Results 61 to 70 of about 142,324 (226)

Knowledge Distillation Based on Fitting Ground-Truth Distribution of Images

Applied Sciences
Knowledge distillation based on the features from the penultimate layer allows the student (lightweight model) to efficiently mimic the internal feature outputs of the teacher (high-capacity model).
Jianze Li, Zhenhua Tang, Kai Chen, Zhenlei Cui   +3 more
doaj   +1 more source

A Tri‐Culture Heart‐on‐a‐Chip Platform With iPSC‐Derived Cardiac Cells for Predictive Cardiotoxicity Testing

Advanced Healthcare Materials, EarlyView.
This study presents the first entirely isogenic heart‐on‐chip, unifying cardiomyocytes, fibroblasts, and endothelial cells from a single iPSC source. The platform reveals a critical biological insight: the endothelium actively shields cardiac tissue from drug‐induced toxicity, challenging the predictive accuracy of conventional, avascular models for ...
Karine Tadevosyan, Jose Yeste, Mar Alvarez, Denise Marrero, Laura Casado‐Medina, Yvonne Richaud‐Patin, Olalla García‐Iglesias, Jagoda Litowczenko, Alba Morillas Garcia, Anton Guimerà, Xavi Illa, Rosa Villa, Angel Raya   +12 more
wiley   +1 more source

Aortic KD former: aortic multiclass segmentation using SegFormer via knowledge distillation

Machine Learning: Science and Technology
In this paper, we investigate the effectiveness of knowledge distillation for semantic segmentation of aortic structures using deep learning models. We employ SegFormer B5 as the teacher model and SegFormer B0 as the student model. Knowledge distillation
Nancy Mohamed Soliman, Medhat Awadalla, Mohamed Elhelw, Mustafa Elattar   +3 more
doaj   +1 more source

Application of Decoupled Knowledge Distillation Method in Document-level RelationExtraction [PDF]

Jisuanji kexue
Document-level relation extraction is an important research direction in the field of natural language processing,aiming to extract semantic relationships between entities from unstructured or semi-structured natural language documents.This paper ...
LIU Le, XIAO Rong, YANG Xiao
doaj   +1 more source

Tuning the Testicular Microenvironment for Enhancing Human Sertoli Cells Maturation and Functionality In Vitro

Advanced Healthcare Materials, EarlyView.
An in vitro testicular model is developed by generating connective tissue equivalents from human dermal fibroblast‐derived microtissues and coupling them with human Sertoli cells or human Sertoli cell spheroids. This engineered microenvironment supports Sertoli cell maturation and functionality, providing a promising platform for studying human ...
Annachiara Scalzone, Giorgia Imparato, Chiara Ausilio, Valentina Mollo, Paolo Antonio Netti   +4 more
wiley   +1 more source

A Review of Knowledge Distillation Technology from an Intellectual Property Law Perspective

Journal of Intellectual Property
The emergence of the innovative AI model DeepSeek, a low-cost and high-efficiency model, is having a significant impact on the global AI industry. By utilizing technologies such as the Mixture of Experts, FP8, and Knowledge Distillation, DeepSeek has ...
Myoungseob Mun
doaj   +1 more source

Oxygen Supply of Islets of Langerhans by Photosynthetically Active Microalgae in Bioprinted Co‐Cultures Maintains Their Function in a Hypoxic Environment

Advanced Healthcare Materials, EarlyView.
This study developed a bioprinted co‐culture system embedding rat pancreatic islets and Scenedesmus sp. microalgae spatially defined in close vicinity. Red light was found optimal to ensure microalgal photosynthesis while maintaining islet viability and functionality. A tailored co‐culture medium supported both cell types.
Finn Dani, Sarah Duin, Ashwini Rahul Akkineni, Susann Lehmann, Barbara Ludwig, Michael Kühl, Michael Gelinsky, Anja Lode   +7 more
wiley   +1 more source

Multistage feature fusion knowledge distillation

Scientific Reports
Generally, the recognition performance of lightweight models is often lower than that of large models. Knowledge distillation, by teaching a student model using a teacher model, can further enhance the recognition accuracy of lightweight models.
Gang Li, Kun Wang, Pengfei Lv, Pan He, Zheng Zhou, Chuanyun Xu   +5 more
doaj   +1 more source

A survey on knowledge distillation: Recent advancements

Machine Learning with Applications
Deep learning has achieved notable success across academia, medicine, and industry. Its ability to identify complex patterns in large-scale data and to manage millions of parameters has made it highly advantageous. However, deploying deep learning models
Amir Moslemi, Anna Briskina, Zubeka Dang, Jason Li   +3 more
doaj   +1 more source

2D Co‐Mo‐Hydroxide‐Based Multifunctional Material for the Development of H2‐Based Clean Energy Technologies

Advanced Materials, EarlyView.
2D α‐Co(OH)2 interleaved with Mo species displays an appealing dual functionality for the production and use of green hydrogen.Mo incorporation greatly benefits the electrochemical behaviour in Oxygen Evolution Reaction for H2 production, while the magnetocaloric response at liquid H2 temperature paves the way for alternative cryogenic refrigerants ...
Daniel Muñoz‐Gil, Celia Castillo‐Blas, Dawid Krystian Feler, Isabel Gómez‐Recio, Miguel Tinoco, Ana Querejeta‐Fernández, Rodrigo González‐Prieto, Felipe Gándara, Romualdo Santos Silva Jr, Pilar Ferrer, Carlos Prieto, Luc Lajaunie, José Luis Martinez‐Peña, María Luisa Ruiz‐González, José María González‐Calbet   +14 more
wiley   +1 more source