What Is Natural Language Understanding? Natural language understanding (NLU) is a branch of AI that focusses on enabling computers to understand human language in the same way humans do. It’s a ...

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 ...

Spoken language understanding (SLU) and dialogue systems form the backbone of interactive computing, enabling machines to interpret, process, and respond to human speech. These systems integrate ...

Add Yahoo as a preferred source to see more of our stories on Google. Is living in a language-rich world enough to teach a child grammatical language? kate_sept2004/E+ via Getty Images Unlike the ...

“Sparks of artificial general intelligence,” “near-human levels of comprehension,” “top-tier reasoning capacities.” All of these phrases have been used to describe large language models, which drive ...

Robots can now turn plain language into real-world actions using a new framework that ...

Ever since these models appeared, researchers and philosophers have debated whether they are complex ‘stochastic parrots’ or whether they are indeed capable of understanding and will eventually be ...

Adults might be hardwired to understand the nonsense baby-talk of toddlers, scientists have found. This ability of grown-ups to parse the early attempts of children to talk may also help the children ...

Unlike the carefully scripted dialogue found in most books and movies, the language of everyday interaction tends to be messy and incomplete, full of false starts, interruptions and people talking ...

Systems that consume vast quantities of human creations to emulate our behaviors are pushing forward the cutting edge in AI. Dall-E and Stable Diffusion learned to generate images from prompts, ...

Natural language understanding (NLU) may be particularly well equipped for enhanced data capture from the electronic health record given its examination of both content-driven and context-driven ...