School of Engineering Archives

Q&A: How AI came to model the “messy” human mind

Assistant Professor Benjamin Lindquist studies how engineers deliberately injected randomness into early AI, giving rise to deep-learning models that sometimes hallucinate.

This design software reimagines everyday objects as self-aware devices

“X-Hinges” helps design and 3D print items like lamps and gloves with an interactive twist: automatically embedded sensors that perceive and adaptively respond to human contact.

Why teaching AI about symmetry could make prenatal diagnosis more reliable

A model developed by researchers at MIT and Boston Children’s Hospital adjusts scans on the fly to track fetal movement, potentially sparing families repeat hospital visits.

Giving AI a “crystal clear” view of the materials world

New research can help AI models understand crystalline materials in 3D and reason about their properties.

State of Supply Chain Sustainability Report finds corporate commitment at record high, but governance lags behind

MIT’s Center for Transportation and Logistics finds sustainability commitments are strong, but governance gaps and external disruptions prevent execution.

Researchers improve weather forecasts looking two to six weeks out

A new machine-learning approach broke records for weather forecasting for an important time frame in emergency planning.

3 Questions: What is the best path forward for AI in academia

MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.

3 Questions: What is the best path forward for AI in academia

MIT Statistics and Data Science Center Director Alexander (Sasha) Rakhlin shares important considerations for departments and institutions.

Using AI to mitigate the growing environmental threat of data centers

By rethinking how large cloud computing systems operate, Associate Professor Christina Delimitrou seeks to make data centers more energy efficient.

Computational tools for society’s most complex challenges

Associate Professor Cathy Wu uses reinforcement learning to help map out improvements to transportation and other multifaceted systems.

School of Engineering

This design software reimagines everyday objects as self-aware devices

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Why teaching AI about symmetry could make prenatal diagnosis more reliable

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Giving AI a “crystal clear” view of the materials world

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State of Supply Chain Sustainability Report finds corporate commitment at record high, but governance lags behind

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Researchers improve weather forecasts looking two to six weeks out

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3 Questions: What is the best path forward for AI in academia

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3 Questions: What is the best path forward for AI in academia

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Using AI to mitigate the growing environmental threat of data centers

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Computational tools for society’s most complex challenges

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