Exact symbolic artificial intelligence for faster, better assessment of AI fairness
Probabilistic programming language allows for fast, error-free answers to hard AI problems, including fairness.
A new approach to preventing human-induced earthquakes
Applied in the field, a new model reduced quakes from oil and gas processes; could help manage seismic events from carbon sequestration.
Waging a two-pronged campaign against climate change
With MIGHTR, PhD student W. Robb Stewart aims to speed construction of new nuclear plants to help decarbonize the economy.
The power of two
Graduate student Ellen Zhong helped biologists and mathematicians reach across departmental lines to address a longstanding problem in electron microscopy.
Creating “digital twins” at scale
Model could help predictive virtual models become standard practice in engineering.
Using computational tools for molecule discovery
Assistant professor Connor Coley is developing tools that would be able to predict molecular behavior and learn from both successes and mistakes.
Accelerating AI at the speed of light
Yichen Shen PhD '16 is CEO of Lightelligence, an MIT spinout using photonics to reinvent computing for artificial intelligence.
Ozone-depleting chemicals may spend less time in the atmosphere than previously thought
New results point to unexpected, illegal production of several CFCs in recent years.
Seeking enhanced materials for nuclear reactors
Fifth-year nuclear science and engineering graduate student Arunkumar Seshadri looks to develop materials and fuels that can better withstand the extreme conditions in nuclear reactors.
A better nasal swab for Covid-19 testing
MIT spinout OPT Industries uses novel additive manufacturing systems to create intricately-designed products.
Faster drug discovery through machine learning
New technique speeds up calculations of drug molecules’ binding affinity to proteins.
Mark Vogelsberger wins 2020 Buchalter Cosmology Prize for simulating a “fuzzy” universe
Associate professor of physics shares the honor with colleague Phillip Mocz for their novel dark matter research.
Rock magnetism uncrumples the Himalayas’ complex collision zone
MIT EAPS researchers find the impressive mountain range formed over a series of impacts, not a single event, as previously thought.
Automating material-matching for movies and video games
Animators spend hours adding textures to objects. A new machine-learning system simplifies the process.
Center to advance predictive simulation research established at MIT Schwarzman College of Computing
MIT is among nine universities selected as part of a program sponsored by the DoE to support science-based modeling and simulation and exascale computing technologies.