Today, machine learning, artificial intelligence, and algorithmic advancements made by research scientists and engineers are driving more targeted medical therapies through the power of prediction.

Scientists at the U.S. Department of Energy's (DOE) Brookhaven National Laboratory have developed a novel artificial ...

Imagine a parallel universe where physicists are remunerated so handsomely that they can accumulate multitudinous assets. In this alternate universe, you naturally wish to share your good fortune, so ...

In the current digital era, where artificial intelligence dominates both corporate decision-making and creative industri ...

How can government agencies avoid causing more harm than good when they use artificial intelligence and machine learning? A new report attempts to answer this question with a framework and best ...

Cancer patient navigators (CPNs) can decrease the time from diagnosis to treatment, but workloads vary widely, which may lead to burnout and less optimal navigation. Current practice for patient ...

Submucosal tumors (SMTs) are usually found in the stomach and esophagus during an upper endoscopy. Submucosal tunneling endoscopic resection (STER) and non-tunneling endoscopic resection (NTER) are ...

Most artificial intelligence is still built on a foundation of human toil. Peer inside an AI algorithm and you’ll find something constructed using data that was curated and labeled by an army of human ...

Across industries, HR leaders are facing a new reality: Machines are not just supporting HR—they are now shaping it. Generative AI is writing job descriptions, scanning resumes, curating training ...