Helping students of all ages flourish in the era of artificial intelligence
Responsible AI for Social Empowerment and Education (RAISE) seeks to empower more people to participate in, and benefit from, AI.
Responsible AI for Social Empowerment and Education (RAISE) seeks to empower more people to participate in, and benefit from, AI.
DELPHI, an artificial intelligence framework, can give an “early-alert” signal for future key technologies by learning from patterns gleaned from previous scientific publications.
Algorithm enables robot teams to complete missions, such as mapping or search-and-rescue, with minimal wasted effort.
With just 50 lines of code, the program spots and fixes likely errors.
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.