ATRIMED today shared an update on a long running research effort led in part by physician scientist Dr. Latha Damle, whose work alongside her husband and research partner, Dr. Damle, has helped build ...

In-network computing is not new to this iteration of Nvidia’s architecture. In fact, it has been in common use since around ...

As artificial intelligence models are increasingly applied to macroeconomic data, on-chain behavior, and market cycle ...

Sustainable success depends less on geography and more on how talent is onboarded, managed and empowered to contribute ...

CES 2026 shows a company that understands the direction of intelligent vehicles and is positioning itself directly in the ...

Generative AI is fueling accelerated growth in worldwide computing power requirements, yet the industry encounters ...

Abstract: Over the past few years especially in the context of communication and information processing the importance of Natural language processing which demands efficient deep learning models has ...

The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.

Latency issues with cloud: AI often demands near-zero latency to deliver actions. "Applications requiring response times of 10 milliseconds or below cannot tolerate the inherent delays of cloud-based ...

Traditional cloud architectures are buckling under the weight of generative AI. To move from pilots to production, ...

Abstract: In Vehicular Edge Computing (VEC), apart from the Road Side Units (RSUs) that can undertake the computation, smart vehicles that incorporate high-end multi-core processors into On-Board ...

San Jose, CA October 31, 2025 –(PR.com)– As artificial intelligence reshapes industries from chipmaking to finance, organizations are increasingly focused on how to participate in the AI economy.