The new method uses a geometry-driven sampling strategy to preserve curvature information and feed it into the network’s attention mechanism.

The Atlas will expand known evolutionary genetic diversity by 100x, collecting novel genomic data from over 100 million new ...

At AI World in Frankfurt, Oracle presented plans for a distributed, sovereign, and AI-capable cloud infrastructure.

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

Hammerspace Inc., an eight-year-old startup that provides high-speed access to distributed data, has introduced an artificial ...

Functional connectivity reveals brain attractors that match predictions of free‑energy‑minimizing attractor theory, yielding an interpretable generative model of brain dynamics in rest, task, and ...

As grids become more distributed, more software-defined and more autonomous, security must evolve accordingly.

Ask a pharma commercial team where lung cancer patients are treated in France and most will point to major academic centres such as Gustave Roussy, Institut Curie, or the Assistance Publique network ...

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.

Voxelmaps and NVIDIA partner to give city teams real-time 3D visibility into streets, infrastructure, and urban change ...

Akamai integrates NVIDIA AI Grid into its network to support real-time AI workloads, combining edge and cloud infrastructure for scalable inference.