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 ...

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

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

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 ...

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 ...

A new study published in Nature Human Behaviour provides evidence that generative artificial intelligence models exhibit distinct cultural tendencies depending on the language in which they are ...

Render Network Foundation director says he is bullish on DePIN sector because of rising AI demand.

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

Nvidia launches three free AI weather models running 1,000x faster than traditional forecasting for insurance and climate ...