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

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

Third, we must share the benefits. If AI boosts productivity, the gains should not enrich only tech giants and investors.

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.

To gain competitive advantage, authenticity is as important as AI. As I type, Microsoft Copilot suggests ways to continue, ...

Artificial Intelligence (AI) is transforming many fields of study, and biology is no exception. As AI technologies advance, they are challenging old assumptions and leading to discoveries that are ...

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

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.

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.

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.