MIT Schwarzman College of Computing
MIT Schwarzman College of Computing

MIT Schwarzman College of Computing

Aeronautical and astronautical engineering Artificial Intelligence Autonomous vehicles Data Faculty Interview Laboratory for Information and Decision Systems (LIDS) machine learning MIT Schwarzman College of Computing Robotics School of Engineering

3 Questions: Honing robot perception and mapping

Luca Carlone and Jonathan How of MIT LIDS discuss how future robots might perceive and interact with their environment.

Algorithms Artificial Intelligence chemistry Computer modeling Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Drug discovery Electrical Engineering & Computer Science (eecs) machine learning Materials science and engineering MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Research School of Engineering

Learning the language of molecules to predict their properties

This AI system only needs a small amount of data to predict molecular properties, which could speed up drug discovery and material development.

Artificial Intelligence Biological engineering Biology Broad Institute Defense Advanced Research Projects Agency (DARPA) Electrical Engineering & Computer Science (eecs) Harvard-MIT Health Sciences and Technology Institute for Medical Engineering and Science (IMES) Jameel Clinic machine learning Mechanical engineering MIT Schwarzman College of Computing open source Research School of Engineering

MIT scientists build a system that can generate AI models for biology research

BioAutoMATED, an open-source, automated machine-learning platform, aims to help democratize artificial intelligence for research labs.

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.

Aeronautical and astronautical engineering Artificial Intelligence Classes and programs Computer Science and Artificial Intelligence Laboratory (CSAIL) Data Department of Defense (DoD) Education, teaching, academics Electrical Engineering & Computer Science (eecs) Government Leadership machine learning MIT Schwarzman College of Computing MIT Sloan School of Management Office of Open Learning School of Engineering Security studies and military

Educating national security leaders on artificial intelligence

Experts from MIT’s School of Engineering, Schwarzman College of Computing, and Sloan Executive Education educate national security leaders in AI fundamentals.

Artificial Intelligence Assistive technology Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering Science communications

Researchers teach an AI to write better chart captions

A new dataset can help scientists develop automatic systems that generate richer, more descriptive captions for online charts.

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 Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Deshpande Center DMSE Electrical Engineering & Computer Science (eecs) Funding Grants Innovation and Entrepreneurship (I&E) machine learning Media Lab MIT Schwarzman College of Computing Research School of Engineering

MIT-Pillar AI Collective announces first seed grant recipients

Six teams conducting research in AI, data science, and machine learning receive funding for projects that have potential commercial applications.

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 Awards, honors and fellowships Biological engineering Collaboration Data Electrical Engineering & Computer Science (eecs) Funding Health Care Industry Innovation and Entrepreneurship (I&E) Koch Institute MIT Schwarzman College of Computing Pharmaceuticals School of Engineering

Novo Nordisk to support MIT postdocs working at the intersection of AI and life sciences

MIT-Novo Nordisk Artificial Intelligence Postdoctoral Fellows Program will support up to 10 postdocs annually over five years.