AI that can learn the patterns of human language
On its own, a new machine-learning model discovers linguistic rules that often match up with those created by human experts.
On its own, a new machine-learning model discovers linguistic rules that often match up with those created by human experts.
Lincoln Laboratory Supercomputing Center dataset aims to accelerate AI research into managing and optimizing high-performance computing systems.
Mathematical modeling speeds up the process of programming bacterial systems to self-assemble into desired 2D shapes.
The Jameel Index for Food Trade and Vulnerability — a project supported by Community Jameel — will study the implications of climate change on food security as they relate to trade.
A new general-purpose optimizer can speed up the design of walking robots, self-driving vehicles, and other autonomous systems.
A new computational model could explain differences in recognizing facial emotions.
Pinpointing risks can also help businesses save money as they become more resilient.
Jonathan Weissman and collaborators used their single-cell sequencing tool Perturb-seq on every expressed gene in the human genome, linking each to its job in the cell.
MIT research highlights the opportunity to rethink global air quality guidelines.
By studying the dynamics of plasma turbulence, MIT researchers are helping to solve one of the mysteries of the origins of cosmological magnetic fields.
The grants total over $1 million in support of research that addresses issues in the water and food sectors.
MIT cell biologist and computational neuroscientist recognized for their innovative research contributions.
New understanding of metal electrolysis could help optimize production of metals like lithium and iron.
Have a question about numerical differential equations? Odds are this CSAIL research affiliate has already addressed it.
Study finds activating a Clean Air Act provision could deliver major climate, health, and economic benefits.