Computer science and technology
Computer science and technology

Computer science and technology

Algorithms Artificial Intelligence Biology Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology DNA Drug development Electrical Engineering & Computer Science (eecs) Jameel Clinic machine learning Medicine MIT Schwarzman College of Computing Pharmaceuticals Proteins Research School of Engineering

Generative AI imagines new protein structures

MIT researchers develop “FrameDiff,” a computational tool that uses generative AI to craft new protein structures, with the aim of accelerating drug development and improving gene therapy.

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 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.

Algorithms Analytics apps Artificial Intelligence Collaboration Community Computer science and technology Education, teaching, academics Ethics Government Human-computer interaction International initiatives Internet K-12 education Labor and jobs Media Lab Mobile devices Office of Open Learning Online learning Open access Personal robotics School of Architecture and Planning Science communications social media Special events and guest speakers STEM education Technology and policy Technology and society

Day of AI curriculum meets the moment

Global participation in MIT RAISE’s free K-12 program more than doubles in its second year.

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 Community Computer science and technology Ethics Faculty Graduate, postdoctoral Innovation and Entrepreneurship (I&E) machine learning Policy Robotics School of Architecture and Planning Social entrepreneurship Social justice Students Technology and policy Technology and society Urban studies and planning

Defining the public interest in new technologies

New online journal seeks to seeks to bring together the MIT community to discuss the social responsibilities of individuals who design, implement, and evaluate technologies.

Aeronautical and astronautical engineering Artificial Intelligence Autonomous vehicles Computer science and technology Drones Laboratory for Information and Decision Systems (LIDS) Lincoln Laboratory machine learning MIT Schwarzman College of Computing Research Robotics Robots School of Engineering

A step toward safe and reliable autopilots for flying

A new AI-based approach for controlling autonomous robots satisfies the often-conflicting goals of safety and stability.

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.