Project to elucidate the structure of atomic nuclei at the femtoscale
Laboratory for Nuclear Science project selected to explore machine learning for lattice quantum chromodynamics.
Automating molecule design to speed up drug development
Machine-learning model could help chemists make molecules with higher potencies, much more quickly.
Method man
Alberto Abadie refines the tools of economics — and gets some interesting results along the way.
MIT engineers build smart power outlet
Design can “learn” to identify plugged-in appliances, distinguish dangerous electrical spikes from benign ones.
MITx MicroMasters Program in Statistics and Data Science opens enrollment
Program offers path to an accelerated master’s degree at seven universities.
Decoding RNA-protein interactions
Scientists leverage one step, unbiased method to characterize the binding preferences of more than 70 human RNA-binding proteins.
MIT faculty approves new urban science major
Interdisciplinary undergraduate program combines urban planning and computer science.
Keeping data fresh for wireless networks
Algorithm provides networks with the most current information available while avoiding data congestion.
Device allows a personal computer to process huge graphs
With novel system, data scientists can analyze massive networks without the need for power-hungry servers.
Applying machine learning to challenges in the pharmaceutical industry
MIT researchers and industry form new consortium to aid the drug discovery process.
Celebrating 21st century statistics
MIT Statistics and Data Science Conference highlights new approaches and varied applications.
Prize-winning projects promote healthier eating, smarter crop investments
Meal kits for “food deserts” and crowdsourced crop-pricing platform win Rabobank-MIT Food and Agribusiness Innovation Prize.
Computation counts
Students are flocking to 6.00 (Introduction to Computer Science and Programming Using Python), where they learn not just coding but computational thinking.
Empowering refugees worldwide by providing tools for social change
New collaboration joins together MITx MicroMasters, Abdul Latif Jameel Poverty Action Lab, and MIT Refugee Action Hub.
Building AI systems that make fair decisions
Harini Suresh, a PhD student at MIT CSAIL, studies how to make machine learning algorithms more understandable and less biased.