As Enterprise AI matures from experimental chatbots to production-grade Agentic workflows, a silent infrastructure crisis is the VRAM bottleneck. Deploying a dedicated endpoint for every fine-tuned ...

Know how AI-agents in the grid optimize peer-to-peer pricing. Learn how automated trading bots within the energy stack ...

Reservoir computing is a promising machine learning-based approach for the analysis of data that changes over time, such as ...

Does cloud-free AI have the cutting-edge over data processing and storage on centralised, remote servers by providers like ...

What originated as a narrow procurement notice has grown into a broader effort that links machine-learning models with ...

The Unicity Labs team, which previously built and exited Guardtime, a cybersecurity infrastructure company, includes PhD researchers in distributed systems, cryptography, and machine learning. The ...

Abstract: Federated Learning (FL) is a popular distributed machine learning method that enables the development of a robust global model through decentralized computation and periodic model ...

CoreWeave’s ARENA enables production-scale AI workload validation on GPU clusters that mirror live infrastructure, giving enterprises empirical insight into performance, cost ...

By applying new methods of machine learning to quantum chemistry research, Heidelberg University scientists have made significant strides in computational chemistry. They have achieved a major ...

Membership Inference Authors, Creators & Presenters: Xinqian Wang (RMIT University), Xiaoning Liu (RMIT University), Shangqi ...

Membership Inference Authors, Creators & Presenters: Zitao Chen (University of British Columbia), Karthik Pattabiraman ...

NVIDIA AI‑Powered, Blockchain‑Native Trading Platform Designed to Bridge Traditional Finance and Crypto at Global Scale ...