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 ...

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

FriendliAI also offers a unique take on the current memory crisis hitting the industry, especially as inference becomes the dominant AI use case. As recently explored by SDxCentral, 2026 is tipped to ...

Mozart AI raises $6 million led by Balderton Capital as the music creation startup launches a mobile app and scales its AI powered audio workstation for artists and producers.

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: ...

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 ...

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 ...

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

Titled AI Cap-and-Trade: Efficiency Incentives for Accessibility and Sustainability, the study proposes a market-based ...