Projects funded by the NCN

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144 projects found matching your search criteria :

  1. Uncovering the Mysteries of MoE: Developing better understanding and performance of Mixture-of-Experts Transformers

    Call: PRELUDIUM 24 , Panel: ST6

    Principal investigator: Maciej Kacper Pióro

    Instytut Podstawowych Problemów Techniki Polska Akademia Nauk

  2. Boosting Neural Network Efficiency by Examining Early Training Patterns

    Call: PRELUDIUM 24 , Panel: ST6

    Principal investigator: Mateusz Piotr Pyla

    Uniwersytet Jagielloński

  3. EEVONN: Embedded Event-Based Visual Odometry Using Neural Networks

    Call: PRELUDIUM 24 , Panel: ST6

    Principal investigator: Mateusz Patryk Wąsala

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

  4. Amortized Causal Discovery via Prior-Fitted Networks

    Call: PRELUDIUM 24 , Panel: ST6

    Principal investigator: Mateusz Kajetan Olko

    Uniwersytet Warszawski

  5. High-Spatial Resolution Electrical Capacitance Tomography

    Call: OPUS 29 , Panel: ST7

    Principal investigator: dr Damian Mateusz Wanta

    Politechnika Warszawska

  6. Explanation of Pre-Trained deep learning models via Prototypes

    Call: PRELUDIUM 24 , Panel: ST6

    Principal investigator: Piotr Borycki

    Uniwersytet Jagielloński

  7. Towards accurate universal machine learning potentials for electronic excited-state simulations

    Call: PRELUDIUM 24 , Panel: ST4

    Principal investigator: Mikołaj Jan Martyka

    Uniwersytet Warszawski

  8. Physics Informed Neural Networks with hierarchical matrices and Petrov-Galerkin method (HPG-PINN)

    Call: OPUS 29 , Panel: ST6

    Principal investigator: dr Tomasz Służalec

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

  9. Multimodal learning for medical image analysis

    Call: OPUS 29 , Panel: ST6

    Principal investigator: dr Szymon Stefan Płotka

    Uniwersytet Jagielloński

  10. Flow Boiling Heat Transfer in Annular and Rectangular Minichannels Using Machine Learning-Based Modeling

    Call: OPUS 29 , Panel: ST8

    Principal investigator: prof. Magdalena Janina Piasecka

    POLITECHNIKA ŚWIĘTOKRZYSKA

  11. NMR Spectroscopy as Molecular Language: A Deep Learning Approach to Bioactivity Prediction

    Call: PRELUDIUM 24 , Panel: NZ7

    Principal investigator: Arkadiusz Bogumił Leniak

    Instytut Farmakologii PAN

  12. Novel neural representations for ultrasound imaging

    Call: OPUS 29 , Panel: ST7

    Principal investigator: dr hab. Michał Byra

    Instytut Podstawowych Problemów Techniki Polska Akademia Nauk

  13. Thermodynamic modeling combined with new measurement techniques of the physicochemistry of liquid-liquid equilibrium in ...

    Call: OPUS 28 , Panel: ST4

    Principal investigator: dr hab. Mirosław Adam Chorążewski

    UNIWERSYTET ŚLĄSKI

  14. [DeepSee] Deep learning single-shot in-line quantitative phase imaging

    Call: OPUS 28 , Panel: ST7

    Principal investigator: dr Maria Cywińska

    Politechnika Warszawska

  15. Sustainable event-based vision for scene perception and understanding by autonomous robots

    Call: OPUS 28 , Panel: ST6

    Principal investigator: prof. Bogdan Kwolek

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

  16. Recognition of multi-modal patterns in full-slide histopathological images using large vision and language models.

    Call: OPUS 28 , Panel: ST6

    Principal investigator: prof. Bogusław Antoni Cyganek

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

  17. Calculus of variation for Machine Learning Problems

    Call: OPUS 28 , Panel: ST6

    Principal investigator: dr hab. Błażej Grzegorz Miasojedow

    Uniwersytet Warszawski

  18. GENIE-MRI: Generative Neural Networks for Image Exchange in breast MRI

    Call: SONATA 20 , Panel: ST6

    Principal investigator: dr Andrzej Liebert

    Instytut Podstaw Informatyki PAN

  19. F+E: Enchancing Perception through the Integration of Frame and Event Cameras

    Call: PRELUDIUM 23 , Panel: ST6

    Principal investigator: Kamil Andrzej Jeziorek

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

  20. Hardware-Aware Neural Network Design for Event-Based Object Detection

    Call: PRELUDIUM 23 , Panel: ST6

    Principal investigator: Piotr Stanisław Wzorek

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

  21. Network Neutral Traffic Classification and Management

    Call: OPUS 27 , Panel: ST7

    Principal investigator: dr hab. Robert Wójcik

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie

  22. Quantum Spin Liquids and other nontrivial low-dimensional spin structures

    Call: OPUS 27 , Panel: ST3

    Principal investigator: prof. Maciej Marcin Maśka

    Politechnika Wrocławska

  23. Novel transformer-based architectures for time series classification based on symbolic data representation

    Call: OPUS 27 , Panel: ST6

    Principal investigator: dr hab. Agnieszka Jastrzębska

    Politechnika Warszawska

  24. MLAdapt - Self-Adapting Machine Learning

    Call: SONATA 19 , Panel: ST6

    Principal investigator: dr Bartłomiej Twardowski

    IDEAS NCBR Sp. z o.o.

