Výsledky vyhľadávania - "Foundation Models"

Foundational Models for Robotics need to be made Bio-Inspired

Autori: Chen, Liming Nguyen, Sao Mai

Prispievatelia: Chen, Liming Nguyen, Sao Mai

Zdroj: 2025 IEEE International Conference on Advanced Robotics and its Social Impacts (ARSO). :126-133

Predmety: Grounded Reasoning, Sparse Mixture of Experts (MoE), Self-Supervised Learning, Sensorimotor Integration, Bio-Inspired Robotics, Foundation Models for Robotics (FMRs), Intrinsic Motivation, [INFO.INFO-RB] Computer Science [cs]/Robotics [cs.RO], Memory-Augmented Models, Embodied Chain-of-Thought (E-CoT), Embodied AI, Multimodal Learning, Interactive Robot Learning

Popis súboru: application/pdf

Prístupová URL adresa: https://hal.science/hal-05086677v1

SpectralEarth: Training Hyperspectral Foundation Models at Scale

Autori: Nassim Ait Ali Braham Conrad M. Albrecht Julien Mairal a ďalší

Prispievatelia: Nassim Ait Ali Braham Conrad M. Albrecht Julien Mairal a ďalší

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 16780-16797 (2025)

Predmety: foundation model, Self-supervised learning, FOS: Computer and information sciences, foundation models, Hyperspectral imaging, QC801-809, hyperspectral remote sensing, Computer Vision and Pattern Recognition (cs.CV), Geophysics. Cosmic physics, EnMAP, [INFO] Computer Science [cs], artificial intelligence, Ocean engineering, hyperspectral, Artificial Intelligence (cs.AI), Artificial Intelligence, self-supervised learning, Foundation models, Computer Vision and Pattern Recognition, TC1501-1800

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2408.08447
https://doaj.org/article/345bf1b4e3bf4ee683ebdbe53f93436f
https://inria.hal.science/hal-05268748v1/document
https://inria.hal.science/hal-05268748v1
https://doi.org/10.1109/jstars.2025.3581451
https://elib.dlr.de/214763/
https://doi.org/10.1109/jstars.2025.3581451
https://elib.dlr.de/208972/

Towards the next generation of Geospatial Artificial Intelligence

Autori: Mai, Gengchen Xie, Yiqun Jia, Xiaowei a ďalší

Zdroj: International Journal of Applied Earth Observation and Geoinformation. 136

Predmety: 37 Earth Sciences (for-2020), 4013 Geomatic Engineering (for-2020), 40 Engineering (for-2020), 3704 Geoinformatics (for-2020), Machine Learning and Artificial Intelligence (rcdc), Data Science (rcdc), Generic health relevance (hrcs-hc), Geospatial Artificial Intelligence, Heterogeneity-aware GeoAI, Knowledge-Guided GeoAI, Spatial representation learning, Geo-Foundation Models, Fairness-aware GeoAI, Privacy-aware GeoAI, Interpretable and explainable GeoAI, 0406 Physical Geography and Environmental Geoscience (for), 0909 Geomatic Engineering (for), Geological & Geomatics Engineering (science-metrix), 3709 Physical geography and environmental geoscience (for-2020), 4013 Geomatic engineering (for-2020), 4104 Environmental management (for-2020)

Popis súboru: application/pdf

Prístupová URL adresa: https://escholarship.org/uc/item/2nh2w5c8
https://escholarship.org/content/qt2nh2w5c8/qt2nh2w5c8.pdf

Generative AI and Foundation Models

Autori: Venkata, Surendra Reddy Narapareddy

Zdroj: Universal Library of Innovative Research and Studies. :07-21

Predmety: Transformer, Responsible AI, Large Language Models, Generative AI, Multimodal AI, Foundation Models, Neural Networks

HeLoRA: LoRA-heterogeneous Federated Fine-tuning for Foundation Models

Autori: Tarkoma Sasu Fan Boyu Hui Pan a ďalší

Prispievatelia: Tarkoma Sasu Fan Boyu Hui Pan a ďalší

Zdroj: ACM Transactions on Internet Technology. 25:1-22

Predmety: foundation models, Computer and information sciences, Federated learning, fine-tuning, system heterogeneity

