As large medical imaging datasets become widely available, researchers are increasingly turning to artificial intelligence to ...
Edward Kang’s RetinaMind analyzes patients’ retinal images and accurately diagnoses neurodevelopmental disorders 89 percent ...
A metasurface-based spectral convolutional neural network chip enables real-time, high-precision pathological diagnosis of ...
That’s how Graeme McDowell tersely justified his reason for joining controversial LIV Golf in 2022. Just four years later, the LIV players are learning that another business decision might be the ...
Image classification constitutes a fundamental problem in computer vision, with applications in healthcare, security, autonomous systems, and industrial automation. While modern deep learning models ...
CNN’s Wolf Blitzer was just a few feet away from a gunman when shots were fired outside the main ballroom at the White House Correspondent’s Dinner. Blitzer had just left the men’s restroom on an ...
Abstract: In this paper, a method for inferring the motion intentions of a neighboring vehicle ahead of an ego vehicle using a physics-informed deep neural network-based open-set classification ...
Deep learning techniques have been successfully applied to object classification in Synthetic Aperture Radar (SAR) images, achieving remarkable performance. However, the current Transformer ...
A Space X Falcon 9 rocket launches from Space Launch Complex 40 at Cape Canaveral Space Force Station, Florida, Feb. 14, 2024. (U.S. Space Force photo by Airman 1st Class Spencer Contreras) WASHINGTON ...
President Donald Trump hasn't had much positive polling since his so-called "Liberation Day," in April 2025, when he began instituting his tariffs. CNN's data analyst suggested that Trump simply admit ...
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