School of Science
School of Science

School of Science

Artificial Intelligence Brain and cognitive sciences Cells Computer science and technology machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab National Institutes of Health (NIH) Neuroscience Research School of Science

AI models are powerful, but are they biologically plausible?

A new study bridging neuroscience and machine learning offers insights into the potential role of astrocytes in the human brain.

Artificial Intelligence Brain and cognitive sciences Computer modeling computer-vision McGovern Institute MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Neuroscience Quest for Intelligence Research School of Engineering School of Science

When computer vision works more like a brain, it sees more like people do

Training artificial neural networks with data from real brains can make computer vision more robust.

Artificial Intelligence Arts Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology computer-vision Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research School of Engineering School of Science

Computer vision system marries image recognition and generation

MAGE merges the two key tasks of image generation and recognition, typically trained separately, into a single system.

Artificial Intelligence Awards, honors and fellowships Brain and cognitive sciences Computer science and technology Contests and academic competitions Electrical Engineering & Computer Science (eecs) Graduate, postdoctoral Human-computer interaction Management Mathematics Media Lab MIT Schwarzman College of Computing MIT Sloan School of Management Philosophy School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science Students Technology and policy Technology and society Undergraduate Urban studies and planning

Envisioning the future of computing

MIT students share ideas, aspirations, and vision for how advances in computing stand to transform society in a competition hosted by the Social and Ethical Responsibilities of Computing.

Artificial Intelligence Astronomy Astrophysics Awards, honors and fellowships Graduate, postdoctoral Physics Quantum Computing Quantum mechanics School of Science Space, astronomy and planetary science Spain Staff

Three Spanish MIT physics postdocs receive Botton Foundation fellowships

Recipients Luis Antonio Benítez, Carolina Cuesta-Lazaro, and Fernando Romero López receive support for their scientific research.

Algorithms Anthropology Artificial Intelligence Augmented and virtual reality Biology Brain and cognitive sciences Business and management Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Economics Education, teaching, academics Electrical Engineering & Computer Science (eecs) Ethics Faculty Government Graduate, postdoctoral Health Care Humanities IDSS Industry machine learning Mathematics MIT Schwarzman College of Computing MIT Sloan School of Management Political science Program in STS Research School of Architecture and Planning School of Engineering School of Humanities Arts and Social Sciences School of Science social media Special events and guest speakers Students Technology and policy Technology and society Undergraduate Urban studies and planning

Bringing the social and ethical responsibilities of computing to the forefront

The inaugural SERC Symposium convened experts from multiple disciplines to explore the challenges and opportunities that arise with the broad applicability of computing in many aspects of society.

Artificial Intelligence Biological engineering Broad Institute Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Drug discovery Electrical engineering and computer science (EECS) machine learning Mathematics MIT Schwarzman College of Computing National Institutes of Health (NIH) National Science Foundation (NSF) Proteins Ragon Institute Research School of Engineering School of Science

New model offers a way to speed up drug discovery

By applying a language model to protein-drug interactions, researchers can quickly screen large libraries of potential drug compounds.

Algorithms Artificial Intelligence Autonomous vehicles Brain and cognitive sciences Computer science and technology Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing Programming Programming languages Research School of Engineering School of Science

Probabilistic AI that knows how well it’s working

It’s more important than ever for artificial intelligence to estimate how accurately it is explaining data.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Democracy Economics Electrical Engineering & Computer Science (eecs) Immigration Mathematics MIT Schwarzman College of Computing Music Music and theater arts politics Profile School of Engineering School of Humanities Arts and Social Sciences School of Science Social justice Student life Students Undergraduate

Using data to write songs for progress

Senior Ananya Gurumurthy adds her musical talents to her math and computer science studies to advocate using data for social change.

Agriculture Artificial Intelligence Bioengineering and biotechnology Biological engineering Biology Carbon dioxide chemistry Climate change Collaboration Food Funding Genetic engineering Grants Greenhouse gases J-WAFS machine learning Plants Research School of Engineering School of Science Synthetic biology Water Whitehead Institute

Inaugural J-WAFS Grand Challenge aims to develop enhanced crop variants and move them from lab to land

Matt Shoulders will lead an interdisciplinary team to improve RuBisCO — the photosynthesis enzyme thought to be the holy grail for improving agricultural yield.