Turn one idea into 50 pieces of content using AI. Extract key points, create format matrices, generate variations, build ...

The report didn’t specify the valuation that FuriosaAI is expected to receive. The company was worth $735 million as of July, ...

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

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.

AMD researchers argue that, while algorithms like the Ozaki scheme merit investigation, they're still not ready for prime ...

去年7月，FlashAttention-2发布，相比第一代实现了2倍的速度提升，比PyTorch上的标准注意力操作快5～9倍，达到A100上理论最大FLOPS的50～73%，实际训练速度可达225 TFLOPS（模型FLOPs利用率为72%）。

A novel stacked memristor architecture performs Euclidean distance calculations directly within memory, enabling ...

Given the rapidly evolving landscape of Artificial Intelligence, one of the biggest hurdles tech leaders often come across is ...

Local AI concurrency perfromace testing at scale across Mac Studio M3 Ultra, NVIDIA DGX Spark, and other AI hardware that handles load ...