Results 81 to 90 of about 3,629,477 (294)
In this study, the interplay of dipolar dynamics and ionic charge transport in MOF compounds is investigated. Synthesizing the novel structure CFA‐25 with integrated freely rotating dipolar groups, local and macroscopic effects, including interactions with Cs cations are explored.
Ralph Freund +6 more
wiley +1 more source
An all‐in‐one analog AI accelerator is presented, enabling on‐chip training, weight retention, and long‐term inference acceleration. It leverages a BEOL‐integrated CMO/HfOx ReRAM array with low‐voltage operation (<1.5 V), multi‐bit capability over 32 states, low programming noise (10 nS), and near‐ideal weight transfer.
Donato Francesco Falcone +11 more
wiley +1 more source
Real-Time Motion Detection Network Based on Single Linear Bottleneck and Pooling Compensation
Motion (change) detection is a basic preprocessing step in video processing, which has many application scenarios. One challenge is that deep learning-based methods require high computation power to improve their accuracy.
Huayang Cheng, Yunchao Ding, Lu Yang
doaj +1 more source
Expectation Propagation for Approximate Inference: Free Probability Framework
We study asymptotic properties of expectation propagation (EP) -- a method for approximate inference originally developed in the field of machine learning.
Opper, Manfred, Çakmak, Burak
core +1 more source
Here, we present a high‐density PEDOT eutectogel electrode array for enhanced body surface gastric mapping. Silver electrodes are blade‐coated onto flexible substrates, followed by electrogelation of PEDOT:PSS and the deposition of a PEDOT:LS eutectogel.
Christopher Slaughter +8 more
wiley +1 more source
Information Bottleneck for Estimating Treatment Effects with Systematically Missing Covariates
Estimating the effects of an intervention from high-dimensional observational data is a challenging problem due to the existence of confounding. The task is often further complicated in healthcare applications where a set of observations may be entirely ...
Sonali Parbhoo +3 more
doaj +1 more source
Differentiable Information Bottleneck for Deterministic Multi-View Clustering [PDF]
In recent several years, the information bottleneck (IB) principle provides an information-theoretic framework for deep multiview clustering (MVC) by compressing multi-view observations while preserving the relevant information of multiple views ...
Xiaoqiang Yan +3 more
semanticscholar +1 more source
Convexity and Operational Interpretation of the Quantum Information Bottleneck Function
In classical information theory, the information bottleneck method (IBM) can be regarded as a method of lossy data compression which focusses on preserving meaningful (or relevant) information. As such it has recently gained a lot of attention, primarily
Datta, Nilanjana +2 more
core +1 more source
This review systematically highlights the latest achievements in mixed‐valence states relevant to hydrogen and oxygen evolution reactions, providing essential insights into future directions and methods for large‐scale practical implementation. This critical review is expected to provide an overview of recent advancements in diverse valence‐state metal
Jitendra N. Tiwari +4 more
wiley +1 more source
Efficient signal representation is essential for the functioning of living and artificial systems operating under resource constraints. A widely recognized framework for deriving such representations is the information bottleneck method, which yields the
Vahe Galstyan +2 more
doaj +1 more source

