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.
Model analyzes how viruses escape the immune system
Using this computational system, researchers can identify viral protein sequences that could make better vaccine targets.
Professor Antonio Torralba elected 2021 AAAI Fellow
EECS faculty head of artificial intelligence and decision making honored for significant and extended contributions to the field of AI.
MIT.nano’s Immersion Lab opens for researchers and students
Facility within MIT.nano offers equipment and capabilities for visualizing data, creating immersive environments.
Four from MIT are named IEEE Fellows for 2021
Three MIT professors and a principal staff member from Lincoln Laboratory are among the 2021 class of fellows.
Delivering life-saving oxygen during a pandemic
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.
MIT Society of Women Engineers’ journey into virtual connection
SWE members develop innovative and creative ways to maintain programming during the pandemic.
MIT community in 2020: A year in review
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.
Making smart thermostats more efficient
A smart thermostat quickly learns to optimize building microclimates for both energy consumption and user preference.
Want cheaper nuclear energy? Turn the design process into a game
Researchers show that deep reinforcement learning can be used to design more efficient nuclear reactors.
Method finds hidden warning signals in measurements collected over time
A new deep-learning algorithm could provide advanced notice when systems — from satellites to data centers — are falling out of whack.
To the brain, reading computer code is not the same as reading language
Neuroscientists find that interpreting code activates a general-purpose brain network, but not language-processing centers.
Making data-informed Covid-19 testing plans
A new web-friendly modeling tool helps organizations build tailored Covid-19 testing strategies that can save money and reduce coronavirus spread.
Building machines that better understand human goals
A new algorithm capable of inferring goals and plans could help machines better adapt to the imperfect nature of human planning.
Q&A: Holly Jackson on building a cosmic family tree
Undergraduate in electrical engineering and computer science contributes to startling new astronomy research.