More efficient AI training approaches could reduce data center power requirements, make AI modelling more accessible and increase data storage and memory demand.

Startup trading platforms seek to capitalize on AI’s need for vast amounts of processing capacity.

Artificial intelligence (AI) is everywhere—from the chatbots we consult for customer support to tools predicting how diseases ...

Standardising analytical data is the key to unlocking AI-driven innovation in chemical and pharmaceutical research. Richard Lee, Director, Core Technology and Capabilities at ACD/Labs explores how ...

The AI revolution has ushered in an era of exponential power and energy consumption. According to the US Department of Energy ...

Applied Digital is working with Nvidia to deliver the affordable, high-performance computing required to build the AI factory of tomorrow.

OpenAI, Meta, Google, and Anthropic are in an arms race to build the most powerful AI models. Every new release—from DeepSeek’s open-source model to the latest GPT update—is treated like AI’s next ...

Artificial intelligence (AI) has emerged as one of the most transformative technologies of our time. Its roots can be traced ...

OORT, a rising player in the cloud computing space, thinks it has a solution: harness the power of decentralized networks to ...

Some investors are betting that the artificial-intelligence revolution of the 21st century will give rise to a huge, actively traded market for computing power, the same way that global energy ...

Some investors are betting that the artificial-intelligence revolution ... Wilson has invested in Silicon Data, a startup that researches the market for computing power. Silicon Data aims to ...