At the turn of the 20th century, a famous horse named Clever Hans toured Germany. The horse stunned crowds as his trainer demonstrated the animal's alleged ability to understand German, tell time and ...

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. It’s very easy to misread and overestimate achievements in artificial ...

Science shows that dogs learn to form mental representations of words, shedding light on why they often seem to grasp our conversations. Nothing quite captures the heart like videos of dogs appearing ...

Ph.D. candidate Yuchen Lian (LIACS) wants to understand why human languages look the way they do—and find inspiration to improve AI along the way. She defended her thesis on 12 December.

Interhuman AI, a generative artificial intelligence company researching how to make AI models more socially intelligent, today announced it has raised €2 million, about $2.3 million, in a pre-seed ...

Veena D. Dwivedi receives funding from the Canada Foundation for Innovation, the Social Sciences and Humanities Research Council of Canada, and Brock University. Brock University provides funding as a ...

While we’d like to think that we intuitively understand language (we are after all, the “creators” of language), an analysis of how LLMs apparently “create” “meaning” suggests otherwise. Understanding ...

Large language models (LLMs) deliver impressive results, but are they truly capable of reaching or surpassing human ...

The AI craze has hit researchers trying to understand how our brains process language. The latest technique is to try and link the output of Large Language Models (or LLMs like ChatGPT) to the brain ...

In a break from our normal practice, Ars is publishing this helpful guide to knowing how to prompt the "human brain," should you encounter one during your daily routine. Human prompt engineering is an ...