On May 6 and 7, researchers from the AI Policy Forum will present their preliminary AI public policy proposals aimed at shaping specific and significant uses of AI in our lives.
Design of miniature optical systems could lead to future cell phones that can detect viruses and more.
At MIT Forefront, industry and Institute leaders discuss how businesses play a pivotal role in deploying new technologies that will mitigate climate change.
SuperUROP scholars apply deep learning to improve accuracy of climate models, profitably match computers in the cloud with customers, and more.
Her research focuses on more-efficient deep neural networks to process video, and more-efficient hardware to run applications.
Student inventors recognized on World IP Day for groundbreaking, patentable solutions to issues related to maternal health, energy efficiency, and plastic waste.
Four MIT undergraduates whose research areas explore artificial intelligence, space, and climate change honored for their academic achievements.
The advance could accelerate engineers’ design process by eliminating the need to solve complex equations.
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.
Future of Data, Trust, and Privacy initiative aims to address AI-driven analytics and changing attitudes about personal data.
Researchers propose a method for finding and fixing weaknesses in automated programming tools.
Cardea software system aims to bring the power of prediction to hospitals by streamlining complex machine learning processes.
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.
System uses penetrative radio frequency to pinpoint items, even when they’re hidden from view.
MIT research combines machine learning with nanoparticle design for personalized drug delivery.