How generative AI can help scientists synthesize complex materials
MIT researchers’ DiffSyn model offers recipes for synthesizing new materials, enabling faster experimentation and a shorter journey from hypothesis to use.
MIT researchers’ DiffSyn model offers recipes for synthesizing new materials, enabling faster experimentation and a shorter journey from hypothesis to use.
As AI technology advances, a new interdisciplinary course seeks to equip students with foundational critical thinking skills in computing.
Read MoreNew research detects hidden evidence of mistaken correlations — and provides a method to improve accuracy.
Read MoreWith support from the Siegel Family Endowment, the newly renamed MIT Siegel Family Quest for Intelligence investigates how brains produce intelligence and how it can be replicated to solve problems.
Read More“MechStyle” allows users to personalize 3D models, while ensuring they’re physically viable after fabrication, producing unique personal items and assistive technology.
Read MoreWhile the growing energy demands of AI are worrying, some techniques can also help make power grids cleaner and more efficient.
Read MoreWith the help of AI, MIT Research Scientist Judah Cohen is reshaping subseasonal forecasting, with the goal of extending the lead time for predicting impactful weather.
Read MoreRecent launch event for the center featured discussions on pro-worker AI, wealth inequality, and the future of liberal democracy.
Read MoreNew research demonstrates how AI models can be tested to ensure they don’t cause harm by revealing anonymized patient health data.
Read MoreMIT graduate student C Jacob Payne reimagines historic architecture and invents new possibilities at the intersection of AI and design.
Read More
You must be logged in to post a comment.