Researchers have developed a unified framework that simultaneously discovers the hidden variables and governing equations of hysteretic systems, paving the way for more accurate predictions and interpretable models.
Researchers have unveiled SimWorld, a powerful platform designed to push the boundaries of artificial intelligence by immersing agents in dynamic and believable environments.
New research demonstrates how artificial neural networks can learn effective distance metrics from sequence data, potentially accelerating and improving the accuracy of evolutionary relationship inference.
This review explores how large language models are transforming speech-based interactions, paving the way for more natural and engaging conversational AI.
Despite widespread adoption of artificial intelligence, enterprises are discovering that unlocking its full potential requires far more than just implementing the technology.
A new educational approach using generative AI tools-dubbed ‘vibe coding’-is proving remarkably effective at bridging the gap for novice programmers and fostering rapid prototyping.
A new approach harnesses the power of light to build Bayesian machines that not only classify images, but also express how sure they are about their predictions.
New research reveals that software development isn’t just engineering, but a complex ecosystem shaped by forces of competition, adaptation, and even parasitism.
A new benchmark reveals that while artificial intelligence agents can generate novel solutions, they often do so at the expense of reliable performance.
New research suggests our opinions of artificial intelligence, not the music itself, largely shape how we perceive and enjoy AI-generated compositions.