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 ...

The written word has been challenged repeatedly. First, radio was supposed to kill the newspaper, then TV, then the internet.

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

During the making of an AI model, Performance metrics like accuracy, precision, recall, F1-score, ROC curves are used to ...

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

But the “fair” ML algorithms have tended to make straightforward choices based on one-time signals—for example, deciding whether a loan application gets approved on the basis of a potential borrower’s ...

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

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.

Automation combined with innovation will define the future. Businesses that accept this change today can achieve dominance in tomorrow's economic environment.

An examination of antitrust and competition considerations relating to the use of pricing algorithms and other AI systems, including the relevant legal issues and how to design algorithms to ...

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.