IBM Research and MIT Collaborate to Advance Frontiers of Artificial Intelligence in Real-World Audio-Visual Comprehension Technologies

Beginning in September 2016 in Cambridge, the BM3C collaboration will bring together leading brain, cognitive, and computer scientists to conduct research in the field of unsupervised machine understanding of audio-visual streams of data, using insights from next-generation models of the brain to inform advances in machine vision. The vision is that this integrated cross-disciplinary research will lead to advances that are likely to change both our personal and professional lives - from helping clinicians improve elderly and disabled care to helping organizations maintain and repair complex machinery as well as a host of cross-industry applications. "In a world where humans and machines are working together in increasingly collaborative relationships, breakthroughs in the field of machine vision will potentially help us live healthier more productive lives," said Guru Banavar, Chief Scientist, Cognitive Computing and VP at IBM Research. "By bringing together brain researchers and computer scientists to solve this complex technical challenge, we will advance the state-of-the-art in AI with our collaborators at MIT." The BM3C will be led by Professor James DiCarlo, head of the Department of Brain & Cognitive Sciences (BCS) at MIT, who will be supported by a team of faculty members, researchers, and graduate students from both the Brain & Cognitive Sciences department and the MIT Computer Science and Artificial Intelligence Lab (CSAIL).