Results 71 to 80 of about 21,351 (259)

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

Genome‐Wide CRISPR Screen Identifies a microRNA Orchestrating Pleiotropic Resistance to Targeted Therapy and T Cell Immunity in Melanoma

Advanced Science, EarlyView.
A genome‐wide microRNA CRISPR screen identifies miR‐18a as a master regulator of cross‐resistance in melanoma. Loss of miR‐18a activates the AJUBA–YAP/Hippo axis to confer BRAFi resistance and enhances THBS1–CD47 interaction to impair CD8+ T cell immunity. hnRNP A1 is identified as an upstream regulator of miR‐18a processing.
Zhao Wang, Haotian Liu, Xueqi Wang, Jianjin Teng, Zihan Zheng, Jingya Zhang, Wanyi Xiao, Qian Liang, Jiaxin Li, Xiaomeng Jia, Xin Feng, Hongzhang Cui, Menghan Luo, Tielong Yang, Liuxing Wu, Ke Zhao, Weilong Yang, Mulin Jun Li, Dandan Huang, Jilong Yang   +19 more
wiley   +1 more source

Biocuration: Distilling data into knowledge [PDF]

PLOS Biology, 2018
Data, including information generated from them by processing and analysis, are an asset with measurable value. The assets that biological research funding produces are the data generated, the information derived from these data, and, ultimately, the discoveries and knowledge these lead to.
openaire   +6 more sources

From Pores to Pavement: Advanced Modeling of Aluminosilicates for Scalable Carbon Capture in Concrete

Advanced Science, EarlyView.
This study presents a transferable modeling framework for carbon capture using aluminosilicates, integrating Universal Isotherm Modeling with experimental data. It reveals how ultramicropores, alumina content, and amine functionalization influence CO2 adsorption energetics.
Pooja Anil Kumar Nair, Jéssica de O. N. Ribeiro, Murilo Daniel de Mello Innocentini, Kevin Paine, Juliana Calabria‐Holley   +4 more
wiley   +1 more source

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 3D Human Bone and Bone Marrow‐on‐a‐Chip Model for In Vitro Bone Remodeling and Immune Cell Maintenance

Advanced Science, EarlyView.
This study presents a human Bone (and Bone Marrow)‐on‐a‐Chip model based on native human bone scaffolds and autologous cells. Dynamic perfusion and sequential cell seeding replicate the physiological bone remodeling process in vitro, enabling the long‐term culture of functional, mature bone marrow immune subpopulations.
Nina Stelzer, Melanie‐Jasmin Ort, Kristian Händler, Emely Bortel, Ioanna Maria Dimitriou, Martin Textor, Georg N. Duda, Janosch Schoon, Uwe Marx, Uwe Kornak, Annika Winter, Bernhard Hesse, Stefanie Donner, Sebastian Hardt, Oliver Klein, Simon Reinke, Malte Spielmann, Sven Geißler   +17 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

ML Workflows for Screening Degradation‐Relevant Properties of Forever Chemicals

Advanced Science, EarlyView.
The environmental persistence of per‐ and polyfluoroalkyl substances (PFAS) necessitates efficient remediation strategies. This study presents physics‐informed machine learning workflows that accurately predict critical degradation properties, including bond dissociation energies and polarizability.
Pranoy Ray, Andrew R. Castillo, Manoj Kolel‐Veetil, Surya R. Kalidindi   +3 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 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