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 ...

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.

Google-Tesla MagNet Challenge is an annual competition. It’s designed to accelerate innovation in magnetic modeling using artificial intelligence (AI). This article reviews some of the highlights from ...

The research introduces a novel memory architecture called MSA (Memory Sparse Attention). Through a combination of the Memory Sparse Attention mechanism, Document-wise RoPE for extreme context ...

AI labs and frontier model developers including Anthropic, Meta, Mistral AI and OpenAI are looking to use the NVIDIA Vera Rubin platform to train larger, more capable models and to serve long-context, ...

The global shift toward industrial automation and the rapid integration of renewable energy sources have fundamentally transformed the requirements for modern power distribution networks. As grids ...

A parliamentary panel urges DIPAM to adopt a golden share model to retain PSU control as government stakes potentially drop ...

NVIDIA today announced the NVIDIA Vera Rubin platform is opening the next frontier of agentic AI, with seven new chips now in full production. They are: the NVIDIA Vera CPU, NVIDIA Rubin GPU, NVIDIA ...

Shallem, Greg Ravikovich and Eitan Har-Shoshanim examine how AI addresses the challenge of data overload in solar PV.

Microsoft-Backed Pulse Convert Emerges as Industry Standard Tableau to Power BI Migration Accelerator for Enterprises ...

Kioxia announced the development of Super High IOPS SSD, new type of SSD enabling the GPU to directly access high-speed flash ...