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Facebook has in recent months amped up a push to bring in professors from top-notch universities to work on long-term artificial intelligence research part time, but the company says it views universities as partners rather than competitors to poach top talent from. In an interview with reporters, Chief AI Scientist of Facebook AI Research Yann LeCun gave new details about this "dual affiliation" program that lets professors do research for both Facebook and their universities. The program, most recently expanded to the University of Washington, Carnegie Mellon University in Pittsburgh and Oxford University in the U.K., has come under fire for fear of "brain drain" among top research institutions. That is far from the case argues LeCun, who pointed out that Facebook only brings in one or two people from each school so as not to disrupt the work of their departments. "We are careful; we don't hire five people from the same university," LeCun said.

AI is making the headlines these days, from warnings about it being an ingredient to humanity's extinction to praise concerning the new technical possibilities it might bring in the near future. But the current discussion is lacking a realistic view on what AI is and what it is not. Despite this, expectations for the technology are exceptionally high. The reasons for this heightened attention in the public are achievements such as AI beating chess or Go world champions or autonomous cars. This AI breakthrough is a result of the exponential increase in computing power and – even more importantly – data.

Subcommittee on Research and Technology and Subcommittee on Energy Hearing - Artificial Intelligence - June 26th, 2018 Dr. Tim Persons, chief scientist, GAO Mr. Greg Brockman, co-founder and chief technology officer, OpenAI Dr. Fei-Fei Li, chairperson of the board and co-founder, AI4ALL OpenAI was founded by Elon Musk and Sam Altman

Assuming it's the same stuff that they did similar things with a couple years ago, the technology they use is seriously cool and they gloss over it in this write-up. I've read probably every paper they've made public about the tech and they can estimate poses (as written here), track the position of multiple people around a room/building, and even read heart rate of a single person. This technology, matched with already-created ML algorithms (like they're finally starting to do here), could change everything from targeted advertising to how SWAT enters a building. Fortunately or unfortunately, they are focusing on elder care so far.

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Ok, I can give you some answers based on my experiences as software engineer (over 10 years). I deal also a lot with open-source and I'm the author of dozens of open-source libraries with thousands of stars and millions of installations as well, so I know both sides (author and user) in both private and commercial applications pretty well. Also, many people ask me the question why we use at aetros.com Let's define some properties that define whether a library X is good or not: Let me explain in detail each point. When you use libraries, no matter if open-source or commercial, and you want to continue to develop an application using that library, it's very important that there are no hidden changes and your application doesn't break when you update the library (to get wanted features or bugfixes).

Ok, I can give you some answers based on my experiences as software engineer (over 10 years). I deal also a lot with open-source and I'm the author of dozens of open-source libraries with thousands of stars and millions of installations as well, so I know both sides (author and user) in both private and commercial applications pretty well. Also, many people ask me the question why we use at aetros.com Let's define some properties that define whether a library X is good or not: Let me explain in detail each point. When you use libraries, no matter if open-source or commercial, and you want to continue to develop an application using that library, it's very important that there are no hidden changes and your application doesn't break when you update the library (to get wanted features or bugfixes).

The events of the past few weeks have provided much fodder to this columnist. First, there was the American grandstanding on immigration, and then the events at Cognizant Technology Solutions Corp., Infosys Ltd and Tata Consultancy Services Ltd. More recently, Cloudflare Inc., which hosts information for close to two million websites, including Uber Technologies Inc. and OKCupid, had an Internet security disaster that saw the leak of passwords, cookies, and private messages from adult dating sites. This "Cloudbleed" was discovered on 17 February, 2017, but has evidently been around for many months. Decisions, decisions--what does one chew on first?

During the AI boom of the 1980s, the field also enjoyed a great deal of hype and rapid investment. Rather than considering the value of individual startups' ideas, investors were looking for interesting technologies to fund. This is why most of the first generation of AI companies have already disappeared. Companies like Symbolics, Intellicorp, and Gensym -- AI companies founded in the '80s -- have all transformed or gone defunct. And here we are again, nearly 40 years later, facing the same issues.

Tech giant Microsoft plans to build artificial intelligence into all of its applications, a report in Indo-Asian News Service said. Addressing partners at an event'Microsoft Inspire', chief executive Satya Nadella said that the firm will infuse everything with AI, which will have perception and language capabilities built into applications, the report said. He also said that Microsoft's Azure Cloud services will go beyond the data centre. "We are going to take Azure to Azure Stack, to Azure IoT Edge and to Azure Sphere. This is a ubiquitous, distributed computing fabric," IANS quoted Nadella as saying.