Tool predicts how fast code will run on a chip
Machine-learning system should enable developers to improve computing efficiency in a range of applications.
Machine-learning system should enable developers to improve computing efficiency in a range of applications.
Longtime MIT professor was a world leader in inelastic deformation and fracture of engineering materials.
Most popular stories of the year include science breakthroughs, engineering feats, and confirmation of 16th century architectural genius.
With help from spaghetti and color-changing fibers, a new mathematical model predicts a knot’s stability.
Materials engineering and energy expert to succeed Chris Schuh.
MIT graduate student Seth Cazzell shows controlling pH enables reversible hydrogel formation in wider range of metal concentrations.
Three innovative research projects in literature, plant epigenetics, and chemical engineering will be supported by Professor Amar G. Bose Research Grants.
As natural language processing techniques improve, suggestions are getting speedier and more relevant.
With its centerpiece exhibit for the forthcoming Universal Hip Hop Museum, an MIT team uses artificial intelligence to explore the rich history of hip hop music.
Technique may help remotely image and assess health of infants, burn victims, and accident survivors in hard-to-reach places.
Using limited data, this automated system predicts a company’s quarterly sales.
Method concentrates radionuclides in a small portion of a nuclear plant’s wastewater, allowing the rest to be recycled.
Specialized invisible dye, delivered along with a vaccine, could enable “on-patient” storage of vaccination history to save lives in regions where paper or digital records aren’t available.
Mechanical engineers rush to develop energy conversion and storage technologies from renewable sources such as wind, wave, solar, and thermal.
“Micromechanics informed alloy design: Overcoming scale-transition challenges” focuses on bridging scale gaps.