Arteris stands out in the semiconductor industry with growth, efficiency, and upside potential. Click here to find out why ...

K machine promises performance that can scale to 32 chip servers and beyond but immature stack makes harnessing compute ...

Feature Remember when high-performance computing always seemed to be about x86? Exactly a decade ago, almost nine in ten ...

Particle accelerators are often framed as exotic machines built only to chase obscure particles, but they are really ...

The MacBook Pro has long been the machine creative professionals and power users reach for when they need serious performance. Apple just released the M5 chip a few weeks ago to replace the M4 and ...

The gap between Gemini 2.5 Pro's debut at Google I/O in May and Gemini 3's arrival in November felt significant, especially given the rapid pace of AI development across the industry. When the topic ...

Particle accelerators have been responsible for revolutionary scientific breakthroughs, but the tech behind them isn't as ...

Nvidia (NVDA) shares erased their losses on Friday and turned higher after Bloomberg reported the Trump Administration has ...

Nvidia CEO Jensen Huang took on the popular question of whether his company is at the center of an AI bubble Wednesday and ...

Machine learning researchers using MLX will benefit from speed improvements in macOS Tahoe 26.2, including support for the M5 GPU-based neural accelerators and Thunderbolt 5 clustering.

Industrial automation is entering a new era with physical AI, where machine learning meets real-world motion control.

As data center infrastructures adapt to evolving workloads, parts of Ethernet can be found in scale-up approaches.