Physical and engineering sciences in medicine
Aug 4, 2025
Artificial Intelligence has shown great promise in healthcare, particularly in non-invasive diagnostics using bio signals. This study focuses on classifying eye states (open or closed) using Electroencephalogram (EEG) signals captured via a 14-electr... read more
Reinforcement Learning with Verifiable Rewards (RLVR) has improved the
reasoning abilities of Large Language Models (LLMs) by using rule-based binary
feedback, helping to mitigate reward hacking. However, current RLVR methods
typically treat whole ... read more
Journal of neuroengineering and rehabilitation
Aug 4, 2025
BACKGROUND: Lower limb muscle bionic devices have attracted significant attention in rehabilitation and assistive sports technology. Despite advancements in mimicking human movement, current devices still face challenges in enhancing strength and mov... read more
Generative artificial intelligence (GenAI) models have emerged as a transformative tool for addressing the complex challenges of drug discovery, enabling the design of structurally diverse, chemically valid, and functionally relevant molecules. Despi... read more
Risk analysis : an official publication of the Society for Risk Analysis
Aug 4, 2025
Customized narratives are effective tools to promote risk prevention behaviors in populations. However, the development of such narratives is resource-intensive. Advances in generative artificial intelligence (AI) offer promising solutions to these c... read more
Autonomous unmanned aerial vehicle (UAV) navigation in orchards presents
significant challenges due to obstacles and GPS-deprived environments. In this
work, we introduce a learning-based approach to achieve vision-based navigation
of UAVs within o... read more
Chemphyschem : a European journal of chemical physics and physical chemistry
Aug 4, 2025
The generalized many-body expansion for building density matrices (GMBE-DM), truncated at the one-body level and combined with a purification scheme, is applied to rank protein-ligand binding affinities across two cyclin-dependent kinase 2 (CDK2) dat... read more
Neuromorphic computing aims to mimic both the function and structure of biological neural networks to provide artificial intelligence with extreme efficiency. Conventional approaches store synaptic weights in non-volatile memory devices with analog r... read more
Existing methods for rotation estimation between two spherical
($\mathbb{S}^2$) patterns typically rely on spherical cross-correlation
maximization between two spherical function. However, these approaches exhibit
computational complexities greater... read more
Reliable preclinical disease risk assessment is essential to move public
healthcare from reactive treatment to proactive identification and prevention.
However, image-based risk prediction algorithms often consider one condition at
a time and depen... read more
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