Popis súboru: application/pdf

Prístupová URL adresa: http://hdl.handle.net/10138/597478

Ten Challenging Problems in Federated Foundation Models

Autori: Fan, Tao Ren, Chao Yang, Qiang

Zdroj: IEEE Transactions on Knowledge and Data Engineering. 37(7):4314-4337

Predmety: Frequency modulation, Foundation models, Privacy, Optimization, Adaptation models, Watermarking, Knowledge transfer, Training, Fans, Data privacy, Federated foundation models (FedFMs), federated learning, large language models, privacy-preserving Ai

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-368450

3D Part Segmentation via Geometric Aggregation of 2D Visual Features

Autori: Garosi, Marco Teboldi, Riccardo Boscaini, Davide a ďalší

Zdroj: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). :3257-3267

Predmety: 3d part segmentation, training-free, vision foundation models, zero-shot, FOS: Computer and information sciences, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2412.04247
https://ieeexplore.ieee.org/document/10943567
https://hdl.handle.net/11572/453794
https://doi.org/10.1109/WACV61041.2025.00322

Mind the Prompt: A Novel Benchmark for Prompt-Based Class-Agnostic Counting

Autori: Ciampi L. Messina N. Pierucci M. a ďalší

Zdroj: 2025 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). :7970-7979

Predmety: FOS: Computer and information sciences, Counting, Computer Vision, Computer Vision and Pattern Recognition (cs.CV), Computer Science - Computer Vision and Pattern Recognition, Prompt-Based, Arbitrary objects, Effective solution, Evaluation protocol, Foundation models, Model training, Natural languages, Object categories, Object class, Object counting, Class-Agnostic, Benchmark

Popis súboru: application/pdf

Prístupová URL adresa: http://arxiv.org/abs/2409.15953
https://hdl.handle.net/20.500.14243/552089
https://ieeexplore.ieee.org/document/10944113
https://doi.org/10.1109/WACV61041.2025.00774
https://hdl.handle.net/11568/1309982
https://doi.org/10.1109/wacv61041.2025.00774

Legal Implications of Vision-Language Foundation Models (VLFM) in Industrial Applications in Europe: An Inquiry into Data Protection, Copyright, and AI Regulation

Autori: Moenck, Keno Wais, Niklas Gomse, Martin a ďalší

Zdroj: Procedia CIRP. 134:999-1004

Predmety: AI Act | Europe | Foundation Models | Legal Implications | Manufacturing

Transformative advances in single-cell omics: a comprehensive review of foundation models, multimodal integration and computational ecosystems

Autori: Taylor Yiu Bin Chen Haoyu Wang a ďalší

Zdroj: Journal of Translational Medicine, Vol 23, Iss 1, Pp 1-18 (2025)

Predmety: Single-cell omics, Foundation models, Multimodal integration, Computational ecosystems, Cell type annotation, Perturbation modeling, Medicine

Popis súboru: electronic resource

Relation: https://doaj.org/toc/1479-5876

Prístupová URL adresa: https://doaj.org/article/7b5bb4eb3db5419f87383cf3da6320bc

Lightweight self supervised learning framework for domain generalization in histopathology

Autori: Abubakr Shafique Amanda Dy Xiaoli Qin a ďalší

Zdroj: Scientific Reports, Vol 15, Iss 1, Pp 1-17 (2025)

Predmety: Digital pathology, Domain generalization, Domain shift, Foundation models, Self-supervised learning, Light-weight models, Medicine, Science

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2045-2322

Prístupová URL adresa: https://doaj.org/article/c4fa5058d200487bb221a7f6c177653b

Artificial intelligence and climate change: the potential roles of foundation models

Autori: Walter Leal Filho Marina Kovaleva Artie W. Ng a ďalší

Zdroj: Environmental Sciences Europe, Vol 37, Iss 1, Pp 1-9 (2025)

Predmety: Artificial intelligence (AI), Foundation models (FMs), Climate change, Adaptation, Mitigation, Environmental sciences, GE1-350, Environmental law, K3581-3598

Popis súboru: electronic resource

Relation: https://doaj.org/toc/2190-4715

Prístupová URL adresa: https://doaj.org/article/2e3edfbc2192435c847c47b67645700f

Comparative Analysis of Classical Models and Foundation Models for Retail Sales Forecasting

Autori: Nascimento, Maria Madalena Mendes de Matos Baião do Baptista, Maria Helena Miranda Flores RUN

Prispievatelia: Nascimento, Maria Madalena Mendes de Matos Baião do Baptista, Maria Helena Miranda Flores RUN

Predmety: Forecasting, Foundation Models, Methodological Comparison, Model Performance, Univariate Time Series, Holiday and Promotion Impact, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

