NVIDIA's DGX Spark is a micro-desktop system designed to accelerate development of software that will be deployed on NVL72 and NVL144 rack systems featuring hundreds or thousands of NVIDIA GPUs. In ...

The Edge AI market is growing at 35% CAGR, driven by the demand for low-latency, high performance per watt local processing. Tokyo-based EdgeCortix’s “OS for Edge AI” combines a runtime-reconfigurable ...

This is important because: If AMD makes an INT8 path official, the upgrade lands on hardware people already own. That includes Xbox and portable PCs, where modest resolutions are common and every ...

Innovative companies are clobbering the competition by placing AI processing close to image capture. Will photography ever be the same? The latest AI imaging tools not only create a picture from a ...

Edge processing is redefining retail by moving video analytics from centralized servers to AI-enabled devices. This shift reduces infrastructure costs, enables real-time insights, and improves ...

UD's Signal and Image Processing Lab is designed to support graduate and undergraduate research in the areas of signal and image processing. The lab provides office space for graduate students and has ...

Numerical linear algebra for quaternions — fast, practical, and well‑tested. QuatIca was inspired by the pioneering work in quaternion linear algebra, particularly the QTFM (Quaternion Toolbox for ...

Abstract: Artificial intelligence (AI) on edge refers to combining edge computing and AI, and enjoys the benefit of distributed structure, intelligence, and timeliness. Specifically, natural language ...

Running Python scripts is one of the most common tasks in automation. However, managing dependencies across different systems can be challenging. That’s where Docker comes in. Docker lets you package ...