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.
“Programmable matter” technique could enable product designers to churn out prototypes with ease.
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.
Four MIT undergraduates whose research areas explore artificial intelligence, space, and climate change honored for their academic achievements.
Researchers propose a method for finding and fixing weaknesses in automated programming tools.
Regina Barzilay, Fotini Christia, and Collin Stultz describe how artificial intelligence and machine learning can support fairness, personalization, and inclusiveness in health care.
A new tool helps humans better understand and develop artificial intelligence models by searching and highlighting representative scenarios.
Deep-learning technique optimizes the arrangement of sensors on a robot’s body to ensure efficient operation.
Wireless sensing technology could help improve patients’ technique with inhalers and insulin pens.
A new method called tensor holography could enable the creation of holograms for virtual reality, 3D printing, medical imaging, and more — and it can run on a smartphone.
Social media users share charts and graphs — often with the same underlying data — to advocate opposing approaches to the pandemic.