Results 161 to 170 of about 1,125,786 (343)

Review of Memristors for In‐Memory Computing and Spiking Neural Networks

Advanced Intelligent Systems, EarlyView.
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari, Teresa Serrano‐Gotarredona, Bernabé Linares‐Barranco   +2 more
wiley   +1 more source

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

Advanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu, Haydn Anderson, Noah I. Waxman, Vsevolod Kovalev, Byron Fisher, Elizabeth Li, Xiaofeng Guo   +6 more
wiley   +1 more source

A Multi‐instrument Recognition and Autonomous Tracking Control Method for Robot‐Assisted Endoscopic Adjustment

Advanced Intelligent Systems, EarlyView.
During lengthy minimally invasive surgeries, fatigue can cause surgeon tremor and poor endoscopic coordination. This study proposes a robot‐assisted endoscopic adjustment system. It employs a lightweight instrument detection model and a hierarchical multiconstraint controller for visual servoing.
Zijie Yang, Junyi Hu, Yu Han, Wanquan Liu, Fuxing Wei, Jianqing Peng   +5 more
wiley   +1 more source

Med-CMR: A Fine-Grained Benchmark Integrating Visual Evidence and Clinical Logic for Medical Complex Multimodal Reasoning [PDF]

Hengfeng Gong, Xiaozhong Ji, Yuansen Liu, Wenbin Wu, Xiaoxiao Yan, Jingjing Liu, Kai Wu, Jiazhen Pan, Bailiang Jian, Jiangning Zhang, Xiaobin Hu, Hongwei Li   +11 more
openalex   +1 more source

Stimuli‐Responsive Electrofluidic Nervous System for Autonomous Soft Robots

Advanced Intelligent Systems, EarlyView.
A stimuli‐responsive electrofluidic nervous system (SENS) is introduced to achieve sensing, signal processing, and decision‐making using soft materials. Comprising fluidic switches and electroactive actuators, SENS enables multimodal stimuli‐responsiveness and autonomous control in soft robots.
Dip Kumar Saha, Dana Ragab, Nicolas Herzig, Hareesh Godaba   +3 more
wiley   +1 more source

MIFTel: a multimodal interactive framework based on temporal logic rules

Multimedia tools and applications, 2020
D. Avola, L. Cinque, A. del Bimbo, Marco Raoul Marini   +3 more
semanticscholar   +1 more source

FANTASIA: a framework for advanced natural tools and applications in social, interactive approaches [PDF]

, 2019
Cosi, Piero, Cutugno, Francesco, Origlia, Antonio, Rodà, Antonio, Zmarich, Claudio   +4 more
core   +1 more source

Computational complexity of multimodal logics based on rough sets

, 2000
Summary: We characterize the computational complexity of a family of approximation multimodal logics in which interdependent modal connectives are part of the language. Those logics have been designed to reason in the presence of incomplete information in the sense of rough set theory.
Demri, Stéphane, Stepaniuk, Jaroslaw
openaire   +1 more source

SciLitMiner: An Intelligent System for Scientific Literature Mining and Knowledge Discovery

Advanced Intelligent Systems, EarlyView.
SciLitMiner is an intelligent system that federately ingests scientific literature, filters it using advanced information retrieval methods, and applies retrieval‐augmented generation tailored to scientific domains. Demonstrated on creep deformation in γ‐TiAl alloys, SciLitMiner provides a controlled workflow for systematic knowledge discovery and ...
Vipul Gupta, Jonathan David Heaton Paul, Ingo Schmitt, Florian Pyczak   +3 more
wiley   +1 more source

Advances in Regulating Strategies and Applications of Ferroelectric Materials

Advanced Physics Research, EarlyView.
To meet the demand for precise control of performance in nanoelectronic devices, this paper systematically reviews the latest advances in controlling ferroelectric properties through strategies such as external field modulation, low‐dimensional confinement, interface engineering, and topological structure design.
Jianying Ji, Cong Liu, Dan Luo, Zhou Li
wiley   +1 more source