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

"Our AI algorithm, named DPAD, dissociates those brain patterns that encode a particular behavior of interest such as arm movement from all the other brain patterns that are happening at the same ...

Insights from data and ML algorithms can be invaluable, but be warned — mistakes can be irreversible. These recent ...

Slower uptake of generative AI in public health provides a unique opportunity to embed community accountability before more ...

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

Some anomaly detection systems have previously been constrained by so-called "black box" AI algorithms, for example. These are characterized by opaque decision-making processes that generate ...

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 ...

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.

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

The biggest opportunities don’t come from people searching for your name. They come when someone’s searching for a solution—and the algorithm decides to introduce you.

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.