Results 131 to 140 of about 1,079,877 (335)

Artificial Nervous Systems

Advanced Science, EarlyView.
By drawing inspiration from biological neural hierarchies and the working mechanisms of plasticity, researchers have constructed a series of bionic devices, including sensory devices, synapse devices, and artificial neural systems. They committed to simulating and surpassing the biological information processing function, thereby realizing the ...
Lu Yang, Qingwen Cheng, Yue Li, Ning Wu, Zhipeng Xu, Wentao Xu   +5 more
wiley   +1 more source

Micro Biomimetic Eyeball for Humanoid Robots: A Visual System with High‐Density Functional Integration Based on an Origami Mechanism

Advanced Science, EarlyView.
A biomimetic eyeball system (BES) based on a 3‐DOF miniature origami mechanism, which addresses the inherent issues of large size and weight in traditional electromechanical BESs is presented. Moreover, it maintains a level of visual functionality comparable to that of the human eye, including capabilities such as rapid scanning, target recognition ...
Junji Pu, Yang Chen, Yulie Wu, Canhui Yin, Chunyan Qu, Dingbang Xiao, Xuezhong Wu   +6 more
wiley   +1 more source

Neuromorphic Computing with Memcapacitors: Advancements, Challenges, and Future Directions

Advanced Electronic Materials, EarlyView.
Neuromorphic computing reduces energy costs by integrating memory and processing in event‐driven architectures, achieving energy usage as low as 10–30 pJ per operation for memcapacitor‐based synapses. Memcapacitors are reviewed as strong contenders for neuromorphic computing, enhancing AI acceleration through charge‐based computations, high resistance,
Nada AbuHamra, Muhammad Umair Khan, Eman Hassan, Mahmoud Al Qutayri, Baker Mohammad   +4 more
wiley   +1 more source

In Situ Graph Reasoning and Knowledge Expansion Using Graph‐PRefLexOR

Advanced Intelligent Discovery, EarlyView.
Graph‐PRefLexOR is a novel framework that enhances language models with in situ graph reasoning, symbolic abstraction, and recursive refinement. By integrating graph‐based representations into generative tasks, the approach enables interpretable, multistep reasoning.
Markus J. Buehler
wiley   +1 more source

Artificial Intelligence for Bone: Theory, Methods, and Applications

Advanced Intelligent Discovery, EarlyView.
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan, Haicang Zhang, Liping Tong, Di Chen   +3 more
wiley   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

Research on the extension of respiratory interaction modalities in virtual reality technology and innovative methods for healing anxiety disorders

Scientific Reports
The timely alleviation and healing of anxiety is crucial for preventing anxiety disorders. This study explores innovative digital approaches for anxiety relief by integrating virtual reality (VR) and multimodal interaction theories and technologies with ...
Shaoting Zeng, Liyi Chen, Suihong Lan
doaj   +1 more source

Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook

Advanced Intelligent Discovery, EarlyView.
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang, Xinyi Chen, Xu Ye, Yulin Yang, Bin Ai   +4 more
wiley   +1 more source

Itzamna: A multimodal artificial intelligence platform for comprehensive transversal skills assessment

SoftwareX
Transversal skills, such as decision-making, leadership, and creativity, are relevant in areas like education and recruitment. Traditional skill assessments often lack scalability and objectivity. This paper introduces a novel software tool for assessing
Jared D.T. Guerrero-Sosa, Francisco P. Romero, Víctor Hugo Menéndez-Domínguez, Jesus Serrano-Guerrero, Andres Montoro-Montarroso, Jose A. Olivas   +5 more
doaj   +1 more source

A High‐Precision Dynamic Movement Recognition Algorithm Using Multimodal Biological Signals for Human–Machine Interaction

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article describes a multimodal fusion data acquisition and processing system about electromyography for dynamic movement recognition and bioelectrical impedance for key posture recognition. In addition, a new dynamic–static fusion algorithm strategy is designed.
Chenhao Cao, Gang Ma, Zelin Chen, Yiming Ouyang, Hu Jin, Shiwu Zhang   +5 more
wiley   +1 more source