Results 61 to 70 of about 118,983 (259)
Advanced Materials Interfaces, EarlyView.A sonochemical strategy constructs an ex situ 2D hierarchical black phosphorus–Mn2O3 heterostructure, enabling intimate interfacial coupling, enhanced charge transport, and improved electrochemical stability. The optimized BPM‐37.5% electrode delivers 466 F g−1 with 84% retention after 8000 cycles, while the flexible device exhibits high areal energy ...
Sowmiya Selvaraj +1 more
wiley +1 more source
Embrace LLM-Based Cognitive Architecture to Boost Team Problem-Solving in Open-Ended Tasks
SystemsOpen-ended, team-based problem solving demands (i) a bridge between stochastic language models and symbolic control, (ii) mechanisms for idea elaboration, (iii) feature-level concept combination, and (iv) internal representations that support ...
Hashmath Shaik +2 more
doaj +1 more source
Journal of Intelligent Systems, 2018 Computational models are based on symbolic architecture. For this reason, computational models function problematically in dynamic, noisy, and continuous environments.
Rezazadeh Nader, Banirostam Touraj
doaj +1 more source
Advanced Materials Technologies, EarlyView.Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim +6 more
wiley +1 more source
Frontiers in PsychologyIntroductionHuman cognition requires both stability and flexibility: individuals maintain a continuous sense of self while shifting among tasks, intentions, and contexts.
Jiangwei Li
doaj +1 more source
The Future of Research in Cognitive Robotics: Foundation Models or Developmental Cognitive Models?
Advanced Robotics Research, EarlyView.Research in cognitive robotics founded on principles of developmental psychology and enactive cognitive science would yield what we seek in autonomous robots: the ability to perceive its environment, learn from experience, anticipate the outcome of events, act to pursue goals, and adapt to changing circumstances without resorting to training with ...
David Vernon
wiley +1 more source
The AGI-Powered Metaverse: A Decentralized Task-Based Cognitive Architecture
IEEE AccessThe pursuit of Strong Artificial Intelligence (AGI) is hindered by the fundamental limitations of Large Language Models (LLMs), such as hallucinations, static knowledge, and a lack of verifiable reasoning.
Andrey Nechesov, Janne Ruponen
doaj +1 more source
Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback
Advanced Robotics Research, EarlyView.BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat +4 more
wiley +1 more source
Differentiated memory and scientific cognition in AI research agents
Frontiers in Big DataAI research agents increasingly support ideation, literature search, coding, experimental execution, analysis, and manuscript drafting across the scientific workflow.
Diego F. Cuadros +8 more
doaj +1 more source