Overview: AI skills in 2026 require both technical understanding and the ability to apply them responsibly at work.Machine ...

Nvidia's 600,000-part systems and global supply chain make it the only viable choice for trillion-dollar AI buildouts.

At the core of every AI coding agent is a technology called a large language model (LLM), which is a type of neural network ...

The Groq deal underscores Nvidia’s push to strengthen its position in AI inference, a faster-growing, more recurring-revenue ...

Meta's reported partnership with Google for AI training on TPUs has cost Nvidia billions, impacting its market value. This ...

Introduction Atrial fibrillation (AF) is the leading cause of cardioembolic stroke and is associated with increased stroke severity and fatality. Early identification of AF is essential for adequate ...

In 2023, OpenAI trained GPT-4 on Microsoft Azure AI supercomputers using tens of thousands of tightly interconnected NVIDIA GPUs optimized for massive-scale distributed training. This scale ...

AI is everywhere, but just how useful is it for triathletes? Charlie Allenby puts one of the latest AI-based training tools ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

Meta released details about its Generative Ads Model (GEM), a foundation model designed to improve ads recommendation across ...

Beijing's Humanoid Robot Data Training Center has been training robots for work using simulations of industrial and daily ...

Step aside, LLMs. The next big step for AI is learning, reconstructing and simulating the dynamics of the real world.