A new generation of robotic systems is learning from neurons to move and interact in sync. These machines can sense, lift, ...

Autonomous driving has advanced rapidly, transitioning from rule-based systems to deep neural networks. Yet end-to-end models still face major ...

Scientists mapped brain activity across the day and found the same neurons create completely different networks depending on ...

Deep learning uses multi-layered neural networks that learn from data through predictions, error correction and parameter ...

An AI-driven computational toolkit, Gcoupler, integrates ligand design, statistical modeling, and graph neural networks to predict endogenous metabolites that allosterically modulate the GPCR–Gα ...

Balance training patients may soon be able to get AI feedback during home exercises, with four wearable sensors and a new ...

NTT Research, Inc., a division of NTT (TY;9432), today announced that members of its Physics & Informatics (PHI) Lab, in ...

As artificial intelligence (AI) continues to revolutionize the economy, courts are increasingly being asked to determine ...

Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...

Abstract: By focusing on the structure exploration and information propagation from non-Euclidean data space, graph convolutional neural network (GCN), which can extract abundant and discriminative ...

The field of cancer immunology has experienced remarkable advancements in diagnostic capabilities, largely due to the integration of multispectral and hyperspectral imaging technologies. These imaging ...

RF engineers are advancing 6G through terahertz communications, AI-driven network optimization, and Open RAN architectures, with major university research centers and NSF funding driving innovation ...