The AI in remote patient monitoring market is booming, driven by chronic disease prevalence, aging populations, and digital ...

Geisinger and IBM this week announced this week that they've co-created a new predictive model to help clinicians flag sepsis risk using data from the integrated health system's electronic health ...

In Boston, where anything short of a championship is a failure, the future of sports prediction isn’t coming from instinct — ...

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...

A new technique able to forecast how changes to parameters will impact biomanufacturing processes could revolutionize drug production, save manufacturers time and money, and help increase access to ...

The semiconductor industry, as always, is at the forefront of transformational technological innovation, driving escalating complexity of manufacturing processes that extend time-to-market delivery, ...

The NAIC's highly anticipated Model Bulletin for the use of algorithms, predicative models and AI came out in July, but what are the implications? Though the bulletin is still in draft form, those ...

Spread the loveIn an era where cyber threats are evolving at an alarming rate, the need for robust cybersecurity measures has never been more critical. On April 11, 2026, the AI Daily Recap revealed a ...