New hardware offers faster computation for artificial intelligence, with much less energy
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
A geometric deep-learning model is faster and more accurate than state-of-the-art computational models, reducing the chances and costs of drug trial failures.
Costis Daskalakis appointed inaugural Avanessians Professor in the MIT Schwarzman College of Computing
The MIT Stephen A. Schwarzman College of Computing has named Costis Daskalakis as the inaugural holder of the Avanessians Professorship. His chair began on July 1. Daskalakis is…
The Thriving Stars of AI
Four early-career researchers shared their work on improving the social outcomes of artificial intelligence and machine learning at a research summit hosted by EECS Thriving Stars.
MIT alumni-founded Overjet analyzes and annotates dental X-rays to help dentists offer more comprehensive care.
Student-powered machine learning
Recent MEng graduates reflect on their application-focused research as affiliates of the MIT-IBM Watson AI Lab.
Study shows AI can identify self-reported race from medical images that contain no indications of race detectable by human experts.
On the road to cleaner, greener, and faster driving
Researchers use artificial intelligence to help autonomous vehicles avoid idling at red lights.
School of Engineering welcomes new faculty
Sixteen new professors join the MIT community, with research areas ranging from robotics and machine learning to health care and agriculture.
Injecting fairness into machine-learning models
A new technique boosts models’ ability to reduce bias, even if the dataset used to train the model is unbalanced.