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Scientists from MIT and IBM Research made a computer vision model more robust by training it to work like a part of the brain that humans and other primates rely on for object recognition.
New research from MIT automates the math for trading off risk and reward, in domains ranging from artificial intelligence to climate to finance, fixing errors made by deep learning systems.
A simulation environment known as PlasticineLab builds in knowledge of the physical world to make robot learning more intuitive.
Credits: Photos: Samantha Smiley Next image The field of artificial intelligence is moving at a staggering clip, with breakthroughs emerging in labs across MIT. Through the Undergraduate Research Opportunities Program (UROP), undergraduates get to join in. In two years, the MIT Quest for Intelligence has placed 329 students in research projects aimed at pushing the frontiers of computing and artificial intelligence, and using these tools to revolutionize how we study the brain, diagnose and treat disease, and search for new materials with mind-boggling proper...
Credits: Photo: Justin Knight Next image James DiCarlo, the Peter de Florez Professor of Neuroscience, has been appointed to the role of director of the MIT Quest for Intelligence. MIT Quest was launched in 2018 to discover the basis of natural intelligence, create new foundations for machine intelligence, and deliver new tools and technologies for humanity. As director, DiCarlo will forge new collaborations with researchers within MIT and beyond to accelerate progress in understanding intelligence and developing the next generation of intelligence tools. â€...