New framework combines Copilot, Claude, ChatGPT, Gemini, Perplexity, and multi-model LLMs to transform Power BI and ...

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.

Armada today announced the Armada Edge Platform will support NVIDIA AI Grid, enabling telecommunications operators, service providers, and enterprises to deploy, operate, and monetize geographically ...

First set out in a scientific paper last September, Pathway’s post-transformer architecture, BDH (Dragon hatchling), gives LLMs native reasoning powers with intrinsic memory mechanisms that support ...

The financial services industry has spent the better part of a decade trying to answer a deceptively straightforward question: how do you deploy AI at scale when the systems handling customer ...

The platform combines CPUs, GPUs, networking, interconnect, and data processing technologies into a unified system for large-scale AI workloads.

Microsoft combines accelerated computing with cloud scale engineering to bring advanced AI capabilities to our customers. For years, we’ve worked with NVIDIA to integrate hardware, software and ...

An international research team developed CyberSentry, a software framework using advanced deep learning and optimization techniques to enhance cybersecurity in SCADA systems for power plants and ...

Alvaro Garrido, COO, T&O and CIO for Information Security & Data at Standard Chartered, explains how telemetry and ML reshape ...

Researchers report that the integration of machine learning and Internet of Things (IoT) technologies is enabling a new generation of intelligent industrial environments capable of real-time ...

AI social networks are where agents can compound their capabilities and coordinate at scale—and in which humans can lose control.

As drone threats push detection ranges outward, C-UAS performance is increasingly decided at the limits of visibility—where ...