Trunk Tools' stack cut document review from 60 days to 10 by ditching general-purpose models

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.

Physical AI Hits A Data Labeling Wall That Only Cash Can Fix

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 ...
Tech Times

Compile Once, Run Offline: New AI Method Matches 32B Models With a 23MB File

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

Waterloo's PAW compiles task specs into 23MB LoRA adapters a 600M-parameter model runs entirely offline.

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 ...

Changing AI math could reduce the hardware burden, researchers show

Sophisticated AI models tend to require a lot of memory and take up a lot of storage space. One of the ways to reduce that ...

Vexcel Brings Aerial Imagery and Geospatial Intelligence to AI Platforms

Vexcel today announced Vexcel Model Context Protocol (MCP), making Vexcel's aerial imagery and geospatial data directly ...
diginomica

From routing to reasoning - what it really takes to make AI work in enterprise software

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

A framework for operational autonomy: Integrating CloudOps, FinOps and AIOps

Operational autonomy is quickly becoming one of the defining capabilities of a modern enterprise. As digital estates become ...
HackerNoon

The Race to Build AI’s Context Layer Is Really About Meaning

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

New agentic memory framework uses 118K tokens per query. LangMem burns through 3.26M.

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

The next AI arms race isn't about models. It's about context

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 ...
Memeburn

Meta's Brain2Qwerty v2 Turns Brain Waves Into Text, No Implants

Meta released Brain2Qwerty v2, an AI system that decodes brain activity into typed sentences using external MEG sensors ...