Results 191 to 200 of about 1,708,303 (255)

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

Accurate and Anti‐Interference Control of Computer Vision‐Assisted Light‐Driven Liquid Crystal Elastomer Actuator

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article introduces a computer vision‐assisted control strategy for light‐driven liquid crystal elastomer actuators. Through negative feedback regulation, the liquid crystal elastomer actuator exhibits accurate and stable bending deformation in complex environments.
Wei Zhang, Zongxuan Wu, Li Lin, Yanjun Liu, Xiaoying Tang, Yajing Shen, Dan Luo   +6 more
wiley   +1 more source

Applied spintronics: From spin transport to spin-charge interconversion and emerging devices. [PDF]

Sci Adv
Bibes M, Gomonay O, Kuschel T, Sinova J, Weiler M, Fukami S, Kläui M.   +6 more
europepmc   +1 more source

Investigation of Analog Memristor Characteristics for Hardware Synaptic Weight in Multilayer Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley   +1 more source

A 98-qubit trapped-ion quantum computer with all-to-all connectivity. [PDF]

Nature
Ransford A, Allman MS, Arkinstall J, Campora JP, Cooper SF, Delaney RD, Dreiling JM, Estey B, Figgatt C, Hall A, Husain AA, Isanaka A, Kennedy CJ, Kotibhaskar N, Madjarov IS, Mayer K, Milne AR, Park AJ, Reed AP, Ancona R, Andersen MP, Andres-Martinez P, Angenent W, Argueta L, Arkin B, Ascarrunz L, Baker W, Barnes C, Bartolotta J, Berg J, Besand R, Bjork B, Blain M, Blanchard P, Blume-Kohout R, Bohn M, Borgna A, Botamanenko DY, Boutelle R, Brown N, Buckingham GT, Burdick NQ, Burton WC, Carey V, Carron CJ, Chambers J, Chan JW, Children J, Colussi VE, Crepinsek S, Cureton A, Davies J, Davis D, DeCross M, Deen D, Delaney C, DelVento D, DeSalvo BJ, Dominy J, Drotar S, Duncan R, Eccles V, Edgington A, Erickson N, Erickson S, Ertsgaard CT, Esposito J, Evans B, Evans T, Fabrikant MI, Fischer A, Foltz C, Foss-Feig M, Francois D, Freyberg B, Gao C, Garay R, Garvin J, Gaudiosi DM, Gilbreth CN, Giles J, Glynn E, Graves J, Hansen A, Hayes D, Heidemann L, Higashi B, Hilbun T, Hines J, Hlavaty A, Hoffman K, Hoffman IM, Holliman C, Hooper I, Horning B, Hostetter J, Hothem D, Houlton J, Hout J, Hutson R, Jacobs RT, Jacobs T, Johannsen M, Johansen J, Jones L, Julian S, Jung R, Keay A, Klein T, Koch M, Kondo R, Kong C, Kosto A, Lawrence A, Liefer D, Lollie M, Lucchetti D, Lysne NK, Lytle C, MacPherson C, Malm A, Mather S, Mathewson B, Maxwell D, McCaffrey L, McDougall H, Mendoza R, Miller DB, Mills M, Morrison R, Narmour L, Nguyen N, Nugent L, Olson S, Ouellette D, Parks J, Peters Z, Peterson TA, Petricka J, Pino JM, Polito F, Potter AC, Preidl M, Price G, Proctor T, Pugh M, Ratcliff N, Raymondson D, Rhodes P, Roman C, Roy C, Ryan-Anderson C, Sanchez FB, Sangiolo G, Sawadski T, Schaffer A, Schow P, Sedlacek J, Semenenko H, Shevchuk P, Shore S, Siegfried P, Singhal K, Sivarajah S, Skripka T, Sletten L, Spaun B, Sprenkle RT, Stoufer P, Tader M, Taylor SF, Thompson TH, Tobey R, Tran A, Tran T, Vittorini G, Volin C, Walker J, White S, Williams GR, Wilson D, Wolf Q, Wringe C, Young K, Zheng J, Zuraski K, Baldwin CH, Chernoguzov A, Gaebler JP, Sanders SJ, Neyenhuis B, Stutz R, Bohnet JG.   +192 more
europepmc   +1 more source

Physics‐Grounded Probabilistic Bits for Hardware‐Efficient Intelligent Inference and Optimization

Advanced Intelligent Systems, EarlyView.
Si–SiNx interface traps are harnessed as a complementary metal–oxide–semiconductor‐compatible source of controllable randomness for probabilistic bits. Pulse‐width‐programmed stochastic capture converts nanoscale defect dynamics into Boltzmann‐consistent binary outputs, while a physics‐based Simulation Program with Integrated Circuit Emphasis model ...
Dokyoung Lee, Jun‐Young Park, Joon‐Kyu Han, Sungho Kim   +3 more
wiley   +1 more source

Quantum computing in finance: a literature review and future directions for trustworthy financial AI. [PDF]

Front Artif Intell
Muzzioli S, Raheem F, Ferrara M, Giudici P, Siciliano R.   +4 more
europepmc   +1 more source

Integrating Reinforcement Learning With Explainable Artificial Intelligence for Real‐Time Clinical Decision Support in Dynamic Healthcare Environments

Advanced Intelligent Systems, EarlyView.
A hybrid Reinforcement Learning–Explainable AI framework integrates SHAP and LIME explanations directly into a Deep Q‐Network inference loop for real‐time ICU decision support. Trained on 18 142 mechanically ventilated stays from the eICU database, the system attains 93.0% decision accuracy, 20% fewer errors than RL alone, and a 91% clinician trust ...
Jannatul Ferdaus Disha, MD Faiaz Zaman Dehan, Kazi Md. Tanvir Anzum   +2 more
wiley   +1 more source

Quantitative Assessment and Verification of Quantum Neural Network Security Based on Violations of the Bell Inequality. [PDF]

Entropy (Basel)
Zhang Y.
europepmc   +1 more source

Artificial Intelligence for Advanced Functional Materials: Progress and Emerging Frontiers

Advanced Intelligent Systems, EarlyView.
Artificial intelligence is transforming the discovery of functional materials by linking synthesis, characterization, simulation, and design in unified workflows. Advances in machine learning, autonomous experimentation, and foundation models are accelerating innovation across energy, electronics, and biomedicine, while revealing new frontiers for ...
Cristiano Malica, Kostya S. Novoselov, Seongmin Kim, Yousung Jung, Silvana Botti, Miguel A. L. Marques, Tigany Zarrouk, Miguel A. Caro, Sanggyu Chong, Michele Ceriotti, Marivi Fernandez‐Serra, Sara Navarro‐Rodriguez, Aakash Ashok Naik, Janine George, Ömer Hasan Omar, Victor Trinquet, Gian‐Marco Rignanese, Andrey Ustyuzhanin, Sonia Conesa‐Boj, Juan Rojo, Minh‐Tuan Dau, Simon M.‐M. Dubois, Jean‐Christophe Charlier, Jose H. Garcia, Romain Gautier, Rachid Laref, Junfeng Qiao, Giovanni Pizzi, Nicola Marzari, Camilla Coletti, Antonio Rossi, Jan‐Lucas Uslu, Chiara Zanardi, Vincenzo Palermo, Wide Hogenhout, Natalia Konchakova, Peter Klein, Tejs Vegge, Stephan Roche   +38 more
wiley   +1 more source