AWS, Cisco, CoreWeave, Nutanix and more make the inference case as hyperscalers, neoclouds, open clouds, and storage go ...

Here are a few ways the Raspberry Pi outperforms desktops and laptops, from tiny power draw to safe sandboxes for ambitious ...

Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...

Discover the 10 best Infrastructure as Code (IaC) tools for DevOps teams in 2025. Learn how these tools enhance automation, stability, and scalability in cloud environments. Improve your deployment ...

RDMA via Thunderbolt 5 brings 10x faster links for Apple Silicon clusters, helping you run larger AI models on affordable M4 ...

Aaron Erickson at QCon AI NYC 2025 emphasized treating agentic AI as an engineering challenge, focusing on reliability ...

ABSTRACT: This paper explores the application of various time series prediction models to forecast graphical processing unit (GPU) utilization and power draw for machine learning applications using ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational model that could expedite the use of nanomaterials in biomedical applications.

EPFL researchers have developed new software—now spun-off into a start-up—that eliminates the need for data to be sent to third-party cloud services when AI is used to complete a task. This could ...

India has emerged as one of the world’s most dynamic and rapidly advancing centers for machine learning (ML)–enabled scientific research, according to the newly released <a href= ...

Microsoft’s second Fairwater campus in Atlanta showcases a new model for AI infrastructure, linking mega-sites into a unified, high-performance supercomputer capable of training and serving frontier ...