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.

TCS recently announced its partnership with Anthropic the frontier AI firm behind Claude. The plan is that by combining ...

Norton just plugged its "Genie" scam detector directly into Claude and ChatGPT, giving both a layer of real threat ...

TuxMat floor mats deliver better-than-factory coverage and elite fit by going further than anyone else in product development ...

China should not try to copy SpaceX despite the US company’s successful IPO, a leading economist has said. The company raised US$75 billion when it went public on Friday and made its chief executive ...

In the Chinese province of Xinjiang, the Uyghur ethnic minority faces mass detention and forced labor. The CCP has woven databases, cameras and detention centers together to create a massive network ...

Usually, our applications operate with the current state of a domain object. But sometimes, we need to know the entire history of the domain object changes. For example, we want to know how an order ...

Abstract: For systems subject to unbalanced faults, analytical model building for stability assessment is a challenging task. This letter presents a straightforward ...

The Department of National Defence and Canadian Armed Forces (DND/CAF) are seeking innovative AI (Artificial Intelligence)-driven solutions that fuse heterogeneous multi-domain data streams to provide ...

Green Valley’s newest art space is preparing to open to the public with a outdoor market featuring creative activities and artwork for sale. SPARK! is expected to return on the first Sunday of every ...