Model quantifies the impact of quarantine measures on Covid-19’s spread
A machine learning algorithm combines data on the disease's spread with a neural network, to help predict when infections will slow down in each country.
A machine learning algorithm combines data on the disease's spread with a neural network, to help predict when infections will slow down in each country.
Concrete is the world’s most consumed construction material. Yet there’s a lot the public doesn’t know about it or its environmental impact.
Translated into sound, SARS-CoV-2 tricks our ear in the same way the virus tricks our cells.
MIT Concrete Sustainability Hub researchers are investigating how the layouts, or textures, of cities influence extreme weather events.
Technique may enable speedy, on-demand design of softer, safer neural devices.
MIT Professor David Simchi-Levi forecast the mid-March manufacturing pause. Now he looks ahead.
MIT Professor Yossi Sheffi describes the supply chain landscape in the U.S., from food security to concerns about medical supplies.
A new way of making polymers adhere to surfaces may enable better biomedical sensors and implants.
A variety of MIT research projects could aid efforts to detect and prevent the spread of coronavirus.
Institute ranks second in five subject areas.
Computer and data science graduates learned to forge their own destinies while gaining employable skills.
High-scoring 100&Change applications featured in Bold Solutions Network.
Study finds Earth’s oceans contain just the right amount of iron; adding more may not improve their ability to absorb carbon dioxide.
Research underscores infection is not a common hospital transmission.
Improving the rate of handwashing at just 10 major airports could significantly slow the spread of a viral disease, researchers estimate.