Deep learning helps predict new drug combinations to fight Covid-19
Neural network identifies synergistic drug blends for treating viruses like SARS-CoV-2.
Neural network identifies synergistic drug blends for treating viruses like SARS-CoV-2.
The Great Glass Pumpkin Patch returns to MIT with 2,000 new pumpkins.
New engagement discussed during recent visit to campus.
Interdisciplinary research center funded by philanthropist Lisa Yang aims to mitigate disability through technologies that marry human physiology with electromechanics.
An AI-enhanced system enables doctors to spend less time searching for clinical information and more time treating patients.
An electrical impedance tomography toolkit lets users design and fabricate health and motion sensing devices.
Probstein’s research had diverse applications in fields including aeronautics, energy, desalination, and soil decontamination.
The head of MIT’s Department of Chemical Engineering will serve on the President’s Council of Advisors on Science and Technology.
Engineers have designed a relatively low-cost, energy-efficient approach to treating water contaminated with heavy metals.
MIT researchers have analyzed greenhouse gas emissions from future buildings across America and outlined region-specific solutions.
MIT scientists show how fast algorithms are improving across a broad range of examples, demonstrating their critical importance in advancing computing.
PhD student Limiao Zhang sees surprising connections between the behavior of cars and bubbles.
Reversible system can flip the magnetic orientation of particles with a small voltage; could lead to faster data storage and smaller sensors.
Themistoklis Sapsis tackles engineering problems associated with the unpredictable ocean environment and its effects on ships and other structures.
Using nanoparticles that store and gradually release light, engineers create light-emitting plants that can be charged repeatedly.