The unique properties of high-entropy alloys make them ideal for hydrogen storage, offering advantages in stability and ...

Atomic-scale imperfections in graphene transistors generate unique wireless fingerprints that cannot be copied or predicted, ...

Artificial Intelligence (AI) has achieved remarkable successes in recent years. It can defeat human champions in games like Go, predict protein structures with high accuracy, and perform complex tasks ...

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 ...

From disaster zones to underground tunnels, robots are increasingly being sent where humans cannot safely go. But many of ...

US researchers say a self-supervised machine-learning tool can identify long-term physical defects in solar assets weeks or years before conventional inspections, potentially reducing operations and ...

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 ...

AI for Quality and Efficiency in Radiology Artificial intelligence (AI) is increasingly being leveraged in radiology to ...

Accurate and efficient thermal modeling for 2.5D/3D heterogeneous chiplet systems” was published by researchers at EPFL and ...

Depending on its output, a machine shop’s loadout details will vary from one operation to the next. Still, many of the health risks are universal, appearing in every shop. What are the most common ...