Back in the 1990's, the US government had a problem. They wanted to monitor the internet (email, IRC, Usenet, web servers, credit ratings, loan companies, mortgage companies, bank accounts) and build up databases, but that wouldn't be tolerated by the public to have the government have a database with so much information about them. So the solution was to have private companies do the work, and use data mining and advertising revenue as a source of income to help pay for these systems. The US government would then become another private customer. Then when social media came along, the hardest part was to create content and keep it fresh. This becomes harder the more users you have. But if you have your users do this for you, then that problem is solved as well. Plus the additional benefit is that it is all digitized and cross referenced. They even get users to do the sorting for them with websites like PInterest.
Doctors were printing out duplicate copies of a life size replica model of a human liver with the blood vessels and the cancer tumor(s). The doctor could then try as many times as he wanted, to practice dissecting the liver to remove the tumor while causing the least amount of damage or in the least number of slices (almost like a Flash game).
There was always that twist. " A small talent for war" where the UN on Earth is advised that they must change their ways or face annihilation by aliens. But it was that Earth had to become more warlike rather than peaceful. Other times, all they needed to do is add one new device like a live-saving cocoon suit that would prevent a person from dying - the catch was that it didn't guarantee good health afterwards. Or the classic episode where someone is given a button to press with no explanation for what it does.
There was a style of lighting and set design in that time where everything seemed to be filmed at sunset and consisted of marbled floors, walls and geometric shapes.
Those are the areas that I know are in demand. I've seen job adverts for salaries going up to $500K, but only for someone from a leading university, with publications and wanting to run a research department.
UK university principals and vice-principals earn megabucks just like drug cartels (around £260,000/year). Prime minister earns around £150K Starting salaries for higher education (HE) lecturers range from around £33,943 to £41,709. At senior lecturer level, you'll typically earn between £41,709 and £55,998. Head of department earns £70K Stipends for a PhD are around £14K/year. TA duties are £5/hour. It was more cost effective Amazon Turking since the minute you do part-time work, you are liable for council tax.
You did the right thing. I was working at a company when their two architects left for a Silicon Valley company and the board of drectors decided not to promote anyone any further. Everyone on our team found themselves room 101'ed (Neither fired nor given work to do) and beamed themselves abroad. Tried applying to local companies, but they weren't interested, since I didn't have the exact platform experience they were looking for (UNIX vs. Solaris/Windows). I decided to do a MSc, It let me learn C++, STL, UNIX, Visual Studio and gave me a lifeboat for a year. But, after a year, all the local companies weren't interested because I had been out of industry for a year. All of the course materials was exactly the same for their Honours year students.
There are several kinds of MSc (MSc by study, MSc by pure research and MSc by industrial sponsorship). MSc by pure research involves spending six months doing research and six months writing up. MSc by industrial sponsorship involves working on a problem at a company for six months then writing up. These were a bit risky at the time. One student got industrial sponsorship for his MSc, but hit a brick wall when the university and company squabbled over where he would do his thesis. University wanted on their campus. Company wanted him in their offices. He ended up having to drop out. Neither party got the money. If you have done a Computer Science degree, then you are better off doing a MSc in something different like Mathematics/Physics at university that has a large research department in that field.
The AI courses back then, were all about expert systems with flow chart decision making, fuzzy logic, temporal logic, deductive systems. There were case studies made with simulations of chemical plants and having the AI look for optimizations (waste products from one process that would normally be released into the air could be compressed, stored and piped to another process. Maybe an inert gas could be reused to de-oxygenize a mixing chamber or a hot gas used to preheat another pipe. Automatically generating the university timetable for courses was another memory intensive algorithm.
AI is the special case. It grew from machine vision for self driving cars and robotics, to Big Data data mining (pharmaceuticals, financial derivatives, astronomy and medical), natural language processing of news feeds, to image processing for film and gaming.
In 1994, Nasdaq shut down for more than half an hour after a squirrel chewed through a power line. The outage was particularly memorable since it was the third in just a few weeks. The other problems resulted from new software and from a faulty disk drive.
It was the second time a squirrel had caused problems for the exchange. The first incident was in 1987.
