Solving complex optimization problems is central to many modern technologies, from logistics and financial modeling to chip ...

Abstract: Recent applications in low-power (1-20 mW) near-sensor computing require the adoption of floating-point arithmetic to reconcile high precision results with a wide dynamic range. In this ...

Daisy-chaining two of Dell's Nvidia GB10 DGX Spark systems didn't just pump up my home AI lab—it fundamentally changed how I ...

Nexaryon Inc. today announced the launch of its enterprise AI computing infrastructure platform, alongside its expansion into the Latin American market. The platform is designed for enterprise ...

Abstract: Many-core architecture is a promising architecture to accelerate increasingly larger neural networks (NNs). Most many-core architectures couple a standalone CPU core and a tensor core ...

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...

Anthropic launched Claude Science, an AI workbench connecting 60+ scientific databases. Here's how it compares to OpenAI's ...

A privacy-preserving marketing framework applies homomorphic encryption to perform machine learning on encrypted ...

AMD EPYC is poised for the AI CPU supercycle, powering inference and agentic AI with strong TCO and efficiency—alongside Instinct & Helios. Click for this update.

On June 29, the government and industry unveiled a mega-project plan centered on semiconductors, physical artificial ...

Industry, academia, research institutions and government officials have called for sweeping deregulation and tailored living ...

In an era marked by geopolitical tensions, climate change, economic uncertainty and rapid technological disruption, global ...