Q&A: Vivienne Sze on crossing the hardware-software divide for efficient artificial intelligence
Her research focuses on more-efficient deep neural networks to process video, and more-efficient hardware to run applications.
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Spencer Compton, Karna Morey, Tara Venkatadri, and Lily Zhang named 2021-22 Goldwater Scholars
Four MIT undergraduates whose research areas explore artificial intelligence, space, and climate change honored for their academic achievements.
New AI tool calculates materials’ stress and strain based on photos
The advance could accelerate engineers’ design process by eliminating the need to solve complex equations.
From diabetes to Covid-19, Better World (Health) showcases MIT research in action
MIT alumni and friends from around the globe attended an online event that featured presentations from Institute leaders, faculty, and alumni about human health-related research.
Innovative design thinking for a fast-changing world
Blade Kotelly is a senior lecturer on design thinking and innovation, bringing expertise to the world's top brands to better innovate in complex product and service environments.
MIT launches new data privacy-focused initiative
Future of Data, Trust, and Privacy initiative aims to address AI-driven analytics and changing attitudes about personal data.
Toward deep-learning models that can reason about code more like humans
Researchers propose a method for finding and fixing weaknesses in automated programming tools.
One-stop machine learning platform turns health care data into insights
Cardea software system aims to bring the power of prediction to hospitals by streamlining complex machine learning processes.
School of Science announces 2021 Infinite Mile awards
Thirteen staff members recognized for dedication to School of Science and to MIT.
An artificial intelligence tool that can help detect melanoma
Using deep convolutional neural networks, researchers devise a system that quickly analyzes wide-field images of patients’ skin in order to more efficiently detect cancer.
3 Questions: Artificial intelligence for health care equity
Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.
More transparency and understanding into machine behaviors
A new tool helps humans better understand and develop artificial intelligence models by searching and highlighting representative scenarios.
School of Engineering first quarter 2021 awards
Faculty members recognized for excellence via a diverse array of honors, grants, and prizes over the last quarter.
Industry, labor, and education leaders discuss the work of the future
At MIT Forefront, panelists explore ways to prepare workers and improve jobs.