Device Stochasticity Directly Implements Bayesian Sampling in Spiking Neurons
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
Quantum Gravity Spacetime: Universe vs. Multiverse. [PDF]
Tessarotto M, Cremaschini C.
europepmc +1 more source
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
An Outline of New Approach to Computation with Z-Numbers Based on the Concept of Lower Prevision. [PDF]
Aliev R, Huseynov O, Nuriyev A.
europepmc +1 more source
Intelligent Polymer Electrolytes for Next‐Generation Zinc‐Based Energy Storage Devices
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
A Novel Entropy-Based EWMA Monitoring Scheme for Detecting Information Degradation Under Progressive Type-II Censoring. [PDF]
Bugatekin A.
europepmc +1 more source
Updatable Closed‐Form Evaluation of Arbitrarily Complex Multiport Network Connections
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]
Lao-Rodríguez AB +2 more
europepmc +1 more source
Artificial Intelligence for Fluorite Ferroelectric Materials: From Discovery to Optimization
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
A preliminary prediction model for self-harm in adolescent inpatients with mental disorders: integrating individual and family factors. [PDF]
Wang S +5 more
europepmc +1 more source

