Results 231 to 240 of about 2,904,995 (278)

Device Stochasticity Directly Implements Bayesian Sampling in Spiking Neurons

open access: yesAdvanced Science, EarlyView.
Brain‐inspired stochastic spiking turns device noise into Bayesian uncertainty for robust, low‐power neuromorphic computing. ABSTRACT Device stochasticity is considered a non‐ideality in neuromorphic hardware, although stochastic neural activity supports probabilistic computation in biological systems.
Huannan Zheng, Jingli Liu, Kezhou Yang
wiley   +1 more source

Steric‐Pressure‐Driven Topological Reconstruction for High‐Performance Zintl Phase Thermoelectrics with Machine‐Learning Validation

open access: yesAdvanced Science, EarlyView.
Synergistic Sr and Ag co‐doping drives steric‐pressure‐induced reconstruction from a 2D layered structure to a cross‐linked 3D framework in the Ca9‐xSrxZn4+y‐zAgzSb9 system, enhancing carrier mobility while maintaining a large Seebeck coefficient and doubling ZT to 0.73 at 873 K, with hybrid transfer machine learning further capturing the compositional
Siyeon Kim   +7 more
wiley   +1 more source

Intelligent Polymer Electrolytes for Next‐Generation Zinc‐Based Energy Storage Devices

open access: yesAdvanced Science, EarlyView.
Intelligent polymer electrolytes are organized into a three‐level hierarchy that advances zinc‐based energy storage from passive ion conduction toward active, adaptive, and intelligent operation. Molecular regulation of Zn+ coordination, water activity, desolvation, ion flux, and interfaces underpins adaptive self‐healing, anti‐freezing, adhesion, and ...
Sanath Kumar   +4 more
wiley   +1 more source

Updatable Closed‐Form Evaluation of Arbitrarily Complex Multiport Network Connections

open access: yesAdvanced Electronic Materials, EarlyView.
The inverse design of electrically large wave devices often uses reduced‐order multiport models with discrete optimization, requiring many evaluations of complex interconnections between subsystems that differ only in a few blocks. This paper introduces a closed‐form framework enabling efficient Woodbury low‐rank updates of related, previous ...
Hugo Prod'homme, Philipp del Hougne
wiley   +1 more source

The predictive processing embodied in brain conditions: the role of precision. [PDF]

open access: yesFront Psychol
Lao-Rodríguez AB   +2 more
europepmc   +1 more source

Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization

open access: yesAdvanced Electronic Materials, EarlyView.
Artificial intelligence accelerates the discovery and optimization of HfO2‐based fluorite ferroelectrics by linking synthesis, structure, properties, and device performance. Machine learning, deep‐learning analysis, and AI‐driven atomistic modeling enable predictive design, dopant screening, and closed‐loop optimization toward next‐generation ...
Faizan Ali   +3 more
wiley   +1 more source

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