In The News

Toward deep-learning models that can reason about code more like humans
Toward deep-learning models that can reason about code more like humans

Researchers propose a method for finding and fixing weaknesses in automated programming tools.

A method to assess Covid-19 transmission risks in indoor settings
A method to assess Covid-19 transmission risks in indoor settings

MIT researchers have developed a publicly available model based on physics and data from past spreading events.

Professor Emeritus Ernest Cravalho, an expert in thermodynamics and pioneer in thermal fluids education, dies at 82
Professor Emeritus Ernest Cravalho, an expert in thermodynamics and pioneer in thermal fluids education, dies at 82

A leader in thermodynamics, heat transfer, cryopreservation of biomaterials, and energy conversion, Cravalho shaped thermodynamic and biomedical education at MIT.

Nine MIT students awarded 2021 Paul and Daisy Soros Fellowships for New Americans
Nine MIT students awarded 2021 Paul and Daisy Soros Fellowships for New Americans

Fellowship funds graduate studies for outstanding immigrants and children of immigrants.

One-stop machine learning platform turns health care data into insights
One-stop machine learning platform turns health care data into insights

Cardea software system aims to bring the power of prediction to hospitals by streamlining complex machine learning processes.

SMART researchers develop 15-minute immune-profiling assay
SMART researchers develop 15-minute immune-profiling assay

Deterministic lateral displacement assay can rapidly assess host inflammatory response, identifying a potentially life-threatening hyper-aggressive immune response.

How MIT OpenCourseWare became an educational resource to millions around the world
How MIT OpenCourseWare became an educational resource to millions around the world

Celebrating 20 remarkable years, MIT OCW looks to the future, informed by learning needs underscored by the Covid-19 pandemic.

Seeking the cellular mechanisms of disease, with help from machine learning
Seeking the cellular mechanisms of disease, with help from machine learning

Caroline Uhler blends machine learning, statistics, and biology to understand how our bodies respond to illness.

A safer way to deploy bacteria as environmental sensors
A safer way to deploy bacteria as environmental sensors

Encapsulating modified bacteria in tough hydrogel spheres prevents them from spreading genes to other microbes.

An artificial intelligence tool that can help detect melanoma
An artificial intelligence tool that can help detect melanoma

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.

popupimg

title

content Link link