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Toyota to collaborate with MIT and Stanford

By Niranjan Mudholkar,

Added 07 September 2015

To accelerate Artificial Intelligence research.

Kiyotaka Ise speaking at the conference.

Dr. Gill Pratt said, "This bold collaboration will address extremely complex mobility challenges using ground breaking artificial intelligence research. I'm thrilled to be a part of the synergies and talent-sharing of Toyota, MIT, and Stanford.

"Key program areas will be addressed by the two university campuses and Toyota, with combined research targeted at improving the ability of intelligent vehicle technologies to recognize objects around the vehicle in diverse environments, provide elevated judgment of surrounding conditions, and safely collaborate with vehicle occupants, other vehicles, and pedestrians. The joint research will also look at applications of the same technology to human-interactive robotics and information service."

Research at MIT will be led by Professor Daniela Rus, Andrew (1956) and Erna Viterbi Professor of Electrical Engineering and Computer Science and Director of the Institute's Computer Science and Artificial Intelligence Laboratory (CSAIL). "Our team will collaborate with Stanford and Toyota to develop advanced architectures that allow cars to better perceive and navigate their surroundings in order to make safe driving decisions," said Professor Rus.

"These efforts will play a major role in helping reduce traffic casualties, and potentially even helping us develop a vehicle incapable of getting into a collision."

Led by Professor Fei-Fei Li, Director of the Stanford Artificial Intelligence Laboratory (SAIL), the Stanford-based research center will collaborate with MIT and Toyota to develop advanced intelligent systems to recognize, understand and act in complex traffic environments.

"Building on Stanford's expertise with computer vision, machine learning, large-scale data analysis and human-computer interaction, our team will work to help intelligent vehicles recognize objects in the road, predict behaviors of things and people, and make safe and smart driving decisions under diverse conditions," said Professor Li.
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