Artificial Intelligence

Mathematical simulations show the new approach may offer faster, cheaper, and more accurate detection, including identifying new variants.

Reversible system can flip the magnetic orientation of particles with a small voltage; could lead to faster data storage and smaller sensors.

Pictures of the boiling surfaces taken using a Scanning Electron Microscope: ITO (top left), copper oxide nanoleaves (top right), zinc oxide nanowires (bottom left), and porous coating of silicon dioxide nanoparticles obtained by Layer-by-Layer deposition (bottom right). Boiling is not just for...

NSE faculty, alums discussed benefits and challenges of MIT–industry research collaborations targeting technologies to reduce greenhouse gas emissions at a recent MIT symposium on climate action.

In a September 2020 essay in Nature Energy, three scientists posed several “grand challenges” — one of which was to find suitable materials for thermal energy storage devices that could be used in concert with solar energy systems. Fortuitously, Mingda Li —...

“I had always expected I’d stay at MIT for the four years, get my undergraduate degree at the end and probably return to the UK.” Richard Ibekwe recalls his early assumptions about his academic path at MIT. Now he is a nuclear...

Koroush Shirvan, Ben Forget and other MIT researchers show that deep reinforcement learning can be used to design more efficient nuclear reactors.

The reusable mask would include a heated copper mesh that’s powered by a battery and surrounded by insulating neoprene.

MIT team has made strides toward a system, which uses physical, analog devices that can much more efficiently mimic the brain’s learning process, for neural network AI systems.

Issac Wolverton explored the use of AI to redesign the reactor core to more efficient.