James DiCarlo named director of the MIT Quest for Intelligence
Brain and cognitive sciences professor will lead the Institute’s interdisciplinary initiative to advance research in natural and artificial intelligence.
Brain and cognitive sciences professor will lead the Institute’s interdisciplinary initiative to advance research in natural and artificial intelligence.
Using this computational system, researchers can identify viral protein sequences that could make better vaccine targets.
EECS faculty head of artificial intelligence and decision making honored for significant and extended contributions to the field of AI.
Facility within MIT.nano offers equipment and capabilities for visualizing data, creating immersive environments.
Three MIT professors and a principal staff member from Lincoln Laboratory are among the 2021 class of fellows.
MIT mechanical engineers have developed technologies to help hospitals around the world provide life-saving oxygen to patients with Covid-19 and other respiratory illnesses.
SWE members develop innovative and creative ways to maintain programming during the pandemic.
In a year full of challenges, top Institute stories dealt with resilience, innovation, and MIT’s drive to embody its longstanding values in a changing world.
A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference.
Researchers show that deep reinforcement learning can be used to design more efficient nuclear reactors.
A new deep-learning algorithm could provide advanced notice when systems — from satellites to data centers — are falling out of whack.
Neuroscientists find that interpreting code activates a general-purpose brain network, but not language-processing centers.
A new web-friendly modeling tool helps organizations build tailored Covid-19 testing strategies that can save money and reduce coronavirus spread.
A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning.
Undergraduate in electrical engineering and computer science contributes to startling new astronomy research.