Good example is speed-of-light trading. These systems are so fast that they don't appear as anything other than random noise to those outside and home traders. The idea is to catch a stock price when it is rising due to a purchase, so that they buy it when it is low, and then sell it on when the price has risen. They pocket the difference. Every nano-second they place put options on share prices. If they fall, that order is canceled. If the share price rises, they keep it. And they do this for hundreds of thousands of shares. They've built up all sorts of AI algorithms to try and guess whether the price is going to rise or fall. Then they can prioritize which shares to buy and sell. These algorithms can also be applied to Bitcoins and cryptocurrency.
I've seen BYTE magazines that were scanned into PDF's. One 400 page magazine was only 80 Megabytes.
But it's the time to do the scanning that's the problem. There are flat-bed scanners that can automatically cycle through a stack of loose leaf pages. The cost in time is 10 seconds/page. But books and bound documents are far harder, they may not be able to be folded flat, so the scanner has to take the best picture it can and then use software to automatically compensate for curvature and misalignment of the two pages.
They might have had information things on things which hadn't been patented. Ideas for future projects that were never implemented. Yes, they should have scanned in all those documents, and put the backup hard disk drives in a fire safe. But it wasn't justified on cost probably. Not the first time that an research institution has lost original work:
How big is the area? 400 x 700 square miles. How big is the aircraft in miles (73 meters x 4 meters = 0.043 miles x 0.0024 miles). Simplifying the shape of the aircraft to a box 73 meters x 73 meters, and assuming that these are aligned in a regular grid, then there are 100,000,000 possible grid squares. Submersible sonar systems can scan up to 10,000 meters, but they trade resolution for depth. but there are very few of them.
I do wonder whether weather satellites over the Indian ocean would have picked up a contrail from the aircraft. Researchers were able to measure the difference in cloud cover on Earth during 9/11, when all the flights were grounded. Systems like Meteosat or Russia's Elektro-L.
And if you are clever. you can put it in a holding company and just have people become directors or retire. Some US Banks were doing this with land titles. Rather than paying cities to register changing deeds of ownership (requiring a $60 fee per property), they would simply register their property management agency as the owner of every property, continue to collect the mortgage payments, repossessing where necessary, and make the profits. They ended up being sued for hundreds of millions of dollars for cheating taxpayers.
You can do quicker than that. Get a GPS spoofer app. Change your location to central Mongolia, Afghanistan, Siberia or the North/South pole. Now wait for the targeted advertising messages.
They don't need to. It was known that ISP's themselves were doing deep packet inspection for advertising revenue purposes. There was a company in the UK called Phorm that was doing exactly this. They would sign a deal with ISP's. One of their little black boxes would be placed at the ISP's gateway to the rest of the Internet. This little black box would sift through internet traffic for keywords and other such things to present targeted advertising. They essentially looked through keywords of your Emails, web pages, blogs, forums and build up a profile associated with that IP address at that time. Then advertisers could subscribe to their service and whenever a match between the profile and the advertiser happened, a targeted advert would be displayed. Any other time it would be a random or blank advert. This would now be extended through to voice analysis by cloud computer systems. Any guesses who that has that kind of computing power these days?
By that description you should set yourself up as a consultant/contractor. Set up your webpage wiith programming blog (even if it reminiscing about past projects), get a business company name/tax accountant and wait for businesses to contact you (while you are still searching).
There's always demand for hardware engineers. Scandinavian countries like Norway don't discriminate by age.
Ah, but do you have experience writing an application based on CNN running on NVidia DGX-1 while working at a research lab working with supercomputing where you were mentored by a leading expert in the field. If not, you're not qualified.
Slashdot Mirror
Back in the 1990's, the US government had a problem. They wanted to monitor the internet (email, IRC, Usenet, web servers, credit ratings, loan companies, mortgage companies, bank accounts) and build up databases, but that wouldn't be tolerated by the public to have the government have a database with so much information about them. So the solution was to have private companies do the work, and use data mining and advertising revenue as a source of income to help pay for these systems. The US government would then become another private customer. Then when social media came along, the hardest part was to create content and keep it fresh. This becomes harder the more users you have. But if you have your users do this for you, then that problem is solved as well. Plus the additional benefit is that it is all digitized and cross referenced. They even get users to do the sorting for them with websites like PInterest.
