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'Thermodynamic computer' can mimic AI neural networks — using orders of magnitude less energy to generate images
Researchers generated images from noise, using orders of magnitude less energy than current generative AI models require.
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 ...
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 ...
AI systems already decide how ambulances are routed, how supply chains operate and how autonomous drones plan their missions. Yet when those systems make a risky or counter-intuitive choice, humans ...
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 ...
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