Popis súboru: application/pdf

Dostupnosť: http://hdl.handle.net/10362/191108

Forecasting Overnight Stays Using Foundation Models

Autori: Kayseller, Ricardo Jorge Gomes António, Nuno Miguel da Conceição RUN

Prispievatelia: Kayseller, Ricardo Jorge Gomes António, Nuno Miguel da Conceição RUN

Predmety: Tourism Demand Forecasting, Time Series Forecasting, Machine Learning, Large Language Models, Foundation Models, SDG 8 - Decent work and economic growth, SDG 9 - Industry, innovation and infrastructure, Domínio/Área Científica::Ciências Naturais::Ciências da Computação e da Informação

Popis súboru: application/pdf

Dostupnosť: http://hdl.handle.net/10362/190213

Leveraging knowledge for explainable AI in personalized cancer treatment: challenges and future directions

Autori: Daghir-Wojtkowiak, Emilia Alfaro, Javier Mastromattei, Michele a ďalší

Prispievatelia: Daghir-Wojtkowiak, Emilia Alfaro, Javier Mastromattei, Michele a ďalší

Zdroj: Frontiers in Digital Health. 7

Predmety: MCC, SDG 3 - Good Health and Well-being, AI, Knowledge graphs, T-DAS, Personalized cancer treatment, personalized medicine, knowledge graphs, explainability, AI, foundation models, clinical decision-making, multi-tiered technology, Foundation models, Explainability, Clinical decision-making

Popis súboru: application/pdf

Prístupová URL adresa: http://zaguan.unizar.es/record/163325
https://hdl.handle.net/10023/32962

Measuring the openness of AI foundation models: competition and policy implications: competition and policy implications

Autori: Schrepel, Thibault Potts, Jason

Zdroj: Information & Communications Technology Law. 34:279-304

Predmety: innovation commons, open source, generative AI, antitrust, large language models, Foundation models, competition

Prístupová URL adresa: https://research.vu.nl/en/publications/f53a2577-1dab-428f-9d29-797f902d489b
https://hdl.handle.net/1871.1/f53a2577-1dab-428f-9d29-797f902d489b
https://doi.org/10.1080/13600834.2025.2461953

Beyond digital twins: the role of foundation models in enhancing the interpretability of multiomics modalities in precision medicine

Autori: Sakhaa Alsaedi Xin Gao Takashi Gojobori

Zdroj: FEBS Open Bio, Vol 15, Iss 8, Pp 1192-1208 (2025)

Predmety: LLM, foundation models, QH301-705.5, biomedicine, bioinformatics, Biology (General), digital twins, multiomics

Prístupová URL adresa: https://pubmed.ncbi.nlm.nih.gov/39995150
https://doaj.org/article/b55219e3cbf64f5b95c524ce70727195

Artwork recommendations guided by foundation models: survey and novel approach

Autori: Yemelianenko, Tetiana Tkachenko, Iuliia Masclef, Tess a ďalší

Prispievatelia: Yemelianenko, Tetiana Tkachenko, Iuliia Masclef, Tess a ďalší

Zdroj: Multimedia Tools and Applications. 84:39085-39106

Predmety: DINOv2, Computer Vision, Artwork Classification, Foundation Models, PEFT, [INFO] Computer Science [cs], LoRA

Popis súboru: application/pdf

Prístupová URL adresa: https://hal.science/hal-04829842v1

Foundation Models Defining a New Era in Vision: A Survey and Outlook

Autori: Awais, Muhammad Naseer, Muzammal Khan, Salman a ďalší

Zdroj: IEEE Transactions on Pattern Analysis and Machine Intelligence. 47(4):2245-2264

Predmety: Adaptation models, Computational modeling, Foundation models, Data models, Surveys, Visualization, Reviews, Computer vision, Computer architecture, Context modeling, Contrastive learning, language and vision, large language models, masked modeling, self-supervised learning

Popis súboru: print

Prístupová URL adresa: https://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-212285

Real-Time High-Resolution Global PWV Retrieval Based on Weather Forecast Foundation Models and Cross-Validation With Radiosonde, GNSS, and ERA5

Autori: Junsheng Ding Wu Chen Junping Chen a ďalší

Zdroj: IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 15972-15981 (2025)

Predmety: weather forecast foundation models, Ocean engineering, real time, surface-domain, QC801-809, Geophysics. Cosmic physics, High resolution, precipitable water vapor (PWV), TC1501-1800

Prístupová URL adresa: https://doaj.org/article/d960d01a13ea4d9a9aba5c8a58068d6d