Neurophos is taking a crack at solving the AI industry's power efficiency problem with an optical chip that uses a composite material to do the math required in AI inferencing tasks.

Hardware fragmentation remains a persistent bottleneck for deep learning engineers seeking consistent performance.

A new OLED design can stretch dramatically while staying bright, solving a problem that has long limited flexible displays.

Jiahao Wang (Shandong University), Guoming Zhang (Shandong University), Yanni Yang (Shandong University), Riccardo Spolaor ...

A new chip aims to dramatically reduce energy consumption while accelerating the processing of large amounts of data.

For most people, solving a problem is the reward—the relief of being done, the achievement of having figured it out.

Thermo-compression processing optimizes Cu/SiC composites, improving strength and toughness by improving particle ...

A hundred years ago, quantum mechanics was a radical theory that baffled even the brightest minds. Today, it's the backbone ...

Humaniz, the real estate industry’s leading AI-powered recruiting and team management software, today announced plans to ...

As a fan of the genre, I can confirm that sci-fi classics like The Matrix, Interstellar and Inception reward endless repeat ...

As AI presentation tools have become widely available, generating slides has become fast and easy. However, many ...

Learn how simple online tools are helping people understand performance, habits, and personal patterns through easy tracking, ...