Electrical Engineering & Computer Science (eecs)
Electrical Engineering & Computer Science (eecs)

Electrical Engineering & Computer Science (eecs)

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.

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.

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.

Algorithms Artificial Intelligence Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing Natural language processing Research School of Engineering

MIT researchers make language models scalable self-learners

The scientists used a natural language-based logical inference dataset to create smaller language models that outperformed much larger counterparts.