MIT News Artificial Intelligence

Assistant Professor Priya Donti’s research applies machine learning to optimize renewable energy.

Incorporating machine learning, MIT engineers developed a way to 3D print alloys that are much stronger than conventionally manufactured versions.

The approach combines physics and machine learning to avoid damaging disruptions when powering down tokamak fusion machines.

MIT CSAIL and McMaster researchers used a generative AI model to reveal how a narrow-spectrum antibiotic attacks disease-causing bacteria, speeding up a process that normally takes years.

Bakshi will help shape and scale entrepreneurship education and platform at MIT.

Optimized for generative AI, TX-GAIN is driving innovation in biodefense, materials discovery, cybersecurity, and other areas of research and development.

Explosive growth of AI data centers is expected to increase greenhouse gas emissions. Researchers are now seeking solutions to reduce these environmental harms.

The new “CRESt” platform could help find solutions to real-world energy problems that have plagued the materials science and engineering community for decades.

By enabling rapid annotation of areas of interest in medical images, the tool can help scientists study new treatments or map disease progression.

Economics doctoral student Whitney Zhang investigates how technologies and organizational decisions shape labor markets.

Department of Mathematics researchers David Roe and Andrew Sutherland seek to advance automated theorem proving; four additional MIT alumni also awarded.

With SCIGEN, researchers can steer AI models to create materials with exotic properties for applications like quantum computing.

This year’s delta v summer accelerator offered an up-close look at how AI is changing the process of building a startup.

At the inaugural MIT Generative AI Impact Consortium Symposium, researchers and business leaders discussed potential advancements centered on this powerful technology.

MIT-IBM Watson AI Lab researchers have developed a universal guide for estimating how large language models will perform based on smaller models in the same family.

MIT CSAIL researchers developed a tool that can model the shape and movements of fetuses in 3D, potentially assisting doctors in finding abnormalities and making diagnoses.

The research center, sponsored by the DOE’s National Nuclear Security Administration, will advance the simulation of extreme environments, such as those in hypersonic flight and atmospheric reentry.

Popular mechanical engineering course applies machine learning and AI theory to real-world engineering design.

MIT CSAIL researchers developed SustainaPrint, a system that reinforces only the weakest zones of eco-friendly 3D prints, achieving strong results with less plastic.

System developed at MIT could provide realistic predictions for a wide variety of reactions, while maintaining real-world physical constraints.