Climate solutions depend on technology, policy, and businesses working together
At MIT Forefront, industry and Institute leaders discuss how businesses play a pivotal role in deploying new technologies that will mitigate climate change.
Undergraduates explore practical applications of artificial intelligence
SuperUROP scholars apply deep learning to improve accuracy of climate models, profitably match computers in the cloud with customers, and more.
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.
Top collegiate inventors awarded 2021 Lemelson-MIT Student Prize
Student inventors recognized on World IP Day for groundbreaking, patentable solutions to issues related to maternal health, energy efficiency, and plastic waste.
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.
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.
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.
A robot that senses hidden objects
System uses penetrative radio frequency to pinpoint items, even when they’re hidden from view.
Big data dreams for tiny technologies
MIT research combines machine learning with nanoparticle design for personalized drug delivery.
Homing in on longer-lasting perovskite solar cells
A new approach to identifying useful formulations could help solve the degradation issue for these promising new lightweight photovoltaics.
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.