General-purpose models struggle with messy, industry-specific data. A three-layer AI stack from Trunk Tools cut document review cycles from 60 days to 10.
Unit4's Claus Jepsen on why semantic layers, deterministic guardrails, and vertical depth are what it takes to move from a ...
Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...
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.
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 — ...
During a live sporting event, production teams, commentators, operators and increasingly AI-driven systems all react ...
Cognite's Integrated Supply Chain offering extends the Cognite AI and Data Platform beyond the plant, equipping teams with real-time visibility, insights, and ...
I've spent the last year pressing vendors on the problem of context. AI agents need more: they need real-time organization ...
Context graphs, graph memory, and ontologies for AI are converging. What does this mean for enterprise AI in 2026?
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