Results 141 to 150 of about 2,093,419 (291)

Negative Feedback in Hf0.5Zr0.5O2 Resistive Memory: Feigenbaum Route Toward Two‐Terminal Pseudo‐Random Number Generation and Neural Network Instabilities

Advanced Electronic Materials, EarlyView.
Resistively switching TiN/Hf0.5Zr0.5/Au valance‐change memory devices show period‐doubling bifurcations, arising from competing influences of filamentary counter‐eightwise filamentary switching and eigthwise electrochemical oxygen exchange at the active electrode.
Sebastian Obernberger, Yoandris Gonzalez, Andranik Sarkissian, Christina Schindler, Andreas Ruediger   +4 more
wiley   +1 more source

Episodic Clustering of Data Streams Using a Topology-Learning Neural Network [PDF]

, 2012
Tscherepanow M, Kühnel S, Riechers S. Episodic Clustering of Data Streams Using a Topology-Learning Neural Network. In: Lemaire V, Lamirel J-C, Cuxac P, eds. Proceedings of the ECAI Workshop on Active and Incremental Learning (AIL).
Lamirel, Jean-Charles, Tscherepanow, Marko, Riechers, Sören, Kühnel, Sina, Lemaire, Vincent, Cuxac, Pascal   +5 more
core  

Characterizing Biopolymer Electrolytes in Zinc–Air Batteries: Challenges, Best Practices, and a Robust Workflow Guiding Future Research Paths

Advanced Energy Materials, EarlyView.
Bio‐based gel polymer electrolytes promise sustainable, mechanically adaptable zinc–air batteries, yet their progress is constrained by inconsistent characterization. This review critically links formulation, structure, interfaces, and cell performance, identifies methodological gaps under alkaline operating conditions, and proposes application ...
Matteo Milanesi, Hiba Ali, Barbara Belza, Mattia F. Palermo, Claudio Gerbaldi, Giuseppe Antonio Elia, Nagore Ortiz‐Vitoriano   +6 more
wiley   +1 more source

When Biology Meets Medicine: A Perspective on Foundation Models

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence, and foundation models in particular, are transforming life sciences and medicine. This perspective reviews biological and medical foundation models across scales, highlighting key challenges in data availability, model evaluation, and architectural design.
Kunying Niu, Yuxing Wang, Limin Zou, Jing Huang   +3 more
wiley   +1 more source

AI‐BioMech: Deep Learning Prediction of Mechanical Behavior in Aperiodic Biological Cellular Materials

Advanced Intelligent Discovery, EarlyView.
AI‐BioMech is a deep learning framework that predicts the mechanical behavior of biological cellular materials directly from 2D images. By replacing traditional finite element analysis with semantic segmentation, it identifies stress and strain distributions with 99% accuracy, offering a high‐speed, scalable alternative for analyzing complex, aperiodic
Haleema Sadia, Marcelo A. Dias, Parvez Alam   +2 more
wiley   +1 more source

Collaborative Visual Localization for Modular Self‐Reconfigurable Robots

Advanced Intelligent Systems, EarlyView.
Relative localization in modular self‐reconfigurable robots is challenged by hardware limitations, constrained fields of view, and sensor faults. This paper, based on the SnailBot platform, presents a vision‐based collaborative localization method that combines ArUco markers with learning‐based algorithms to enable robust pose estimation from ...
Guanqi Liang, Rong Ou, Peiqi Wang, Xianghong Wang, Tin Lun Lam   +4 more
wiley   +1 more source

Episodic-like memory changes during aging [PDF]

, 2016
The Diploma thesis is concerned with the human episodic-like memory and its changes during the course of healthy ageing. Episodic memory represents a memory of specific events and their spatiotemporal relations, involving conscious retrieval and mental ...
Čechová, Kateřina
core  

Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training

Advanced Intelligent Systems, EarlyView.
The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez, Raúl Parada, Jordi Casas‐Roma, Laia Subirats   +3 more
wiley   +1 more source

Stochastic Locomotion Emerging From Body–Environment Interactions in a Mexican Jumping Bean–Inspired Robot

Advanced Intelligent Systems, EarlyView.
Inspired by the Mexican jumping bean, this study presents a centimeter‐scale, electronics‐free robot that merges principles from both the animal and plant kingdoms. A thermo‐responsive actuator mimicking larval motion, enclosed within a uniquely shaped plant‐seed‐inspired shell, generates jumping, rolling, flipping, sliding, and climbing through ...
Ragesh Chellattoan, Alessio Mondini, Edoardo Sinibaldi, Barbara Mazzolai   +3 more
wiley   +1 more source

Episodic-like memory in a simulation of cuttlefish behavior

Scientific Reports
Episodic memory involves remembering the what, when, and where components of an event. It has been observed in humans, other vertebrates, and the invertebrate cuttlefish.
Sriskandha Kandimalla, Qian Ying Wong, Kary Zheng, Jeffrey L. Krichmar   +3 more
doaj   +1 more source