GPU-based sorting algorithms have emerged as a crucial area of research due to their ability to harness the immense parallel processing power inherent in modern graphics processing units. By ...

AI hardware needs to become more brain-like to meet the growing energy demands of real-world applications, according to researchers. In a study published in Frontiers in Science, scientists from ...

The growth and impact of artificial intelligence are limited by the power and energy that it takes to train machine learning ...

Much attention has been focused in the news on the useful life of graphics processing units, the dominant chips for artificial intelligence. Though the pervasive narrative suggests GPUs have a short ...

What if the key to unlocking faster, more efficient AI development wasn’t just in the algorithms you write, but in the hardware you choose? For years, the debate between Google’s Tensor Processing ...

Decentralized artificial intelligence has a lot of ground to make up if it wants to compete with centralized AI providers such as OpenAI Group PBC and Google Cloud, but it’s getting a big boost today ...

Shashank is the Chief AI Officer at MooresLab AI, where he helps chip companies leverage Agentic AI to accelerate silicon engineering tasks. From training large language models with hundreds of ...