Doctors were printing out duplicate copies of a life size replica model of a human liver with the blood vessels and the cancer tumor(s). The doctor could then try as many times as he wanted, to practice dissecting the liver to remove the tumor while causing the least amount of damage or in the least number of slices (almost like a Flash game).
Is that PPP or are you still using SLIP?
That gives a good clue:
https://ourcodeworld.com/artic...
The Twilight Zone part would be the show was filmed live 59-years into the future.
There was always that twist. " A small talent for war" where the UN on Earth is advised that they must change their ways or face annihilation by aliens. But it was that Earth had to become more warlike rather than peaceful. Other times, all they needed to do is add one new device like a live-saving cocoon suit that would prevent a person from dying - the catch was that it didn't guarantee good health afterwards. Or the classic episode where someone is given a button to press with no explanation for what it does.
There was a style of lighting and set design in that time where everything seemed to be filmed at sunset and consisted of marbled floors, walls and geometric shapes.
Those are the areas that I know are in demand. I've seen job adverts for salaries going up to $500K, but only for someone from a leading university, with publications and wanting to run a research department.
UK university principals and vice-principals earn megabucks just like drug cartels (around £260,000/year). Prime minister earns around £150K
Starting salaries for higher education (HE) lecturers range from around £33,943 to £41,709.
At senior lecturer level, you'll typically earn between £41,709 and £55,998. Head of department earns £70K
Stipends for a PhD are around £14K/year. TA duties are £5/hour. It was more cost effective Amazon Turking since the minute you do part-time work, you are liable for council tax.
http://www.bbc.co.uk/news/educ...
http://blogs.lse.ac.uk/impacto...
Plumbers earn up to £50/hour or £100K/year.
http://www.telegraph.co.uk/new...
You did the right thing. I was working at a company when their two architects left for a Silicon Valley company and the board of drectors decided not to promote anyone any further. Everyone on our team found themselves room 101'ed (Neither fired nor given work to do) and beamed themselves abroad. Tried applying to local companies, but they weren't interested, since I didn't have the exact platform experience they were looking for (UNIX vs. Solaris/Windows). I decided to do a MSc, It let me learn C++, STL, UNIX, Visual Studio and gave me a lifeboat for a year. But, after a year, all the local companies weren't interested because I had been out of industry for a year. All of the course materials was exactly the same for their Honours year students.
There are several kinds of MSc (MSc by study, MSc by pure research and MSc by industrial sponsorship). MSc by pure research involves spending six months doing research and six months writing up. MSc by industrial sponsorship involves working on a problem at a company for six months then writing up. These were a bit risky at the time. One student got industrial sponsorship for his MSc, but hit a brick wall when the university and company squabbled over where he would do his thesis. University wanted on their campus. Company wanted him in their offices. He ended up having to drop out. Neither party got the money. If you have done a Computer Science degree, then you are better off doing a MSc in something different like Mathematics/Physics at university that has a large research department in that field.
The AI courses back then, were all about expert systems with flow chart decision making, fuzzy logic, temporal logic, deductive systems. There were case studies made with simulations of chemical plants and having the AI look for optimizations (waste products from one process that would normally be released into the air could be compressed, stored and piped to another process. Maybe an inert gas could be reused to de-oxygenize a mixing chamber or a hot gas used to preheat another pipe. Automatically generating the university timetable for courses was another memory intensive algorithm.
AI is the special case. It grew from machine vision for self driving cars and robotics, to Big Data data mining (pharmaceuticals, financial derivatives, astronomy and medical), natural language processing of news feeds, to image processing for film and gaming.
The biggest danger to the stock market would seem to be squirrels..
https://www.washingtonpost.com...
In 1994, Nasdaq shut down for more than half an hour after a squirrel chewed through a power line. The outage was particularly memorable since it was the third in just a few weeks. The other problems resulted from new software and from a faulty disk drive.
