Behind Covid-19 vaccine development
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.
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.
With just 50 lines of code, the program spots and fixes likely errors.
Theory-based residual neural network combines discrete choice models and deep neural networks, long viewed as conflicting methods.
Lincoln Laboratory connects counter–human trafficking community in pursuit of technology to help investigate cases.
Design of miniature optical systems could lead to future cell phones that can detect viruses and more.
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.
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.