AI & Machine Learning
Shaping the future of engineering
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Building AI models that understand chemical principles
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Method for stress-testing cloud computing algorithms helps avoid network failures
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Games people — and machines — play: Untangling strategic reasoning to advance AI
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Enabling privacy-preserving AI training on everyday devices
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A faster way to estimate AI power consumption
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New chip can protect wireless biomedical devices from quantum attacks
Computing at MIT
Computing at MIT
MIT has been at the forefront of computing for decades, from the early days of machine learning to today’s rapid advances in generative AI. In close collaboration with the Schwarzman College of Computing, the School of Engineering brings together experts in computation and AI with engineers across disciplines to develop solutions that have real-world impact, and that are applied responsibly and ethically.
Faculty Spotlights
Phillip Isola
Associate Professor
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Title
Abby Rockefeller Mauzé Professor
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Department
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Lab
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Research area
Computer vision, machine learning, AI, human-like
Intelligence
Arvind Satyanarayan
Associate Professor of Computer Science; Department of Electrical Engineering and Computer Science
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Department
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Lab
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Research area
Interactive data visualizations that amplify human creativity and cognition
Luca Carlone
Associate Professor
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Department
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Lab
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Research area
Design of certifiable perception algorithms for high-integrity autonomous systems and the development of algorithms and systems for real-time 3D scene understanding on mobile robotics platforms operating in the real world.
Generative AI
Administered by the MIT Schwarzman College of Computing, the MIT Generative AI Impact Consortium (MGAIC) brings MIT researchers, including members of the engineering community, together with industry leaders to explore how generative AI can spawn transformative solutions for real-world challenges.
Related Labs, Centers, and Programs
Departments working on AI and Machine Learning
MIT engineers developed an insect-sized jumping robot that can traverse challenging terrains while using far less energy than an aerial robot of comparable size.
