Results 41 to 50 of about 43,795 (242)

All‐in‐One Analog AI Hardware: On‐Chip Training and Inference with Conductive‐Metal‐Oxide/HfOx ReRAM Devices

Advanced Functional Materials, EarlyView.
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, Victoria Clerico, Wooseok Choi, Tommaso Stecconi, Folkert Horst, Laura Bégon‐Lours, Matteo Galetta, Antonio La Porta, Nikhil Garg, Fabien Alibart, Bert Jan Offrein, Valeria Bragaglia   +11 more
wiley   +1 more source

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

Advanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi, Sumukh Shankar Sharadaprasad, Rochus Schmid   +2 more
wiley   +1 more source

On Minimum Bregman Divergence Inference

Mathematics
The density power divergence (DPD) is a well-studied member of the Bregman divergence family and forms the basis of widely used minimum divergence estimators that balance efficiency and robustness. In this paper, we introduce and study a new sub-class of
Soumik Purkayastha, Ayanendranath Basu
doaj   +1 more source

Semiparametric inference for the recurrent event process by means of a single-index model [PDF]

, 2014
In this paper, we introduce new parametric and semiparametric regression techniques for a recurrent event process subject to random right censoring. We develop models for the cumula- tive mean function and provide asymptotically normal estimators.
Bouaziz, Olivier, Geffray, Ségolen, Lopez, Olivier   +2 more
core   +5 more sources

Digital Actuation Control of Soft Robotic Origami With Self‐Folding Liquid Crystal Elastomer Hinges

Advanced Functional Materials, EarlyView.
Self‐folding soft‐rigid hybrid robotic origami is enabled by liquid crystal elastomer actuators with embedded Joule heating and closed‐loop digital control. Digitally addressable hinges provide reversible and programmable transitions between distinct folded states while maintaining actuation performance at high cycle counts (over 1500).
David C. Bershadsky, Tuo Zhao, Glaucio H. Paulino, Emily C. Davidson   +3 more
wiley   +1 more source

Inference for Partially Observed Multitype Branching Processes and Ecological Applications [PDF]

, 2008
Multitype branching processes with immigration in one type are used to model the dynamics of stage-structured plant populations. Parametric inference is first carried out when count data of all types are observed.
David, Olivier, Garnier, Aurélie, Laredo, Catherine   +2 more
core   +2 more sources

Statistical inference for semiparametric varying-coefficient partially linear models with error-prone linear covariates

, 2009
We study semiparametric varying-coefficient partially linear models when some linear covariates are not observed, but ancillary variables are available.
Liang, Hua, Zhou, Yong
core   +1 more source

Dual‐Programmable Architected Magnetic Soft Materials: Tuning Mechano–Electric Responses by Inverse Design

Advanced Functional Materials, EarlyView.
ABSTRACT Materials that can deform, sense, and autonomously generate power in response to wireless magnetic fields, through both magnetic‐actuated shape transformation and charge generation, are an emerging focus in advanced functional materials research.
Zhi Zhao, Xiaojia Shelly Zhang
wiley   +1 more source

Nonlinear Stochastic Modeling with Heterogeneous Covariates for Degradation Analysis Applied to Wax Lubrication Layer

Mathematics
Wax is a commonly used lubricant in many applications. To ensure its security and dependability, degradation analyses for creep are typically conducted. However, challenges arise due to the poorly understood inherent mechanisms of wax and the complicated
Shixiang Li, Yubin Tian, Dianpeng Wang
doaj   +1 more source

Nonconcave penalized likelihood with a diverging number of parameters

, 2003
A class of variable selection procedures for parametric models via nonconcave penalized likelihood was proposed by Fan and Li to simultaneously estimate parameters and select important variables.
Fan, Jianqing, Peng, Heng
core   +4 more sources