Neuroscientists have been trying to understand how the brain processes visual information for over a century. The development ...

I discuss what open-source means in the realm of AI and LLMs. There are efforts to devise open-source LLMs for mental health guidance. An AI Insider scoop.

DeepSeek's proposed "mHC" architecture could transform the training of large language models (LLMs) - the technology behind ...

Forbes contributors publish independent expert analyses and insights. Dr. Lance B. Eliot is a world-renowned AI scientist and consultant. In today’s column, I explore an intriguing new advancement for ...

A team of researchers at Penn State have devised a new, streamlined approach to designing metasurfaces, a class of engineered ...

The world of finance produces vast amounts of data, yet many types – such as text, audio, and image data – have historically been underutilized in financial modeling. Traditionally, stock prices are ...

The Chinese AI lab may have just found a way to train advanced LLMs in a manner that's practical and scalable, even for more cash-strapped developers.

A new study led by researchers from the Yunnan Observatories of the Chinese Academy of Sciences has developed a neural network-based method for large-scale celestial object classification, according ...

Large language models could transform digestive disorder management, but further RCTs are essential to validate their ...

The original version of this story appeared in Quanta Magazine. Large language models work well because they’re so large. The latest models from OpenAI, Meta, and DeepSeek use hundreds of billions of ...