The potential of artificial intelligence to bring equity in health care
Nearly 1,400 joined the AI for Health Care Equity Conference that explored new AI technologies as a platform for change.
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Nearly 1,400 joined the AI for Health Care Equity Conference that explored new AI technologies as a platform for change.
Work on three graphene-based devices may yield new insights into superconductivity.
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.
Atomically thin materials are a promising alternative to silicon-based transistors; now researchers can connect them more efficiently to other chip elements.
With just 50 lines of code, the program spots and fixes likely errors.
MIT researchers have determined the virus’ protein-coding gene set and analyzed new mutations’ likelihood of helping the virus adapt.
Fellowship funds graduate studies at Stanford University.
Robotic arm equipped with a hairbrush helps with brushing tasks and could be an asset in assistive-care settings.
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.
“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.
MIT researchers develop compact on-chip device for detecting electric-field waveforms with attosecond time resolution.
Her research focuses on more-efficient deep neural networks to process video, and more-efficient hardware to run applications.
MIT-Spain students deliver virtual learning challenges to over 1,800 Spanish students.