The unique properties of high-entropy alloys make them ideal for hydrogen storage, offering advantages in stability and ...
Since the 2000s, Google Search—and later YouTube and Discover—served as the primary discovery and monetization engines for ...
Bipolar Disorder, Digital Phenotyping, Multimodal Learning, Face/Voice/Phone, Mood Classification, Relapse Prediction, T-SNE, Ablation Share and Cite: de Filippis, R. and Al Foysal, A. (2025) ...
Through a novel combination of machine learning and atomic force microscopy, researchers in China have unveiled the molecular ...
The software tool developed by Stony Brook University uses self-supervised learning to detect long-term solar equipment damage weeks or years before manual inspections find it.
News-Medical.Net on MSN
Automated system improves deep learning accuracy in chest radiography analysis
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
Researchers at Osaka Metropolitan University have discovered a practical way to detect and fix common labeling errors in ...
TotalEnergies' deployment of machine learning at its Port Arthur, Texas, refinery demonstrates how predictive AI can ...
Interesting Engineering on MSN
New quantum method lets drones, robots talk even in ‘signal lost’ zones
Researchers at Virginia Tech are using quantum entanglement to help AI drone swarms and robots coordinate in "signal lost" ...
AI for Quality and Efficiency in Radiology Artificial intelligence (AI) is increasingly being leveraged in radiology to ...
Thermal Modeling in Emerging Heterogeneous 2.5D/3D Systems (EPFL, Universidad Complutense de Madrid)
Accurate and efficient thermal modeling for 2.5D/3D heterogeneous chiplet systems” was published by researchers at EPFL and ...
Data Factor, New Quality Productive Forces, Industry-University-Research Cooperation, Industrial Structure Optimization Share ...
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