MIT researchers developed a photon-shuttling “interconnect” that can facilitate remote entanglement, a key step toward a practical quantum computer.

Researchers fuse the best of two popular methods to create an image generator that uses less energy and can run locally on a laptop or smartphone.

A new AI weather prediction system, developed by researchers from the University of Cambridge, can deliver accurate forecasts tens of times faster and using

“Xstrings” method enables users to produce cable-driven objects, automatically assemble bionic robots, sculptures, and dynamic fashion designs.

MIT engineers developed a way to grow artificial tissues that look and act like their natural counterparts.

When a spacecraft is too far from the Sun to use solar panels, it needs a different reliable source of power.

The Exo 2 programming language enables reusable scheduling libraries external to compilers.

President Trump’s national energy emergency declaration does not qualify as an emergency that would exempt energy projects from environmental laws and regulations.

A new, highly efficient process for performing this conversion could make it easier to develop therapies for spinal cord injuries or diseases like ALS.

A University of Cambridge spin-out company working to improve AI efficiency and bandwidth has raised €25 million in new funding.