AI has a growing role in processing health insurance claims AI uses algorithms trained on types of patients and types of care. But these decisions often require nuance, which AI may not have.

For example, users can feed their locally stored data into a large language model (LLM), such as Llama. The so-called SIFT algorithm (Selecting Informative data for Fine-Tuning), developed by ETH ...

Sometimes the reasons algorithms fail are fairly logical. For example, changes to underlying data can erode their effectiveness, like when hospitals switch lab providers.

Sometimes the reasons algorithms fail are fairly logical. For example, changes to underlying data can erode their effectiveness, like when hospitals switch lab providers.

Atlas, Boston Dynamics’ dancing humanoid, can now use a single model for walking and grasping—a significant step toward ...

One well-known example of a stochastic algorithm is the Facebook newsfeed, which varies based on the preferences of the person reading it.

Researchers have developed a novel attack that steals user data by injecting malicious prompts in images processed by AI ...

Hundreds of medical algorithms have been approved on basis of limited clinical data. Scientists are debating who should test these tools and how best to do it.

At a time when AI is reshaping pharma, Reverba Global CEO Cheryl Lubbert explained in an interview why empathy, context, and ethics still require a human touch.

The Laser Interferometer Gravitational-Wave Observatory (LIGO) uses lasers and mirrors to look for black holes across the ...

After watching a pulse oximeter struggle with his father’s dark skin, @AmBeRnIgAm began a personal quest to confront racial bias in medical generative AI.

AI was intended to save patients cost in health care. However, experts say it's costlier than expected because humans need to help monitor it.