Artificial intelligence system could help counter the spread of disinformation
Built at MIT Lincoln Laboratory, the RIO program automatically detects and analyzes social media accounts that spread disinformation across a network.
Built at MIT Lincoln Laboratory, the RIO program automatically detects and analyzes social media accounts that spread disinformation across a network.
Machine learning software advances could help anesthesiologists optimize drug dose.
Professor Markus Buehler composed it, and a South Korean orchestra performed it; it’s the latest in a series of artistic collaborations sparked by Buehler’s exploration of the structure of SARS-CoV-2.
Society for Industrial and Applied Mathematics recognizes Kepner, a pivotal member of the team that established Lincoln Laboratory's Supercomputing Center, for his innovative work in computing.
Netra, co-founded by Shashi Kant SM ’06, uses artificial intelligence to help companies sort and manage video content.
A machine learning model developed jointly by Janssen and MIT data scientists played a key role in the clinical trial process for the Johnson & Johnson Covid-19 vaccine.
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.