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 ...

OpenAI API costs can spiral when agents run wild. Here's how to set spend limits, enable hard caps, and avoid surprise AI ...

DSpark can make decoding faster, but acceptance quality still determines how much speed the system actually realizes.

AI agents can now buy, sign, build, publish and move money. What they can't carry is proof of who authorized the agent. "AI is making actions and content effortless to generate. Trust will come from ...

Financial Data and Technology Association (FDATA) is a North American industry association that’s been advocating for open ...

Google formalizes the "LLM Wiki" pattern with the Open Knowledge Format as an open standard for AI knowledge. Google Cloud has introduced Open Knowledge Format (OKF), an open specification designed to ...

We present HunyuanVideo, a novel open-source video foundation model that exhibits performance in video generation that is comparable to, if not superior to, leading closed-source models. In order to ...

Abstract: The adversarial example presents new security threats to trustworthy detection systems. In the context of evading dynamic detection based on API call sequences, a practical approach involves ...

Abstract: This article presents the design of an open-API-based explainable AI (XAI) service to provide feature contribution explanations for cloud AI services. Cloud AI services are widely used to ...

This repository is a collection of reference implementations for the Model Context Protocol (MCP), as well as references to community-built servers and additional resources. Important If you are ...