MIT physicists have detected another kind of hybrid particle in an unusual, two-dimensional magnetic material. They determined that the hybrid particle is a mashup of an electron and a phonon (a quasiparticle that is produced from a material’s vibrating atoms). When they measured the force between the electron and phonon, they found that the glue, or bond, was 10 times stronger than any other electron-phonon hybrid known to date.

Using a new robotic platform, researchers can simultaneously track hundreds of microbial populations as they evolve new proteins or other molecules.

The rechargeable battery can be woven and washed, and could provide power for fiber-based electronic devices and sensors.

To help clinicians avoid remedies that may potentially contribute to a patient’s death, researchers at MIT and elsewhere have developed a machine-learning model that could be used to identify treatments that pose a higher risk than other options.

The new machine-learning system can generate a 3D scene from an image about 15,000 times faster than other methods.

A deep learning model rapidly predicts the 3D shapes of drug-like molecules, which could accelerate the process of discovering new medicines.

Alumnus-founded Fitnescity makes it easier for users to schedule health tests, work with physicians, and interpret results.

Sometimes, software is just like us. It can be bloated, slow, and messy. Humans might see a doctor if these symptoms persist (maybe not for messiness), but rarely do we push a flawed software program to go see its developer time and time again.

A new machine-learning model could enable robots to understand interactions in the world in the way humans do.

A trio of researchers that includes William Kuszmaul — a computer science PhD student at MIT — has made a discovery that could lead to more efficient data storage and retrieval in computers.