Optical computing has emerged as a powerful approach for high-speed and energy-efficient information processing. Diffractive ...
Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
The study, titled Conditional Adversarial Fragility in Financial Machine Learning under Macroeconomic Stress, published as a ...
Overview: Clear problem definitions prevent wasted effort and keep machine learning work focused.Clean, well-understood data ...
Based Detection, Linguistic Biomarkers, Machine Learning, Explainable AI, Cognitive Decline Monitoring Share and Cite: de Filippis, R. and Al Foysal, A. (2025) Early Alzheimer’s Disease Detection from ...
Arrowhead Clinic Chiropractor Newnan announces expanded walk-in availability for auto accident victims requiring immediate ...
AI models using ultrasound imaging demonstrate superior diagnostic performance for ovarian cancer compared to sonographers, with higher sensitivity and specificity. The study emphasizes the need for ...
Craif Inc. in Nagoya, Japan, working with Nagoya University's Institute of Innovation for Future Society, has developed a ...
Google's DeepMind just released WeatherNext 2, a new version of its AI weather prediction model. The company promises that it "delivers more efficient, more accurate and higher-resolution global ...
Melanoma remains one of the hardest skin cancers to diagnose because it often mimics harmless moles or lesions. While most artificial intelligence (AI) tools rely on dermoscopic images alone, they ...
Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. We present a transferable, interpretable, and modular machine-learning framework that ...
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