Robots fail in the real world because they train on the wrong view. Third-person cameras show the scene. They miss the hands. They miss the contact. They miss the exact pixel a robot will see when it reaches for a tool.

Egocentric data fixes this...

Computer vision did not change overnight. For years, progress came from task-specific models. Classifiers, Detectors, Each trained on narrow datasets. Each built for narrow goals. Performance improved. Generality did not. Models learned what to predict, Not how to see.

Foundation models broke this pattern. They do not optimize for one task. They learn broad visual repre...

Every year, millions of patients check into hospitals seeking care and leave with an infection they didn't arrive with. Hospital-acquired infections (HAIs) remain one of the most stubborn, costly, and often fatal challenges in modern healthcare.

Despite rigorous protocols and dedicated Environmental Services teams, the gap between what should be cleaned and

Falling in a hospital room is a major fear for patients and doctors alike. For people on strict bed rest, even a small movement out of bed can be very dangerous. In busy hospital wards, it is very hard for nurses to watch every single bed at every second. When humans try to monitor many rooms at once, they get tired, and mistakes happen. It is impossible for a person to sit a...

Anthropic just revealed a model it will not let you use. Not because it failed, because it succeeded too well.

Claude Mythos Preview is Anthropic's