Results 111 to 120 of about 41,575 (296)

(Pen-) Ultimate DNN Pruning

CoRR, 2019
DNN pruning reduces memory footprint and computational work of DNN-based solutions to improve performance and energy-efficiency. An effective pruning scheme should be able to systematically remove connections and/or neurons that are unnecessary or redundant, reducing the DNN size without any loss in accuracy.
Marc Riera, José-María Arnau, Antonio González 0001   +2 more
openaire   +2 more sources

Deep Learning‐Assisted Coherent Raman Scattering Microscopy

Advanced Intelligent Discovery, EarlyView.
The analytical capabilities of coherent Raman scattering microscopy are augmented through deep learning integration. This synergistic paradigm improves fundamental performance via denoising, deconvolution, and hyperspectral unmixing. Concurrently, it enhances downstream image analysis including subcellular localization, virtual staining, and clinical ...
Jianlin Liu, Rujia Liu, Xinyan Zhang, Xun Chen, Shuhua Yue   +4 more
wiley   +1 more source

Using deep neural network with small dataset to predict material defects

Materials & Design, 2019
Deep neural network (DNN) exhibits state-of-the-art performance in many fields including microstructure recognition where big dataset is used in training.
Shuo Feng, Huiyu Zhou, Hongbiao Dong
doaj   +1 more source

Deep Learning‐Assisted Design of Mechanical Metamaterials

Advanced Intelligent Discovery, EarlyView.
This review examines the role of data‐driven deep learning methodologies in advancing mechanical metamaterial design, focusing on the specific methodologies, applications, challenges, and outlooks of this field. Mechanical metamaterials (MMs), characterized by their extraordinary mechanical behaviors derived from architected microstructures, have ...
Zisheng Zong, Pu Wen, Zhiping Chai, Dunxuan Wu, Han Ding, Zhigang Wu   +5 more
wiley   +1 more source

qGamma: an exploration framework for the mapping of mixed-precision quantized DNN models on hardware accelerators [PDF]

LAUREA MAGISTRALEAl giorno d’oggi, c’è un grande interesse riguardo gli acceleratori per applicazioni di Intelligenza Artificiale nell’ambito dell’on-the-edge computing.
ALTAMURA, LUIGI
core  

Data‐Guided Photocatalysis: Supervised Machine Learning in Water Splitting and CO2 Conversion

Advanced Intelligent Discovery, EarlyView.
This review highlights recent advances in supervised machine learning (ML) for photocatalysis, emphasizing methods to optimize photocatalyst properties and design materials for solar‐driven water splitting and CO2 reduction. Key applications, challenges, and future directions are discussed, offering a practical framework for integrating ML into the ...
Paul Rossener Regonia, Christian Mark Pelicano   +1 more
wiley   +1 more source

A Mononuclear Ruthenium(V)‐Imido Complex With Hydrogen Bonding in the Second Coordination Sphere Forming Aziridines Without N‐Substituents From Alkenes in Water

Angewandte Chemie, EarlyView.
This study employs a RuV═NH complex with hydrogen‐bonding (HB) sites in the SCS to afford non‐N‐substituted aziridines selectively. Nitrogen‐atom transfer occurs from the RuV═NH complex to alkenes in water to produce aziridine derivatives in high yields.
Tomoya Ishizuka, Chisato Ogawa, Yoshihito Shiota, Shunsuke Nozawa, Hiroaki Kotani, Shin‐ichi Adachi, Kazunari Yoshizawa, Takahiko Kojima   +7 more
wiley   +2 more sources

Comparison of DeePMD, MTP, GAP, ACE and MACE Machine‐Learned Potentials for Radiation‐Damage Simulations: A User Perspective

Advanced Intelligent Discovery, EarlyView.
The authors evaluated six machine‐learned interatomic potentials for simulating threshold displacement energies and tritium diffusion in LiAlO2 essential for tritium production. Trained on the same density functional theory data and benchmarked against traditional models for accuracy, stability, displacement energies, and cost, Moment Tensor Potential ...
Ankit Roy, Ram Devanathan, Sarah Allec, Giridhar Nandipati, Andrew M. Casella, David J. Senor, Duane D. Johnson, Ganesh Balasubramanian, Ayoub Soulami   +8 more
wiley   +1 more source

Optimization Chatbot Services Based on DNN-Bert for Mental Health of University Students

Journal of Applied Informatics and Computing
Attention to mental health is increasing in Indonesia, especially with the recent increase in the number of cases of stress and suicide among students. Therefore, this research aims to provide a solution to overcome mental health problems by introducing ...
Azmi Abiyyu Dzaky, Junta Zeniarja, Catur Supriyanto, Guruh Fajar Shidik, Cinantya Paramita, Egia Rosi Subhiyakto, Sindhu Rakasiwi   +6 more
doaj   +1 more source

Toward Predictable Nanomedicine: Current Forecasting Frameworks for Nanoparticle–Biology Interactions

Advanced Intelligent Discovery, EarlyView.
Predictive models successfully screen nanoparticles for toxicity and cellular uptake. Yet, complex biological dynamics and sparse, nonstandardized data limit their accuracy. The field urgently needs integrated artificial intelligence/machine learning, systems biology, and open‐access data protocols to bridge the gap between materials science and safe ...
Mariya L. Ivanova, Michael Nicholls, Nicola Russo, Gueorgui Mihaylov, Konstantin Nikolic   +4 more
wiley   +1 more source