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IBM invested $ 240 million for MIT Watson Artificial Intelligence Labs

via:博客园     time:2017/9/8 1:00:58     readed:1024


On the afternoon of September 7, IBM said it would spend $ 240 million over the next decade to fund the MIT's new artificial intelligence (AI) research lab.

As a result of this collaboration, MIT-IBM Artificial Intelligence Labs will focus on a few key areas of AI, including the development of new "depth learning" algorithms. Depth learning is a branch of artificial intelligence, the purpose is to human learning ability to the computer, so that it can operate more autonomously.

The lab will be based in Cambridge, Massachusetts, co-chaired by IBM's vice president of research, Dario Gil, and dean Anetha Chandrakasan, president of the MIT Institute of Engineering, IBM and MIT University have about 100 researchers.

Some of the researchers may work on MIT's related teams, including computer science and artificial intelligence laboratories (CSAIL), media labs, brain and cognitive science laboratories, as well as data systems and societies. Research institutes, they need cross-border operations. When asked if the researchers had to use IBM technology in their work, he said the latter could choose the most appropriate technology on demand.

Although previously funded companies funded MIT research, such as Toyota sponsored CSAIL internal automatic car project, but by a company contracted the hospital's entire laboratory is the first time.

IBM has been outside the publicity Watson robot, which in 2011 beat two human champion. As an important priority for IBM, it has been supporting the development of some robotic technologies. Watson has worked extensively with the Cancer Institute for Drug Research, for example with Cornell University for food safety research. Watson and Rensselaer Polytechnic Institute and the University of Michigan cooperation project is also in progress.

However, IBM faces many challenges in applying artificial intelligence to real-world competition. Google, Microsoft, Amazon and other companies are investing resources to make their software more intelligent, more able to adapt to changes in demand.

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