Artificial intelligence is starting to do more than transcribe what we say. By learning to read the brain’s own electrical chatter, it is beginning to expose the hidden steps our neurons take as they ...

A research team from the Songshan Lake Materials Laboratory has developed an AI-guided "Recommendation System" to discover ...

The human brain processes spoken language in a step-by-step sequence that closely matches how large language models transform ...

Researchers are edging closer to experiments that claim to supply artificial intelligence with a missing ingredient for ...

Kneron, a San Diego-based company developing neural processing units (NPUs) for AI, today announced its KL1140 chip. It is - Read more from Inside HPC & AI News.

“The KL1140 is our response to the challenges of scaling LLMs in the cloud alone,” said founder and Chief Executice Albert Liu. “By running advanced models at the edge, we’re achieving a technical ...

TPUs are Google’s specialized ASICs built exclusively for accelerating tensor-heavy matrix multiplication used in deep learning models. TPUs use vast parallelism and matrix multiply units (MXUs) to ...

When engineers build AI language models like GPT-5 from training data, at least two major processing features emerge: memorization (reciting exact text they’ve seen before, like famous quotes or ...

BOULDER, CO / ACCESS Newswire / October 21, 2025 / New Hope Network, the leading authority on natural and organic products, today announced its highly anticipated list of 10 natural product trends set ...

The grounds of the Natural History Museum (NHM) in London have undergone a complete transformation in recent years, which has served to ensure that visitors are fully immersed in the wonders of the ...

Molecular circuits capable of autonomous learning could unlock novel applications in fields such as bioengineering and synthetic biology. To this end, existing chemical implementations of neural ...

ABSTRACT: Since transformer-based language models were introduced in 2017, they have been shown to be extraordinarily effective across a variety of NLP tasks including but not limited to language ...