Advanced Science, EarlyView.An MTJ‐based probabilistic processing‐in‐memory architecture unites nonvolatile storage, local entropy generation, and stochastic computation within each memory cell. Stored multi‐bit weights are converted directly into programmable stochastic bitstreams, enabling neural‐network inference, adaptive Ising optimization, and uncertainty‐aware Bayesian ...
Qiuyuan Wang +6 more
wiley +1 more source
Bayesian estimation of HIV acquisition dates for prevention trials. [PDF]
mBioRossenkhan R +39 more
europepmc +1 more source
BAYESIAN ESTIMATION OF THE GAUSSIAN MIXTURE GARCH MODEL [PDF]
In this paper, we perform Bayesian inference and prediction for a GARCH model where the innovations are assumed to follow a mixture of two Gaussian distributions.
María Concepcion Ausin, Pedro Galeano
core
An Integrated Artificial Intelligence Framework for Nanomedicine Engineering
Advanced Science, EarlyView.This review outlines a closed‐loop AI ecosystem for nanomedicine engineering. By synergizing multimodal data harmonization, objective‐driven AI architectures, and automated high‐throughput validation, this “Design‐Make‐Test‐Analyze” (DMTA) workflow transforms traditional heuristic formulation into a predictive, self‐optimizing paradigm, accelerating ...
Meichen Dong +10 more
wiley +1 more source
Channel gain calibrated signal space projection using variational Bayesian estimation for optically pumped magnetometers. [PDF]
Imaging Neurosci (Camb)Suzuki K +4 more
europepmc +1 more source
An Inhomogeneous Bayesian Texture Model for Spatially Varying Parameter Estimation
, 2014 In statistical model based texture feature extraction, features based on spatially varying parameters achievehigher discriminative performances compared to spatially constant parameters. In this paper we formulate anovel Bayesian framework which achieves
Niranjan, Mahesan +3 more
core
Enhancing Specific Stiffness of Nano‐Architected Materials Through Generative AI and Active Learning
Advanced Science, EarlyView.A structure‐centric generative framework searches voxelated design space directly, coupling a variational autoencoder with multi‐objective optimization and active learning to progressively expand the validated design domain. The discovered nano‐architectures, realized as pyrolytic carbon by two‐photon lithography, deliver 18–23% higher stiffness and 26–
Jinwook Yeo +4 more
wiley +1 more source
Anti-noise variational sparse Bayesian estimation ghost imaging based on 3Level factor graph. [PDF]
Sci RepXiang S +9 more
europepmc +1 more source
LLM‐Assisted Design of Ultralow‐κ$\kappa$ Chalcogenides
Advanced Science, EarlyView.An AI assisted, physics guided workflow accelerates the discovery of ultralow thermal conductivity materials by combining Bayesian optimization, evidence conditioned LLM reasoning, and automated physics‐based validation. The framework uncovers dynamically stable Ag based chalcogenides with ultralow thermal conductivity and promising thermoelectric ...
Yujie Liu +9 more
wiley +1 more source
Bayesian estimation of sensory priors in human spatial orientation. [PDF]
J NeurophysiolTian J +5 more
europepmc +1 more source