Quantum computers—devices that process information using quantum mechanical effects—have long been expected to outperform classical systems on certain tasks. Over the past few decades, researchers ...

The CMS Collaboration has shown, for the first time, that machine learning can be used to fully reconstruct particle collisions at the LHC. This new approach can reconstruct collisions more quickly ...

Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...

Oracle-based quantum algorithms cannot use deep loops because quantum states exist only as mathematical amplitudes in Hilbert space with no physical substrate. Criticall ...

Artificial intelligence may be reshaping modern medicine, but when it comes to their own health, patients still want to know a real person is watching the screen. Researchers at the University of ...

A University of Hawaiʻi at Mānoa student-led team has developed a new algorithm to help scientists determine direction in complex two-dimensional (2D) data, with potential applications ranging from ...

In 2026, artificial intelligence (AI) systems are deployed at scale to support clinical decision-making. Algorithms detect cardiac arrhythmias from ECGs, classify skin lesions from photographs and ...

When Ben Rosenfeld started working as a residential assistant at a Stanford University dorm, he encountered 77 freshmen possessed by an “all-consuming” force. His new gig coincided with the release of ...

The evidence is solid but not definitive, as the conclusions rely on the absence of changes in spatial breadth and would benefit from clearer statistical justification and a more cautious ...

2 Musculoskeletal Research Centre, La Trobe University, Bundoora, Victoria, Australia Correspondence to: Dr J Cook Musculoskeletal Research Centre, La Trobe ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Abstract: This paper presents a novel successive approximation (SA) algorithm designed for electrocardiogram (ECG) signals. Instead of digitizing each sample independently, the proposed method encodes ...