Results 151 to 160 of about 162,380 (268)

Fundamental Challenges, Physical Implementations, and Integration Strategies for Ising Machines in Large‐Scale Optimization Tasks

Advanced Electronic Materials, EarlyView.
Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley   +1 more source

An Improved Monte Carlo Method for Quantitative Analysis of Transparency Degradation Caused by Corneal Edema. [PDF]

Transl Vis Sci Technol
Li S, Liu Y, Yang B, Lv S, Zou X, Tang L, Zhou L, Jiang Z, Liu Z.   +8 more
europepmc   +1 more source

Calculation of Effective Thermal Conductivity for Human Skin Using the Fractal Monte Carlo Method. [PDF]

Micromachines (Basel), 2022
Rojas-Altamirano G, Vargas RO, Escandón JP, Mil-Martínez R, Rojas-Montero A.   +4 more
europepmc   +1 more source

Efficient In‐Hardware Matrix–Vector Multiplication and Addition Exploiting Bilinearity of Schottky Barrier Transistors Processed on Industrial FDSOI

Advanced Electronic Materials, EarlyView.
ABSTRACT Machine learning and Artificial Intelligence (AI) tasks have stretched traditional hardware to its limits. In‐hardware computation is a novel approach that aims to run complex operations, such as matrix–vector multiplication, directly at the device level for increased efficiency.
Juan P. Martinez, Niladri Bhattacharjee, Yuxuan He, Giulio Galderisi, Brojogopal Sapui, Sara Mannaa, Ian O'Connor, Violetta Sessi, Peter Javorka, Thomas Mikolajick, Jens Trommer   +10 more
wiley   +1 more source

Optimization of sterilization efficiency for medical surgical blades in gamma irradiation using the Monte Carlo method. [PDF]

Sci Rep
Bian J, Liu F, Tang Y, Zhao Q, Lyu X, Cheng J.   +5 more
europepmc   +1 more source

Application of a Markov chain Monte Carlo method for robust quantification in chemical exchange saturation transfer magnetic resonance imaging. [PDF]

Quant Imaging Med Surg, 2022
Zhao Y, Wang X, Wang Y, Wang B, Zhang L, Wei X, He X.   +6 more
europepmc   +1 more source

On the Role of Preprocessing and Memristor Dynamics in Reservoir Computing for Image Classification

Advanced Electronic Materials, EarlyView.
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, Duna Wattad, Ronny Ronen, David Saad, Shahar Kvatinsky   +4 more
wiley   +1 more source

The phase transition characteristics of n-pentane in silica slits with different wettability by Monte Carlo method. [PDF]

Sci Rep
Wang Z, Yu C, Zhao J, Fan K, Guo P, Kuang H, Liu H, Tu H, Hu Y, Su Z.   +9 more
europepmc   +1 more source

An Integrated Approach of Learning Genetic Networks From Genome-Wide Gene Expression Data Using Gaussian Graphical Model and Monte Carlo Method. [PDF]

Bioinform Biol Insights, 2023
Zhao H, Datta S, Duan ZH.
europepmc   +1 more source

From Flexible to Conformable Pressure Sensors: Mechanisms, Materials, and Biomedical Applications

Advanced Electronic Materials, EarlyView.
This review highlights recent progress, challenges and future opportunities in pressure sensing for advanced biomedical applications. We summarize key transduction mechanisms and emerging material strategies, discuss representative wearable and implantable applications for continuous physiological monitoring and provide a focused perspective on barrier
Rishabh B. Mishra, Andrea Ottomaniello, Virgilio Mattoli   +2 more
wiley   +1 more source