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.

This valuable study provides a practical computational framework for inferring latent neural states directly from calcium fluorescence recordings, bypassing the traditional need for a separate spike ...

Having personally tested the best robot vacuums from Shark against other big brands like Roborock, Dreame, and Eufy (plus a ton of Roombas), I've learned firsthand the pros and cons of getting a Shark ...

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

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

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

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

Another day, and another artificial intelligence chipmaker is raking in millions of dollars in funding. Today it’s a startup ...

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

Researchers from the Faculty of Engineering at The University of Hong Kong (HKU) have made a significant discovery regarding ...

OLED vs AMOLED explained clearly, comparing brightness, contrast, power, and performance to help you choose the right display ...