Microsoft Azure and University of Texas researchers found that multi-step AI workflows create CPU-GPU bottlenecks that conventional inference infrastructure struggles to handle efficiently.

I ran a dumpstate analysis on my Samsung phone and found 3 useful system diagnostics ...

D-Wave's massive January acquisition of Quantum Circuits is paying off: way better error correction, making quantum computing ...

Patch notes that the system needs a way to properly identify these low-power cores in user space, since they currently show ...

When it comes to a new MacBook, so long as your hardware needs to don't change and you treat it well, the device should last ...

Dumanshu Goyal discusses optimizing data layers for low-latency workloads like AI feature stores. Drawing lessons from NASA's Space Shuttle, he explains how proxy architectures introduce hidden CPU ...

Cloudflare recently introduced Meerkat, an internal globally consistent control-plane service based on the QuePaxa consensus ...

The intelligent compute experience becomes real and tangible. That is agentic AI. The applications arriving on PCs with Snapdragon X Series — purpose-built for the agentic AI era and a key node in an ...

Monitoring AI agents in production is a fundamentally different problem from monitoring traditional software or even ...

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Excessive temperatures are unhealthy -- for your computer too. So why not carry out a thorough heat check on your PC and ...

Let's start with the hardware you interact with the most - the display. The device features a slightly larger 1.52-inch OLED ...