The rise of AI has brought an avalanche of new terms and slang. Here is a glossary with definitions of some of the most ...

Abstract: Equality-constrained quadratic programming (QP) has been one of the most basic and typical problems in the Internet of Things domain. In big data scenarios, how to quickly and accurately ...

OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, ...

OpenAI inference cost reduction cut ChatGPT guest traffic from tens of thousands of Nvidia GPUs to just a couple hundred, using software optimization alone. Engineers achieved more than 50% savings ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2, 2026, a system that compiles any natural-language task spec into a 23MB ...

While a patient is fully anesthetized and unresponsive, neurons in the hippocampus continue to process language, distinguish different types of words, and generate neural activity consistent with ...

NVIDIA diffusion language model Nemotron TwoTower achieves 2.42x LLM inference throughput without a full retraining run, ...

AMD EPYC is poised for the AI CPU supercycle, powering inference and agentic AI with strong TCO and efficiency—alongside Instinct & Helios. Click for this update.

AINewsWire Editorial Coverage: The semiconductor industry is in the middle of a historic reorientation. Vast sums of new investment capital are moving ...

Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?

Daisy-chaining two of Dell's Nvidia GB10 DGX Spark systems didn't just pump up my home AI lab—it fundamentally changed how I ...

What happens when we die? It's one of the single greatest questions in the history of humankind, silently driving science and ...