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.
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.
The advance could cut production costs and reduce the size of microelectronics for sensing and communication.
Animators spend hours adding textures to objects. A new machine-learning system simplifies the process.
Quantum computers could usher in a golden age of computing power, solving problems intractable on today’s machines.
MLK Visiting Scholar focuses on microelectronics for cell analysis and biomedical applications.
Once deemed suitable only for high-speed communication systems, an alloy called InGaAs might one day rival silicon in high-performance computing.
In a new book, “Data Action,” Associate Professor Sarah Williams issues a call for thinking ethically about data today.
MIT Social Impact Interns partner with the Naval War College to develop an educational disaster response game.