This article discusses legal issues surrounding the harms caused by artificial intelligence, and where liability may lie if a neural network is not functioning correctly in the real world.Artificial ...

Among the many steps along the road to high-performance AI, one of the most important was taken in 2007 by Fei-Fei Li, then an assistant professor in Princeton’s computer science department. Using ...

This study provides an important and biologically plausible account of how human perceptual judgments of heading direction are influenced by a specific pattern of motion in optic flow fields known as ...

Modality-agnostic decoders leverage modality-invariant representations in human subjects' brain activity to predict stimuli irrespective of their modality (image, text, mental imagery).

Discover how thoughtful design can revolutionize AI systems. Learn more about the future of AI at MLDS 2026. Read now!

Very few areas of industry will escape the influence of artificial intelligence, with many applications involving security ...

A study on visual language models explores how shared semantic frameworks improve image–text understanding across multimodal tasks. By combining feature extraction, joint embedding, and advanced ...

AI systems are "trained" using massive datasets, and the quality of this data determines the model's performance. AI can ...

As proposed and demonstrated by the Los Alamos team, the architectures and techniques proposed to mitigate or altogether ...

AI is consuming staggering amounts of energy—already over 10% of U.S. electricity—and the demand is only accelerating. Now, ...

Explore how our brains form habits through cues, routines, and rewards, and learn strategies to break bad habits.