New hardware offers faster computation for artificial intelligence, with much less energy
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
Engineers working on “analog deep learning” have found a way to propel protons through solids at unprecedented speeds.
Cheap and quick to produce, these digitally manufactured plasma sensors could help scientists predict the weather or study climate change.
Researchers have found a material that can perform much better than silicon. The next step is finding practical and economic ways to make it.
The findings of a large-scale screen could help researchers design nanoparticles that target specific types of cancer.
This family of crystalline compounds is at the forefront of research seeking alternatives to silicon.
Systems used in many industries could save energy through these new surface treatments.
The findings could inform the design of practical superconducting devices.
MIT engineers expand the capabilities of these ultrasensitive nanoscale detectors, with potential uses for quantum computing and biological sensing.
Inspired by fireflies, researchers create insect-scale robots that can emit light when they fly, which enables motion tracking and communication.
Institute Professor honored for groundbreaking work in nucleic acid delivery and nanoparticles.
Using this diagnostic, doctors could avoid prescribing antibiotics in cases where they won’t be effective.
Tested using a new brain tissue model, the particles may be able to deliver chemotherapy drugs for glioblastoma.
The advance allows the particles to be placed deeper within biological tissue, which could aid with cancer diagnosis or monitoring.
Study shows what happens when crystalline grains in metals reform at nanometer scales, improving metal properties.
Global Semiconductor Alliance’s Women’s Leadership Initiative highlights career opportunities for women in hard technology.