Giving AI a “crystal clear” view of the materials world
New research can help AI models understand crystalline materials in 3D and reason about their properties.
New research can help AI models understand crystalline materials in 3D and reason about their properties.
The 18th annual Kendall Square Association Annual Meeting explored how new technologies could be a force for shared prosperity in society.
MIT's Center for Transportation and Logistics finds sustainability commitments are strong, but governance gaps and external disruptions prevent execution.
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
In a new book, Professor Eric So explores how the technology affects our thinking skills.
A new machine-learning approach broke records for weather forecasting for an important time frame in emergency planning.
Machine-learning networks can learn without detailed instructions from a designer. Those that do may offer insight into how the brain reorganizes itself during learning.
Roadshow event highlights Massachusetts' defense-biotechnology ecosystem.
Professor Deb Roy contends there should be someone who is “answerable” for every piece of text in public life, no matter its origins.
MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.
By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.
Students in MIT’s Concourse program delve deeply into the human condition, debate challenging questions, and learn to develop judgment about issues that can’t be quantified.
An ongoing survey tracks the latest AI accelerator systems to keep hardware relevant for Lincoln Laboratory staff and sponsors.
As director, Bourg has focused on digital access, open and equitable scholarly publishing, and expanded support for data-intensive research.
The effort aims to help U.S. learners from kindergarten to community college, with an emphasis on math, making, and the constructive use of AI.