Abstract: The ubiquity of embedded systems of increasing complexity in domains like scientific computing requires computation on models whose complexity has grown beyond what is economical to manage ...

Abstract: Point cloud registration is a key computer vision task that must be solved in most modern pipelines for 3-D data processing. Iterative Closest Point (ICP) algorithms are one of the most ...

We're just scratching the surface of what the innovative collaboration between human astronomers and AI can unlock.

Updated workflow connects high-level modeling and NVIDIA CUDA-Q execution to shorten iteration cycles in hybrid HPC and quantum environments -- Productivity -- An accelerated end-to-end path from high ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...

One of the biggest promises of quantum computing is the ability to simulate molecules ...

New research from the Complexity Science Hub (CSH) shows why widely used algorithms for measuring economic complexity produce trustworthy results and how these tools may benefit diverse areas such as ...

A team led by Northwestern University’s Sam Kriegman built an AI system that designed a walking robot from scratch in seconds, then manufactured the result and watched it move across a lab bench. The ...

Nautilus debuted its platform at the US HUPO meeting last month and is seeking additional participants for its ongoing early access program.

When natural disasters or extreme weather events hit, delivering aid quickly and efficiently to those affected is crucial. Humanitarian relief efforts commonly rely on the combination of trucks and ...

The successful implementation of the specialized iQCC algorithm on a single NVIDIA Blackwell GPU establishes a new standard ...

Please tell us about Rosenblatt’s trading desk. How is it structured and what makes it unique? Since our founding 46 years ...