Efficient Estimation Methods for the QR Distribution with Type-II Censored Data: An Empirical Validation on Lung Cancer Prognosis. [PDF]
Ramzan Q, Amin M, Alghamdi S, Alharbi R.
europepmc +1 more source
Exfoliated‐MoS2 Gradual Resistive Switching Devices as Artificial Synapses
A vertical memristor based on untreated, exfoliated MoS2 is presented, revealing gradual resistive switching governed by Schottky barrier modulation at the MoS2/metal interface from the trapping/detrapping of charges. Furthermore, the device emulates synaptic‐like plasticity functions, including: potentiation, depression, and spike‐amplitude‐dependent ...
Deianira Fejzaj +3 more
wiley +1 more source
An In-Hospital Mortality Risk Model for Patients Undergoing Coronary Artery Bypass Grafting Based on Machine Learning: Cohort Study. [PDF]
Zhu K, Lu W, Liu S, Lin H, Hou J.
europepmc +1 more source
A hybrid oscillator combining an atomic swith and an insulator‐to metal transition device converts stochastic filament resistance into random oscillation periods. The interaction between highly variable atomic switching and stable high‐frequency oscillation amplifies entropy, enabling fast energy‐efficient, and reliable true random number generation ...
Sunhyeong Lee +4 more
wiley +1 more source
Training thermodynamic computers by gradient descent. [PDF]
Whitelam S.
europepmc +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
A comparative analysis of machine learning classifiers for modeling the number of liveborn piglets. [PDF]
Yang J +6 more
europepmc +1 more source
In this work, low‐resolution infrared imaging is combined with a 28 nm FeFET IMC architecture to enable compact, energy‐efficient edge inference. MLC FeFET devices are experimentally characterized, and controlled multi‐level current accumulation is validated at crossbar array level.
Alptekin Vardar +9 more
wiley +1 more source
A comparative evaluation of gradient-based optimization algorithms for short-term load forecasting using deep residual networks. [PDF]
Liu J +4 more
europepmc +1 more source
On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification
ABSTRACT Reservoir computing (RC) is an emerging recurrent neural network architecture that has attracted growing attention for its low training cost and modest hardware requirements. Memristor‐based circuits are particularly promising for RC, as their intrinsic dynamics can reduce network size and parameter overhead in tasks such as time‐series ...
Rishona Daniels +4 more
wiley +1 more source

