How well do explanation methods for machine-learning models work? | MIT News

Imagine a team of physicians using a neural network to detect cancer in mammogram images. Even…

“Hey, Alexa! Are you trustworthy?”

A family gathers around their kitchen island to unbox the digital assistant they just purchased. They…

Q&A: Dolapo Adedokun on computer technology, Ireland, and all that jazz | MIT News

Adedolapo Adedokun has a lot to look forward to in 2023. After completing his degree in…

The promise and pitfalls of artificial intelligence explored at TEDxMIT event | MIT News

Scientists, students, and community members came together last month to discuss the promise and pitfalls of…

Physics and the machine-learning “black box” | MIT News

Machine-learning algorithms are often referred to as a “black box.” Once data are put into an…

Meet the 2021-22 Accenture Fellows | MIT News

Launched in October of 2020, the MIT and Accenture Convergence Initiative for Industry and Technology underscores…

Perfecting pitch perception | MIT News

New research from MIT neuroscientists suggests that natural soundscapes have shaped our sense of hearing, optimizing…

Characters for good, created by artificial intelligence | MIT News

As it becomes easier to create hyper-realistic digital characters using artificial intelligence, much of the conversation…

Q&A: Cathy Wu on developing algorithms to safely integrate robots into our world | MIT News

Cathy Wu is the Gilbert W. Winslow Assistant Professor of Civil and Environmental Engineering and a…

Nonsense can make sense to machine-learning models | MIT News

For all that neural networks can accomplish, we still don’t really understand how they operate. Sure,…