline, the different software required, the number of users and systems supported, etc.
" case insensitive source code is an ongoing source of error in all source code" - how? I've been coding my entire life and I've never run into any issue with case insensitive languages, only case sensitive languages.
"Who was the idiot that thought case insensitivity for tags name was a good idea??" - everyone? reduces human error substantially and is trivially handled by computer.
Poster you responded to doesn't seem to understand how the system works. Everyone, including the people paying cash pay for the credit card users because the 2% to 3% the store pays to CC company gets included in the prices to everyone, even the cash customers. I'm like you, free cash for X days, I pay the whole thing off before I incur interest, lather, rinse, repeat.
I don't think you're being very fair to Amazon, their warehouses have had lots of automation prior to Kiva, conveyor, sorters, put walls, etc. I think the thing you aren't considering is that an Amazon warehouse has many many skus with few picks per sku per day. As you should know, this kind of sparse picking is a challenge to automate cost effectively. Sure they could have put in other goods to man solutions, but they would have spent more than paying humans, Kiva is a better fit for their problem space.
It's true that automation of all sorts has been around a long time, including "goods to man" operations like the one you describe and also the Kiva robots. The difference is that the Kiva robots effectively fit the niche where there are a large number of skus and small number of picks per sku per day.
Column store, highly compressed, highly parallel, optimized for large non-aggregated data set usage, sql extensions to simplify coding/consumption. The idea (and from what I read it sounds like they are succeeding) was to create a very high performance db that allows using large sets of non-aggregated OLTP data in real time thus reducing or eliminating the need for a separate data warehouse.
Ideally users should be able to install and make use of any tool that allows them to achieve their goals without causing problems for the organization. We happen to live in an environment that requires more caution than that due to immature systems (systems that are insecure and have brittle dependencies), but the ideal is not self-entitled, it's efficient and optimal.
Slashdot Mirror
It is indeed insulation. The F35 uses fuel as a heat sink for electronics, the insulation is wrapped around a cooling tube that runs through the fuel. The insulation material used is not compatible with the fuel and degrades.
The real problem with yelp is that it exists.
The "A10" is an identifier assigned by ARM, the company that owns the base IP that Apple uses to modify to create their own version of the CPU. So Apple is just using that same identifier for that part of it. I think the "Fusion" part is all Apple.
The worst is the NBA, they target all of those tall people. Discrimination at it's worst.
"3rd, so far so called "artificial intelligence","machine learning", are dumb algorithms." - Sure, but so are the algorithms that we use in our brains for object recognition and speech synthesis etc. If we ignore consciousness for a minute, all of this stuff is just very complex function approximation, whether google does it or your neurons do it.
I know. The professor admits he's not a cryptographer and then criticizes the way NSA forms a random number, which is a critical piece of crypto. Maybe they know something about crypto that he doesn't.
Snowden revealed a few years ago that the NSA was able to decrypt most of encrypted traffic and stated there is a high probability that things like RDRAND are compromised.
Is it possible the NSA knows something about existing pseudo-random number implementations and is purposefully working around that issue in this code? The professor seems to ignore this possibility.
"It just can't be that hard to run an airline site compared to running a web site that peaked at Alexa 100" - You clearly have no idea what you are talking about. Go learn about the complexities of running an airline, the different software required, the number of users and systems supported, etc.
" case insensitive source code is an ongoing source of error in all source code" - how? I've been coding my entire life and I've never run into any issue with case insensitive languages, only case sensitive languages.
"Who was the idiot that thought case insensitivity for tags name was a good idea??" - everyone? reduces human error substantially and is trivially handled by computer.
Poster you responded to doesn't seem to understand how the system works. Everyone, including the people paying cash pay for the credit card users because the 2% to 3% the store pays to CC company gets included in the prices to everyone, even the cash customers. I'm like you, free cash for X days, I pay the whole thing off before I incur interest, lather, rinse, repeat.
...almost as good as TimeWarner/AOL
I'm going to wear my VR headset while I drive my Segway around looking for Pokemon.
Conveyor is expensive. You're idea would cost multiple orders of magnitude more than the robots.
I don't think you're being very fair to Amazon, their warehouses have had lots of automation prior to Kiva, conveyor, sorters, put walls, etc. I think the thing you aren't considering is that an Amazon warehouse has many many skus with few picks per sku per day. As you should know, this kind of sparse picking is a challenge to automate cost effectively. Sure they could have put in other goods to man solutions, but they would have spent more than paying humans, Kiva is a better fit for their problem space.
It's true that automation of all sorts has been around a long time, including "goods to man" operations like the one you describe and also the Kiva robots. The difference is that the Kiva robots effectively fit the niche where there are a large number of skus and small number of picks per sku per day.
I endorse paiute for the skill of entering a slashdot comment.
13,000 staplers, 250 copiers, 372 coffee makers...
Holy F! that would be damn funny!
SAP=319 million LOC (ABAP, Java, C, C++, etc.)
Possibly a CIA honeypot designed to consume hackers time?
...a new kickstarter to put in the pool and sport court?
Column store, highly compressed, highly parallel, optimized for large non-aggregated data set usage, sql extensions to simplify coding/consumption. The idea (and from what I read it sounds like they are succeeding) was to create a very high performance db that allows using large sets of non-aggregated OLTP data in real time thus reducing or eliminating the need for a separate data warehouse.
Ideally users should be able to install and make use of any tool that allows them to achieve their goals without causing problems for the organization. We happen to live in an environment that requires more caution than that due to immature systems (systems that are insecure and have brittle dependencies), but the ideal is not self-entitled, it's efficient and optimal.