Results 231 to 240 of about 26,399 (309)

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

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

Synaptic Plasticity Engineering for Neural Precision, Temporal Learning, and Scalable Neuromorphic Systems. [PDF]

Nanomicro Lett
Liu Z, Fang Y, Liu Q, Tian B, Zhao C.
europepmc   +1 more source

Step‐Efficient Parallel Implementation of n‐bit Full Adders Using Stateful Logic in Memristor Crossbar Arrays

Advanced Intelligent Systems, EarlyView.
A step‐efficient stateful logic architecture is demonstrated using a fabricated 32 × 32 memristor crossbar array, enabling parallel n‐bit full adder operations directly in memory. By optimizing load resistance and voltage configurations, the circuit achieves reliable NIMP, AND, and OR logic operations with minimized computational steps, enhanced ...
Jinwoo Park, Jungjin Lee, Sangwook Youn, Hyungjin Kim   +3 more
wiley   +1 more source

A Fully Integrated Analog Processing‐in‐Memory System Based on Charge‐Trap Flash Synapse Arrays and Successive Integration‐and‐Rescaling Neurons

Advanced Intelligent Systems, EarlyView.
A fully integrated analog processing‐in‐memory system is demonstrated, combining charge‐trap flash synapse arrays with a successive integration‐and‐rescaling neuron circuit. The architecture performs bit‐sliced analog accumulation with high linearity and low power, achieving efficient and scalable analog in‐memory computing and bridging device‐level ...
Sojoong Kim, Yeonwoo Kim, Woo Young Choi, Minsuk Koo, Yoon Kim   +4 more
wiley   +1 more source

Artificial intelligence agents in orthopaedics: Concepts, capabilities and the road ahead. [PDF]

Knee Surg Sports Traumatol Arthrosc
Oettl FC, Pruneski J, Zsidai B, Yu Y, Cong T, Feldt R, Winkler PW, Hirschmann MT, Samuelsson K, ESSKA Artificial Intelligence Working Group.   +9 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

Analyzing the persuasion mechanism of AI-generated rumors via the elaboration likelihood model. [PDF]

Front Psychol
Hou Z.
europepmc   +1 more source

Bio‐to‐Robot Transfer of Fish Sensorimotor Dynamics via Interpretable Model

Advanced Intelligent Systems, EarlyView.
This study demonstrates how a biologically interpretable model trained on real‐fish muscle activity can accurately predict the motion of a robotic fish. By linking real‐fish sensorimotor dynamics with robotic fish, the work offers a transparent, data‐efficient framework for transferring biological intelligence to bioinspired robotic systems.
Waqar Hussain Afridi, Ahsan Tanveer, Rahdar Hussain Afridi, Muhammad Hamza, Mingxin Wu, Liang Li, Guangming Xie   +6 more
wiley   +1 more source

Vibe Coding in nephrology education: clinician-led, AI-assisted development of open-source interactive learning tools. [PDF]

Ren Fail
Pesce F, Cheungpasitporn W.
europepmc   +1 more source