Computers in Human Behavior, Journal Year: 2024, Volume and Issue: unknown, P. 108539 - 108539
Published: Dec. 1, 2024
Language: Английский
Computers in Human Behavior, Journal Year: 2024, Volume and Issue: unknown, P. 108539 - 108539
Published: Dec. 1, 2024
Language: Английский
Technology in Society, Journal Year: 2025, Volume and Issue: unknown, P. 102855 - 102855
Published: Feb. 1, 2025
Language: Английский
Citations
0Scientific Reports, Journal Year: 2025, Volume and Issue: 15(1)
Published: March 11, 2025
This study examines the imperative to align artificial general intelligence (AGI) development with societal, technological, ethical, and brain-inspired pathways ensure its responsible integration into human systems. Using PRISMA framework BERTopic modeling, it identifies five key shaping AGI's trajectory: (1) societal integration, addressing broader impacts, public adoption, policy considerations; (2) technological advancement, exploring real-world applications, implementation challenges, scalability; (3) explainability, enhancing transparency, trust, interpretability in AGI decision-making; (4) cognitive ethical considerations, linking evolving architectures frameworks, accountability, consequences; (5) systems, leveraging neural models improve learning efficiency, adaptability, reasoning capabilities. makes a unique contribution by systematically uncovering underexplored themes, proposing conceptual that connects AI advancements practical multifaceted technical, challenges of development. The findings call for interdisciplinary collaboration bridge critical gaps governance, alignment while strategies equitable access, workforce adaptation, sustainable integration. Additionally, highlights emerging research frontiers, such as AGI-consciousness interfaces collective offering new integrate human-centered applications. By synthesizing insights across disciplines, this provides comprehensive roadmap guiding ways balance innovation responsibilities, advancing progress well-being.
Language: Английский
Citations
0Bioengineering, Journal Year: 2025, Volume and Issue: 12(3), P. 313 - 313
Published: March 19, 2025
The analysis of human gait is a cornerstone in diagnosing and monitoring variety neuromuscular orthopedic conditions. Recent technological advancements have paved the way for innovative methodologies that combine multimodal neuroimaging eXtended Reality (XR) technologies to enhance precision applicability analysis. This review explores state-of-the-art solutions an advanced approach, multidisciplinary concept integrates neuroimaging, extended reality technologies, sensor-based methods study locomotion. Several wearable modalities such as functional near-infrared spectroscopy (fNIRS) electroencephalography (EEG), commonly used monitor analyze brain activity during walking explore neural mechanisms underlying motor control, balance, adaptation, were considered. XR including virtual, augmented, mixed reality, enable creation immersive environments analysis, real-time simulation, movement visualization, facilitating comprehensive assessment locomotion its biomechanical dynamics. approach enhances understanding by examining both cerebral aspects, offering insights into brain–musculoskeletal coordination. We highlight potential provide real-time, high-resolution data improved clinical decision-making rehabilitation strategies. Additionally, we address challenges integrating these fusion, computational demands, scalability. concludes proposing future research directions leverage artificial intelligence further optimize imaging applications ultimately driving their translation from laboratory settings practice. synthesis underscores transformative approaches personalized medicine patient outcomes.
Language: Английский
Citations
0Computers in Human Behavior, Journal Year: 2024, Volume and Issue: unknown, P. 108539 - 108539
Published: Dec. 1, 2024
Language: Английский
Citations
1