Data is the life-blood of physical AI. Collecting real-life data is expensive. Generative AI and diffusion to create ...

Background and objectives Lung cancer remains the leading cause of cancer-related mortality worldwide. Early detection of pulmonary nodules is crucial for timely diagnosis and effective treatment.

Mass General Brigham researchers are betting that the next big leap in brain medicine will come from teaching artificial intelligence to “read” MRI scans in a more flexible way. The team, led by ...

This study presents a potentially valuable exploration of the role of thalamic nuclei in language processing. The results will be of interest to researchers interested in the neurobiology of language.

The new Mercury 2 AI model uses diffusion reasoning to generate 1,000 tokens per second; it runs about 5x faster than Haiku, speed limits are ...

This important study describes long-range serial dependence of performance on a visual texture discrimination training task that manipulated conditions to induce differing degrees of location transfer ...

GameSpot may get a commission from retail offers. Nintendo admits that, with Tomodachi Life: Living the Dream arriving on April 16, the social-life sim may lead to "humorous, surprising, or ...

Researchers claim that leading image editing AIs can be jailbroken through rasterized text and visual cues, allowing prohibited edits to bypass safety filters and succeed in up to 80.9% of cases.

Adobe's artificial intelligence generated sexualized images in response to prompts for a 4th grade book project. The incident coincided with the release of new state guidelines to prevent harmful AI ...

On Thursday, Anthropic released the latest version of Opus — its most advanced model and a particularly important model for Claude Code. Opus 4.5 was only released last November, and with 4.6, the ...

Engineers at the University of California San Diego have developed a new way to train artificial intelligence systems to solve complex problems more reliably, particularly those that require ...

Li and colleagues developed a deep-learning model to analyze EEG recordings and detect event-level EEG spikes. 2. The model achieved high accuracy and a low false-positive rate, with only 32% of human ...