Efficient SLM Edge Inference via Outlier-Aware Quantization and Emergent Memories Co-Design” was published by researchers at University of California San Diego and San Diego State University. Abstract ...

Industry 4.0 depends on continuous data exchange between sensors, machines, production lines, and enterprise systems, but much of this data cannot be centralized due to privacy, security, and ...

Mozart AI raises $6 million led by Balderton Capital as the music creation startup launches a mobile app and scales its AI ...

FriendliAI also offers a unique take on the current memory crisis hitting the industry, especially as inference becomes the ...

For customers who must run high-performance AI workloads cost-effectively at scale, neoclouds provide a truly purpose-built ...

OpenClaw turns LLMs into autonomous agents that actually do stuff. Here is a hands-on reality check of running it on local hardware and burner phones.

At the end of 2025, the Institute of Artificial Intelligence of China Telecom (TeleAI), announced a major breakthrough: ...

Edge AI addresses high-performance, low-latency requirements by embedding intelligence directly into industrial devices.

Ready to solder? This audio series delivers easy-to-build DIY circuits, beginner-friendly components, just enough electronics ...

Every ChatGPT query, every AI agent action, every generated video is based on inference. Training a model is a one-time ...

HPC data centers solved many of the technical challenges AI now faces: low-latency interconnects, advanced scheduling, liquid cooling, and CFD -based thermal modeling. AI data centers extend these ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...