Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.

Conventional electronic noses rely on arrays of chemical sensors whose electrical responses are often affected by humidity, temperature fluctuations, and long-term drift. While these systems have ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in ...

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...

A team of EPFL researchers has developed an AI algorithm that can model complex dynamical processes while taking into account ...

Brain-Computer Interfaces (BCIs) are emerging as transformative tools that enable direct communication between the human brain and external devices. With recent advancements in Electroencephalography ...

While NASA's Apollo 11 mission is still remembered today for putting a man on the Moon in 1969, the Soviet Union put humanity's first uncrewed spacecraft on lunar soil three years earlier. A ...

Emma Beavin's reporting for this story was supported by a National Ins | The Coalition for Health AI promised the healthcare industry a way to responsibly oversee AI through a nationwide network of AI ...

The March 2026 issue of NEJM Catalyst Innovations in Care Delivery is a special theme issue on the hard work of implementing artificial intelligence in real-world ...

Postdoctoral researcher Johann Vargas Calixto uses machine learning and ultrasound technology to develop low-cost, accessible prenatal monitoring in underserved communities.

Data Normalization vs. Standardization is one of the most foundational yet often misunderstood topics in machine learning and ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle ...