Professor Antonio Torralba elected 2021 AAAI Fellow
EECS faculty head of artificial intelligence and decision making honored for significant and extended contributions to the field of AI.
MIT-IBM Watson AI Lab
Neuroscientists find a way to make object-recognition models perform better
Adding a module that mimics part of the brain can prevent common errors made by computer vision models.
Vibrations of coronavirus proteins may play a role in infection
Study suggests mechanical properties of spike proteins can predict infectivity and lethality of different coronaviruses.
MIT undergraduates pursue research opportunities through the pandemic
Working remotely this summer, students worked to better understand human intelligence and to advance machine learning applications.
MIT partners with national labs on two new National Quantum Information Science Research Centers
Co-design Center for Quantum Advantage and Quantum Systems Accelerator are funded by the U.S. Department of Energy to accelerate the development of quantum computers.
Toward a machine learning model that can reason about everyday actions
Researchers train a model to reach human-level performance at recognizing abstract concepts in video.
Face-specific brain area responds to faces even in people born blind
Study finds that the fusiform face area is active when blind people touch 3D models of faces.
Shrinking deep learning’s carbon footprint
Through innovation in software and hardware, researchers move to reduce the financial and environmental costs of modern artificial intelligence.
Engineers put tens of thousands of artificial brain synapses on a single chip
The design could advance the development of small, portable AI devices.
Undergraduates develop next-generation intelligence tools
UROP students explore applications in robotics, health care, language understanding, and nuclear engineering.
Marshaling artificial intelligence in the fight against Covid-19
The MIT-IBM Watson AI Lab is funding 10 research projects aimed at addressing the health and economic consequences of the pandemic.
A foolproof way to shrink deep learning models
Researchers unveil a pruning algorithm to make artificial intelligence applications run faster.
Reducing the carbon footprint of artificial intelligence
MIT system cuts the energy required for training and running neural networks.
Q&A: Markus Buehler on setting coronavirus and AI-inspired proteins to music
Translated into sound, SARS-CoV-2 tricks our ear in the same way the virus tricks our cells.
“Inactive” pill ingredients could raise the dose of your medication
With help from artificial intelligence, researchers identify hidden power of vitamin A and ordinary chewing gum glaze.