Results 161 to 170 of about 391,445 (269)

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

An open-source closed-loop Virtual Reality system to investigate social interactions and collective behavior in fish. [PDF]

PLoS One
Sanchez S, Escobedo R, Bastien R, Lenseigne B, Denis A, Moreau M, Combe M, Straw AD, Sire C, Theraulaz G.   +9 more
europepmc   +1 more source

Autonomous Robotic Colonoscopy: A Supervised Learning Approach for Enhanced Navigation and Collision Detection

Advanced Intelligent Systems, EarlyView.
A novel autonomous robotic colonoscopy is introduced through supervised learning approaches. The proposed system consists of 3 degrees of freedom motorized colonoscope with an integrated navigation module that can infer a target steering point and collision probability.
Bohyun Hwang, Dae Kyung Sohn, Seonggun Joe, Byungkyu Kim   +3 more
wiley   +1 more source

Design of global climate control based on fuzzy systems with concept of carbon emissions. [PDF]

PLoS One
Naseer S, Chang WJ, Aslam MS, Hashim Bukhari M, Bilal H, Nawaz MJ.   +5 more
europepmc   +1 more source

Current‐Limiting Control Strategies in Variable Capacitance Electrostatic Energy Harvesters

Advanced Intelligent Systems, EarlyView.
This work introduces control strategies for electrostatic energy harvesters that balance energy yield with current limitations. Two approaches are explored: traditional peak‐triggered controls, and newly developed quadrature controls, which use smooth voltage profiles.
Alireza Jalaliankhakshour, Gianluca Rizzello, Antonello Cherubini, Marco Fontana, Giacomo Moretti   +4 more
wiley   +1 more source

Reinforcement Learning-Based Nonlinear Model Predictive Controller for a Jacketed Reactor: A Machine Learning Concept Validation Using Jetson Orin. [PDF]

ACS Omega
Selvamurugan A, Vinod Kumar A, Palan HR, Simiyon A, Indiran T.   +4 more
europepmc   +1 more source

Adaptive Autonomy in Microrobot Motion Control via Deep Reinforcement Learning and Path Planning Synergy

Advanced Intelligent Systems, EarlyView.
This study introduces a data‐driven framework that combines deep reinforcement learning with classical path planning to achieve adaptive microrobot navigation. By training a surrogate neural network to emulate microrobot dynamics, the approach improves learning efficiency, reduces training time, and enables robust real‐time obstacle avoidance in ...
Amar Salehi, Bairong Zhu, Haoyu Liu, Tingting Yu   +3 more
wiley   +1 more source

Collaborative Multiagent Closed‐Loop Motion Planning for Multimanipulator Systems

Advanced Intelligent Systems, EarlyView.
This work presents a hierarchical multi‐manipulator planner, emphasizing highly overlapping space. The proposed method leverages an enhanced Dynamic Movement Primitive based planner along with an improvised Multi‐Agent Reinforcement Learning approach to ensure regulatory and mediatory control while ensuring low‐level autonomy. Experiments across varied
Tian Xu, Siddharth Singh, Qing Chang
wiley   +1 more source

Building an Intelligent Cardiovascular System Platform: Embedding Artificial Intelligence across All Facets of Cardiovascular Medicine

Advanced Intelligent Systems, EarlyView.
This paper presents an integrated AI‐driven cardiovascular platform unifying multimodal data, predictive analytics, and real‐time monitoring. It demonstrates how artificial intelligence—from deep learning to federated learning—enables early diagnosis, precision treatment, and personalized rehabilitation across the full disease lifecycle, promoting a ...
Mowei Kong, Xingwei Zhao, Qiuting Li, Yang Yu, Chunxiang Zhang   +4 more
wiley   +1 more source

From the logic of coordination to goal-directed reasoning: the agentic turn in artificial intelligence. [PDF]

Front Artif Intell
Haidemariam T.
europepmc   +1 more source