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.

To empower young innovators, ignite creativity, and translate bold ideas into technology-driven, real-world solutions, ...

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

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

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

Learn a step-by-step system to solve almost any circuit question, from basic resistor networks to multi-loop and node-voltage problems. This video breaks down a repeatable method—identifying ...

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

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

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

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

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