Chief Executive Alex Karp’s recent broadside against the frontier model vendors put a knife to the throat of the central ...

General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

Latest AI mystery is that there are 11 specific nouns used frequently by LLMs when creating short stories. Why those words?

Physical AI raised $10B+ in 2025, but robots still train on under 5,000 hours of real-world data. Who's funding the race to ...

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 ...

The funding round was led by Norwest, with participation S Capital VC, Cerca Partners, and Oceans Ventures. Snowflake Ventures also participated as a strategic investor.

Unit4's Claus Jepsen on why semantic layers, deterministic guardrails, and vertical depth are what it takes to move from a ...

Language-Specific Hardware: At the single-neuron level inside the hippocampus, individual cells are largely language-specific ...

NUS researchers' MRAgent framework reduces LLM agent memory retrieval to 118K tokens per query — vs. 3.26M for LangMem — ...

I've spent the last year pressing vendors on the problem of context. AI agents need more: they need real-time organization ...

Cognite's Integrated Supply Chain offering extends the Cognite AI and Data Platform beyond the plant, equipping teams with real-time visibility, insights, and ...