When creating content, prioritize the comprehensiveness of the topic over the repetition of a single keyword. Utilize generative AI tools (like DeepSeek) to expand the semantic range of content, ...

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

We are now seeing these processors arrive on the market, supported by software from manufacturers and their partners. This ...

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.

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

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.

Advancements in technology, particularly in Artificial Intelligence (AI), are transforming our ability to predict and manage natural disasters. This technology, with its ability to analyze vast ...

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.