Will we ensure our AI models continue to learn from the world, or will we let them learn from their own reflection?

Labeling and annotation are the foundation of context setting and the invisible backbone of AI, which are quietly shaping the ...

AI isn't a single capability, and "using AI" isn't a strategy. The strategy is to know what we're building, why it matters ...

The latest social media trend has people uploading personal photos to create AI cartoon caricatures, but a local expert warns ...

The degradation is subtle but cumulative. Tools that release frequent updates while training on datasets polluted with ...

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

An AI tool called SleepFM analyzes sleep data from a single night to identify patterns linked to disease risk years before ...

Nvidia-led researchers unveiled DreamDojo, a robot “world model” trained on 44,000 hours of human egocentric video to help ...

Delphi-2M was trained on the world's most comprehensive biomedical database with health information from over 400,000 people.

Real-world data (RWD) is transforming clinical research, augmenting existing randomized controlled trial (RCT) data to de-risk studies and improve generalizability. With regulators setting clearer ...

BackgroundAs pivotal drivers of smart cities, mega-mobility systems integrate large-scale transportation networks, communication nodes, and energy ...

Today’s standard operating procedure for LLMs involves offline training, rigorous alignment testing, and deployment with frozen weights to ensure stability. Nick Bostrom, a leading AI philosopher and ...