AI stirs up the recipe for concrete in MIT study
With demand for cement alternatives rising, an MIT team uses machine learning to hunt for new ingredients across the scientific literature.
With demand for cement alternatives rising, an MIT team uses machine learning to hunt for new ingredients across the scientific literature.
In an annual tradition, MIT affiliates embarked on a trip to Washington to explore federal lawmaking and advocate for science policy.
SketchAgent, a drawing system developed by MIT CSAIL researchers, sketches up concepts stroke-by-stroke, teaching language models to visually express concepts on their own and collaborate with humans.
The fellowships recognize doctoral students who have “the extraordinary creativity and principled leadership necessary to tackle problems others can’t solve.”
Courses on developing AI models for health care need to focus more on identifying and addressing bias, says Leo Anthony Celi.
Researchers redesign a compact RNA-guided enzyme from bacteria, making it an efficient editor of human DNA.
PhD student Sarah Alnegheimish wants to make machine learning systems accessible.
2.797/2.798 (Molecular Cellular and Tissue Biomechanics) explores the intersection of mechanics and biology.
Researchers also found these effects can be reversed by treatment with an antioxidant.
Ananda Santos Figueiredo, a senior in climate system science and engineering, is charting her own course of impact.
These devices could pack three times as much energy per pound as today’s best EV batteries, offering a lightweight option for powering trucks, planes, or ships.
MIT researchers developed a new model of memory that includes critical contributions from astrocytes, a class of brain cells.
MIT senior Maria Aguiar loves everything about materials science — but has a soft spot for garnet thin films, the focus of her undergraduate research.
MIT researchers’ new membrane separates different types of fuel based on their molecular size, eliminating the need for energy-intensive crude oil distillation.
This new machine-learning model can match corresponding audio and visual data, which could someday help robots interact in the real world.