Noting that the amount of computational power needed to sustain AI’s growth is doubling every 100 days, the World Economic Forum warns that training OpenAI’s GPT-3 genAI system used around 1300MWh of ...

A new report suggests OpenAI, Google, and Anthropic have encountered critical issues, including a lack of high-quality ...

AMD is regarded as the closest rival to Nvidia in the lucrative market for chips that form the brains of complex data centers ...

Across every industry, AI is creating a fundamental shift in what’s possible, enabling new use cases and driving business ...

Apple has found an ingenious way to monetize its new Apple Intelligence service without charging a dime, thanks to its ...

In addition, GPUs are used for AI and supercomputer workloads, and high-end processors from companies like AMD or Nvidia can cost $10,000–$30,000 or more. Demand for these units is increasing rapidly.

The tools Glaze and Nightshade are giving artists hope that they can fight back against AI that hoovers internet data to train. Are they enough?

In February, during a three-month stint as OpenAI’s first artist in residence, Alexander Reben gained early access to the ...

In the rapidly evolving world of AI image generation, finding a cost-effective solution that delivers high-quality results ...

Update: The story was updated to note that iRAG is a different type of text-to-image generation technology and that Miaoda is ...