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

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 ...

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.

Ask an AI model to analyse a photograph and it might tell you it contains a person standing under a tree near the ocean on a ...

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

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

As a result, researchers are exploring ways to embed better logic into AI. The goal isn’t so much to make LLMs smarter; it’s ...

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

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

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.

Abstract: Several research works have been proposed to evaluate the robustness of deep-learning-based semantic segmentation models for automated driving under adversarial attacks. However, the types ...