A far-sighted approach to machine learning
New system can teach a group of cooperative or competitive AI agents to find an optimal long-term solution.
Topic
Electrical engineering and computer science (EECS)
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How “2D” materials expand
A new technique that accurately measures how atom-thin materials expand when heated could help engineers develop faster, more powerful electronic devices.
MIT wins world finals of the 45th International Collegiate Programming Contest
Students reflect on their top performance in Dhaka, Bangladesh, which ended a 44-year drought for MIT.
Empowering social media users to assess content helps fight misinformation
An experimental platform that puts moderation in the hands of its users shows that people do evaluate posts effectively and share their assessments with others.
Solving brain dynamics gives rise to flexible machine-learning models
MIT CSAIL researchers solve a differential equation behind the interaction of two neurons through synapses to unlock a new type of speedy and efficient AI algorithm.
Q&A: MIT competitive programmers on going the distance
Students describe what it’s like to compete at the very top tiers of computing.
Three from MIT named 2023 Rhodes Scholars
Jack Cook, Matthew Kearney, and Jupneet Singh will begin postgraduate studies at Oxford University next fall.
Ensuring AI works with the right dose of curiosity
Researchers make headway in solving a longstanding problem of balancing curious “exploration” versus “exploitation” of known pathways in reinforcement learning.
UpNano joins MIT.nano Consortium
Provider of ultra-high resolution 3D printing becomes sustaining member of industry group.
Professor Emeritus Louis Braida, speech and hearing scientist and hearing aid innovator, dies at 79
Valued mentor was known for research in intensity perception, hearing-impairment characterization, and aids for the deaf.
MIT engineers develop a low-cost terahertz camera
The device provides greater sensitivity and speed than previous versions, and could be used for industrial inspection, airport security, and communications.
In machine learning, synthetic data can offer real performance improvements
Models trained on synthetic data can be more accurate than other models in some cases, which could eliminate some privacy, copyright, and ethical concerns from using real data.
Nanosensors target enzymes to monitor and study cancer
By analyzing enzyme activity at the organism, tissue, and cellular scales, new sensors could provide new tools to clinicians and cancer researchers.
Machine learning facilitates “turbulence tracking” in fusion reactors
A new approach sheds light on the behavior of turbulent structures that can affect the energy generated during fusion reactions, with implications for reactor design.
Using sound to model the world
This machine-learning system can simulate how a listener would hear a sound from any point in a room.