IBM Ponies Up $240 Million For Watson Artificial Intelligence Lab at MIT

IBM announced Thursday that it would invest $ 240 million over the next decade to fund the Massachusetts Institute of Technology's New Artificial Intelligence Laboratory.

The resulting MIT-IBM Watson AI Lab focuses on several important AI areas, such as developing a new "deep learning" algorithm. Deep learning is a subset of artificial intelligence designed to bring similar human learning to computers and to enable them to function more autonomously.

The laboratory of Cambridge, Massachusetts is led by Dario Gil, Vice President of Artificial Intelligence at IBM Research, and Anantha Chandrakasan, Dean of the Massachusetts Institute of Technology. It will attract about 100 researchers from IBM (ibm) himself and the university.

Chandrakasan may be from an existing MIT group such as Computer Science and Artificial Intelligence Laboratory (CSAIL), Media Lab, Brain and Cognitive Science Lab, and Data System and Society among researchers. I said nothing. The laboratory will exchange. When researchers were asked whether IBM technology should be used for their work, he said they can choose the most appropriate technology for their needs.

At Massachusetts Institute of Technology, research with other corporate funds, such as sponsorship of autonomous vehicles at CSAIL, was conducted, but this is the first time that the company covered the entire laboratory of the university.

For the first time in 2011 IBM for the first time broke the two champions at Jeopardy, it became an important priority for the company and is selling Watson to support many projects using this technology. It works in collaboration with Broad Research Institute in the study of anticancer drugs and cooperates with Cornell University in research on food safety. Rensselaer Polytechnic Institute and other Watson jobs at the University of Michigan

However, IBM faces many challenges in competition, and it uses artificial intelligence for practical work. Google (Google), Microsoft (msft), Amazon (amzn) and other companies are investing resources to make their software smarter and adapt better to changing needs

Finally, IBM and Massachusetts Institute of Technology announced a new MIT-IBM Watson AI Lab. It promised $ 240 million in funding for 10 years. Considering that IBM took over all of Watson's flaws over the past few years (actually in the past few months), using MIT might be a very prudent idea. In terms of thinking beyond the boundaries of Watson, some fresh blood may be better for IBM, and focusing on creating a company that commercializes research is a strategic M & A advantage for IBM You can help get it. Over the years such partnerships have achieved good results at the University of California at Berkeley (eg using AMPLab and now RISELab), but they are not tied to a particular company. If you do this, IBM may look very nice. Otherwise, the increase in IBM critic's list will not be surprising.

In the next decade, IBM plans to work closely with the Massachusetts Institute of Technology through the new MIT-IBM Watson AI Lab. The $ 240 million project will be the largest artificial intelligence partner in university and industry. This research conducted by students and industry scientists will broaden the boundaries of machine learning in areas such as medical technology and cyber security.

IBM is always finding more use for Watson. As with Salesforce Einstein, IBM Watson can be thought of as an Artificial Intelligence (AI) and Machine Learning (ML) tier that fits into a variety of applications. IBM has applied IBM Watson's deep learning, natural language processing, and predictive analysis to every field from business intelligence (BI) to cancer research. IBM MaaS 360 in conjunction with Watson brings this intelligence to enterprise IT. Vendors in the MDM field seem to be using annotated technologies each year with new acronyms. It is called with various names such as MDM, Mobile Application Management (MAM), Enterprise Mobility Management (EMM), and now UEM. But the core idea is that IT manages the devices and endpoints connected to all the services in the organization and segments and protects all the applications and data on those devices and endpoints It helps.