Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered considerable interest among researchers. The debate around the use of machine ...

AI-powered overclocking uses machine learning to boost CPU and GPU performance safely in 2026, delivering higher FPS, better efficiency, and automatic stability.

Last year, the Wall Street Journal won a Pulitzer for an investigation that used artificial intelligence. To map out the ...

AI 2.0 is different and challenges that belief as larger models are proving far less valuable in practice. Rather than ...

One of the promises of AI is that it can reduce workloads so employees can focus more on higher-value and more engaging tasks ...

AI is not yet the success that it should be, so two dozen enterprises will disclose their move toward a crucial new paradigm – hybrid AI – at a 2026 conference.

Medical device makers have been rushing to add AI to their products. While proponents say the new technology will ...

Opinion: A patent case involving inventor Guillaume Desjardins has evolved into a cornerstone of modern patent eligibility ...

Out-of-hospital cardiac arrest, or OHCA, is a leading cause of mortality worldwide and 90% of cases are fatal. Patients lose cardiac function and circulation, and every minute they remain untreated ...

Quiq reports on the role of automation in customer service, highlighting tools like AI for questions, ticket classification, ...

Clinical and health care resource use burden were greater among patients with diagnosed hypereosinophilic syndrome or predicted hypereosinophilic syndrome via machine learning vs. those without the ...

Background Early graft failure within 90 postoperative days is the leading cause of mortality after heart transplantation. Existing risk scores, based on linear regression, often struggle to capture ...