Since November 2022, generative artificial intelligence (AI) has been rewriting billions of emails, student assignments, reports and breakup text messages. Alongside these mundane uses, we've seen a proliferation of chatbots as AI "companions".

Korean researchers have developed a core technology that allows multimodal artificial intelligence (AI) to reliably retain existing knowledge while repeatedly learning new information.

Researchers from the National University of Singapore (NUS) have developed artificial intelligence (AI) methods that learn the large-scale behavior of complex materials from microscopic data. By automatically identifying a small number of hidden variables that capture the collective behavior of a system, the methods can predict how materials evolve over time while reducing the need for costly simulations.

Quantum computing and AI are among the most rapidly developing modern technologies. AI, in the form of machine learning, has been deployed for decades to recommend movies and TV shows and make it easier to search for images. Over the past several years, large language models have permeated even more facets of daily life, from writing emails to producing images, videos and songs in response to requests expressed in a few written lines.

Do AI models understand the language that they produce? To help answer this question and elucidate the mechanisms of language acquisition more generally, researchers at the Okinawa Institute of Science and Technology (OIST) have created a virtual robot with a brain-inspired neural network and tested its performance after giving it the remarkably human trait of curiosity.