The research, titled AI-Driven Hybrid Deep Learning and Swarm Intelligence for Predictive Maintenance of Smart Manufacturing Robots in Industry 4.0 and published in Electronics, introduces an AI ...
Small and dense but filled with vitally important neural fibers, the brainstem has been hard for brain imaging technologies ...
The signals that drive many of the brain and body's most essential functions—consciousness, sleep, breathing, heart rate and motion—course through bundles of "white matter" fibers in the brainstem, ...
A new international study points to a specific brain network as the core driver of Parkinson’s disease. Scientists found that ...
Researchers have uncovered a fast-acting brain network that may determine how effectively deep brain stimulation improves Parkinson’s symptoms. Parkinson’s disease can make everyday movements slow, ...
Microgrids play a growing role in modern power systems, supporting renewable integration, local resilience, and decentralized energy management. Yet as renewable penetration rises, maintaining stable ...
Hybrid climate modeling has emerged as an effective way to reduce the computational costs associated with cloud-resolving ...
Despite decades of research, the mechanisms behind fast flashes of insight that change how a person perceives their world, termed "one-shot learning," have remained unknown. A mysterious type of ...
Beijing, Feb. 06, 2026 (GLOBE NEWSWIRE) -- WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...
1 College of Science, Tianjin University of Technology and Education, Tianjin, China. 2 Lvliang Vocational and Technical College, Lvliang, China. Multiple reflections in seismic exploration data ...
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