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.
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Researchers make headway in solving a longstanding problem of balancing curious “exploration” versus “exploitation” of known pathways in reinforcement learning.
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.
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.
This machine-learning system can simulate how a listener would hear a sound from any point in a room.
MIT alumnus-founded Metrika has developed a suite of analytics tools giving blockchain communities visibility into their networks.
Yilun Du, a PhD student and MIT CSAIL affiliate, discusses the potential applications of generative art beyond the explosion of images that put the web into creative hysterics.
Fourteen faculty members have been granted tenure in five departments across the MIT School of Engineering.
Researchers create a method for magnetically programming materials to make cubes that are very picky about what they connect with, enabling more-scalable self-assembly.
A system for monitoring motion and muscle engagement could aid the elderly and athletes during unsupervised physical rehabilitation for injuries or impaired mobility.
A new study maps the genes and cellular pathways that contribute to exercise-induced weight loss.
Researchers created a system that lets robots effectively use grasped tools with the correct amount of force.
MIT professor to share $3 million prize with three others; Daniel Spielman PhD ’95 wins Breakthrough Prize in Mathematics.
By continuously monitoring a patient’s gait speed, the system can assess the condition’s severity between visits to the doctor’s office.
Throughout his career, Professor Hal Abelson has worked to make information technology more accessible to people of all ages.
Researchers develop a new method that uses multiple models to create more complex images with better understanding.