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Alumni/ae Artificial Intelligence Computer science and technology Data Electrical Engineering & Computer Science (eecs) Electronics Innovation and Entrepreneurship (I&E) machine learning MIT $100K competition Photonics School of Engineering Startups Sustainability Sustainable computing

Startup accelerates progress toward light-speed computing

Lightmatter, founded by three MIT alumni, is using photonic technologies to reinvent how chips communicate and calculate.

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“We offer another place for knowledge”

After acquiring data science and AI skills from MIT, Jospin Hassan shared them with his community in the Dzaleka Refugee Camp in Malawi and built pathways for talented learners.

Algorithms Alumni/ae Artificial Intelligence Data Innovation and Entrepreneurship (I&E) machine learning Media Lab School of Architecture and Planning Startups

Putting AI into the hands of people with problems to solve

Alumni-founded Pienso has developed a user-friendly AI builder so domain experts can build solutions without writing any code.

Artificial Intelligence Awards, honors and fellowships Data Deshpande Center Electrical Engineering & Computer Science (eecs) Graduate, postdoctoral Innovation and Entrepreneurship (I&E) machine learning Mechanical engineering Robotics School of Engineering Startups Students

Six MIT students selected as spring 2024 MIT-Pillar AI Collective Fellows

The graduate students will aim to commercialize innovations in AI, machine learning, and data science.

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

How symmetry can come to the aid of machine learning

Exploiting the symmetry within datasets, MIT researchers show, can decrease the amount of data needed for training neural networks.

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Generating the policy of tomorrow

Hundreds of participants from around the world joined the sixth annual MIT Policy Hackathon to develop data-informed policy solutions to challenges in health, housing, and more.

Algorithms Artificial Intelligence Cancer Computer Science and Artificial Intelligence Laboratory (CSAIL) Computer science and technology Data Defense Advanced Research Projects Agency (DARPA) Diagnostics Electrical Engineering & Computer Science (eecs) Health sciences and technology machine learning Medicine MIT Schwarzman College of Computing National Science Foundation (NSF) Research School of Engineering Technology and society

New hope for early pancreatic cancer intervention via AI-based risk prediction

MIT CSAIL researchers develop advanced machine-learning models that outperform current methods in detecting pancreatic ductal adenocarcinoma.

Algorithms Artificial Intelligence Computer science and technology computer-vision Data Defense Advanced Research Projects Agency (DARPA) Electrical Engineering & Computer Science (eecs) machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab National Science Foundation (NSF) Research Robotics School of Engineering

Multiple AI models help robots execute complex plans more transparently

A multimodal system uses models trained on language, vision, and action data to help robots develop and execute plans for household, construction, and manufacturing tasks.

Algorithms Artificial Intelligence Computer science and technology Data machine learning Mathematics MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Physics Research School of Science

Technique could efficiently solve partial differential equations for numerous applications

MIT researchers propose “PEDS” method for developing models of complex physical systems in mechanics, optics, thermal transport, fluid dynamics, physical chemistry, climate, and more.

Artificial Intelligence Classes and programs Collaboration Data Electrical Engineering & Computer Science (eecs) Graduate, postdoctoral Human-computer interaction Industry Linguistics machine learning MIT Schwarzman College of Computing MIT-IBM Watson AI Lab Natural language processing Research School of Engineering School of Humanities Arts and Social Sciences Students

Leveraging language to understand machines

Master’s students Irene Terpstra ’23 and Rujul Gandhi ’22 use language to design new integrated circuits and make it understandable to robots.