It was the second time a squirrel had caused problems for the exchange. The first incident was in 1987.
Good example is speed-of-light trading. These systems are so fast that they don't appear as anything other than random noise to those outside and home traders. The idea is to catch a stock price when it is rising due to a purchase, so that they buy it when it is low, and then sell it on when the price has risen. They pocket the difference. Every nano-second they place put options on share prices. If they fall, that order is canceled. If the share price rises, they keep it. And they do this for hundreds of thousands of shares. They've built up all sorts of AI algorithms to try and guess whether the price is going to rise or fall. Then they can prioritize which shares to buy and sell. These algorithms can also be applied to Bitcoins and cryptocurrency.
I've seen BYTE magazines that were scanned into PDF's. One 400 page magazine was only 80 Megabytes.
But it's the time to do the scanning that's the problem. There are flat-bed scanners that can automatically cycle through a stack of loose leaf pages. The cost in time is 10 seconds/page. But books and bound documents are far harder, they may not be able to be folded flat, so the scanner has to take the best picture it can and then use software to automatically compensate for curvature and misalignment of the two pages.
They might have had information things on things which hadn't been patented. Ideas for future projects that were never implemented. Yes, they should have scanned in all those documents, and put the backup hard disk drives in a fire safe. But it wasn't justified on cost probably. Not the first time that an research institution has lost original work:
https://www.theregister.co.uk/...
https://www.theguardian.com/uk...
How big is the area? 400 x 700 square miles. How big is the aircraft in miles (73 meters x 4 meters = 0.043 miles x 0.0024 miles). Simplifying the shape of the aircraft to a box 73 meters x 73 meters, and assuming that these are aligned in a regular grid, then there are 100,000,000 possible grid squares. Submersible sonar systems can scan up to 10,000 meters, but they trade resolution for depth. but there are very few of them.
I do wonder whether weather satellites over the Indian ocean would have picked up a contrail from the aircraft. Researchers were able to measure the difference in cloud cover on Earth during 9/11, when all the flights were grounded. Systems like Meteosat or Russia's Elektro-L.
And if you are clever. you can put it in a holding company and just have people become directors or retire. Some US Banks were doing this with land titles. Rather than paying cities to register changing deeds of ownership (requiring a $60 fee per property), they would simply register their property management agency as the owner of every property, continue to collect the mortgage payments, repossessing where necessary, and make the profits. They ended up being sued for hundreds of millions of dollars for cheating taxpayers.
https://arstechnica.com/tech-p...
Did you look up their phone number. Do you have their phone number in your contacts?
You can do quicker than that. Get a GPS spoofer app. Change your location to central Mongolia, Afghanistan, Siberia or the North/South pole. Now wait for the targeted advertising messages.
They don't need to. It was known that ISP's themselves were doing deep packet inspection for advertising revenue purposes. There was a company in the UK called Phorm that was doing exactly this. They would sign a deal with ISP's. One of their little black boxes would be placed at the ISP's gateway to the rest of the Internet. This little black box would sift through internet traffic for keywords and other such things to present targeted advertising. They essentially looked through keywords of your Emails, web pages, blogs, forums and build up a profile associated with that IP address at that time. Then advertisers could subscribe to their service and whenever a match between the profile and the advertiser happened, a targeted advert would be displayed. Any other time it would be a random or blank advert. This would now be extended through to voice analysis by cloud computer systems. Any guesses who that has that kind of computing power these days?
http://www.telegraph.co.uk/tec...
Then universities would become just like startups. There wouldn't be anyone over 30 there, except for administration.
But you have to dangle your GPU's out in a rack rather than being in a single case.
By that description you should set yourself up as a consultant/contractor. Set up your webpage wiith programming blog (even if it reminiscing about past projects), get a business company name/tax accountant and wait for businesses to contact you (while you are still searching).
There's always demand for hardware engineers. Scandinavian countries like Norway don't discriminate by age.
Ah, but do you have experience writing an application based on CNN running on NVidia DGX-1 while working at a research lab working with supercomputing where you were mentored by a leading expert in the field. If not, you're not qualified.