AI hallucinations produce confident but false outputs, undermining AI accuracy. Learn how generative AI risks arise and ways to improve reliability.

As artificial intelligence shifts from experimental demos to everyday products, the real pressure point is no longer training ...

For AI to truly be groundbreaking for neuroscience, Pavlick asserted, it is essential to understand how the machine itself ...

ALSO: Tom’s new book Artificial Intelligence for Urban Planning was recently published by Routledge. The book discusses how ...

What makes a large language model like Claude, Gemini or ChatGPT capable of producing text that feels so human? It’s a question that fascinates many but remains shrouded in technical complexity. Below ...

Whether AI models will become super-intelligent or not, the risks posed by them are already here, and not in the future, like ...

For the past few years, a single axiom has ruled the generative AI industry: if you want to build a state-of-the-art model, you need Nvidia GPUs. Specifically, thousands of H100s. That axiom just got ...

The history of genomics has long been a story of reading a book where only every fiftieth page made sense. While the Human ...

In our latest episode of Lexicon, we sat down with Vikhyat (“Vik”) Chaudhry, co-founder ...