For decades, scientists have looked to light as a way to speed up computing. Photonic neural networks—systems that use light instead of electricity to process information—promise faster speeds and ...

Researchers develop a hardware platform for AI accelerators that can handle increasing workloads while reducing energy use.

Optical systems can accelerate deep neural networks by encoding and processing data using light, which is also less energy intensive than digital computing. But researchers have struggled to maximize ...

Researchers are tackling key 6G challenges—from ultra-fast photonic AI for real-time RF processing to novel GaN amplifier behavior and ultra-compact phased-array packaging. Jun.

Scientists can now snap ultra-powerful laser pulses in one shot. RAVEN reveals distortions instantly, unlocking breakthroughs ...

Digging through IMS 2025’s technical sessions unearthed some insights into the microwave industry’s research inclinations, ...

Key Takeaways Sunday puzzle solving activates the same neural networks that made childhood rainbow spotting feel like ...

This review examines AI and ML's role in transforming thermoelectric materials design, focusing on defect engineering and ...

A team of researchers from APL and the Johns Hopkins Bloomberg School of Public Health is developing next-generation brain ...