Ten high-priority risks created by GPU clusters, multi-tenant AI workloads, and high-performance interconnects.

The cards support the massive data bandwidth of sensor fusion, radar processing, electro-optical and infrared sensors, fire ...

Google LiteRT.js, released July 9, 2026, brings native browser AI inference to web developers by compiling Google’s proven ...

Advanced Micro Devices faces pressure as semiconductor sentiment weakens amid AI spending concerns, geopolitical tension, and ...

Peking University researchers develop new all-optical interconnect system linking standard electronic chips with specific ...

Despite working in quantum computing for decades, Akira Furusawa, a professor at the University of Tokyo in Japan, has no idea what the quantum-computer era will look like. “It’s going to transform ...

The AI infrastructure build-out is projected to last through at least 2030.

The development of self-driving cars faces significant liability and regulatory challenges, unlike the unfulfilled promise of flying cars. Nvidia's Xinzhou Wu detailed the evolution of autonomous EVs, ...

AMD’s real AI threat to Nvidia may not be GPUs ...

For someone staring at ten thousand cards spread across a living room floor, it became something else entirely. The ...

Print Join the Discussion View in the ACM Digital Library Advances in sensor quality coupled with the widespread adoption of ...

These players have reported soaring revenue and have seen their stock performance take off, too. One particular company has ...