Modern edge devices demand heterogeneous AI architectures that can mix and match subsystems to accelerate different aspects ...

As vision-centric large language models move on-device, performance measured in raw TOPS is no longer enough. Architectures need to be built around real workloads, memory behavior, and sustained ...

Researchers who found the bug warn that its Moderate rating understates a threat reaching across LLM gateways, MCP servers ...

Turning my old GPU into an LLM-hosting behemoth was the best decision ever ...

Many companies expand internationally by duplicating their U.S. website, translating the language, and keeping the same architecture, navigation, and content structure across markets. Then performance ...

Large language models (LLMs), which are the artificial intelligence (AI) systems behind modern chatbots, translation tools, ...

Imagine working at a warehouse or office sometime in the near future, and you're asked to help a new trainee learn the basics ...

Here is how the prefill versus generation split exposes GPU structural inefficiencies in AI processor designs.

State control of the media is shown to alter the training data of large language models (LLMs) through its impact on the information environment. This has a substantial effect on the output of LLMs, ...

Aaron Erickson discusses the evolution of AI workflows, shifting from "vibe checking" to building reliable, multi-agent ...

AI writing tools are supercharging scientific productivity, with researchers posting up to 50% more papers after adopting them. The biggest beneficiaries are scientists who don’t speak English as a ...