  25. Innovative broadband dielectric spectroscopy techniques as a tool for efficient monitoring and analysis of composition a...

    Call: SONATA 19 , Panel: ST7

    Principal investigator: dr hab. Ilona Kinga Piekarz

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie, Wydział Informatyki, Elektroniki i Telekomunikacji

  26. Neural Environment Model and Motion Constraints in Robot Motion Planning

    Call: OPUS 26 , Panel: ST6

    Principal investigator: dr hab. Dominik Belter

    Politechnika Poznańska, Wydział Automatyki, Robotyki i Elektrotechniki

  27. Application of artificial intelligence to predict the presence of left atrial appendage thrombus based on transthoracic ...

    Call: SONATA 19 , Panel: NZ5

    Principal investigator: dr Konrad Pieszko

    Uniwersytet Zielonogórski, Collegium Medicum

  28. Groundwater Resilience Assessment through iNtegrated Data Exploration for Ukraine

    Call: IMPRESS-U , Panel: ST10

    Principal investigator: prof. Tatiana Solovey

    Państwowy Instytut Geologiczny - Państwowy Instytut Badawczy

  29. Predictive modelling of pulsating waterjet erosion of biometals (25-14017L)

    Call: OPUS 26 (LAP) , Panel: ST8

    Principal investigator: dr Munish Kumar Gupta

    Politechnika Opolska, Wydział Mechaniczny

  30. EAGER: IMPRESS-U: Random Matrix Theory and its Applications to Deep Learning

    Call: IMPRESS-U , Panel: ST1

    Principal investigator: dr hab. Ganna Lytova

    Uniwersytet Opolski

  31. Sustainable computer vision for autonomous machines

    Call: SONATA BIS 13 , Panel: ST6

    Principal investigator: dr hab. Bartosz Michał Zieliński

    IDEAS NCBR Sp. z o.o.

  32. Deep learning for tabular data

    Call: SONATA BIS 13 , Panel: ST6

    Principal investigator: dr hab. Marek Śmieja

    Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

  33. Towards superhuman performance in solving complex reasoning problems with Advanced Subgoal Search

    Call: PRELUDIUM 22 , Panel: ST6

    Principal investigator: Michał Zawalski

    Uniwersytet Warszawski, Wydział Matematyki, Informatyki i Mechaniki

  34. Computationally efficient dynamic neural networks

    Call: PRELUDIUM 22 , Panel: ST6

    Principal investigator: Bartosz Wójcik

    IDEAS NCBR Sp. z o.o.

  35. Acceleration and compression of deep neural networks using low-rank approximation methods

    Call: PRELUDIUM 22 , Panel: ST6

    Principal investigator: Mateusz Gabor

    Politechnika Wrocławska

  36. Uncovering structure in neural network representations

    Call: OPUS 25 , Panel: ST6

    Principal investigator: dr hab. Marcin Michał Kurdziel

    Akademia Górniczo-Hutnicza im. Stanisława Staszica w Krakowie, Wydział Informatyki

  37. Ultrafast optical spiking neuron based on microcavities with exciton-polaritons - study of spiking mechanism, cascadabil...

    Call: OPUS 25 , Panel: ST3

    Principal investigator: dr Krzysztof Tyszka

    Uniwersytet Warszawski, Wydział Fizyki

  38. Meta-learning as a machine learning tool for experimental boosting of sorption properties of ionic liquids

    Call: PRELUDIUM 22 , Panel: ST5

    Principal investigator: Karol Daniel Baran

    Politechnika Gdańska

  39. Where to look next - guiding active visual exploration with internal model uncertainty

    Call: PRELUDIUM 22 , Panel: ST6

    Principal investigator: Adam Jacek Pardyl

    IDEAS NCBR Sp. z o.o.

  40. Data ownership and privacy meet generative neural networks

    Call: OPUS 25 , Panel: ST6

    Principal investigator: dr hab. Paweł Kacper Morawiecki

    Instytut Podstaw Informatyki PAN

  41. Meta-learning in Deep Neural Networks

    Call: OPUS 25 , Panel: ST6

    Principal investigator: prof. Jacek Tabor

    Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

  42. Building a scalable WILDlife monitoring system by integrating remote camera sampling and artificial INTELligence with Es...

    Call: BiodivMon , Panel: NZ8

    Principal investigator: dr hab. Nuria Selva Fernandez

    Instytut Ochrony Przyrody PAN

  43. Interpretable and sustainable artificial intelligence with intuitive explanations

    Call: OPUS 24 , Panel: ST6

    Principal investigator: dr hab. Bartosz Michał Zieliński

    Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

  44. Deciphering RNA self-replication with quantum chemistry and machine learning.

    Call: SONATA BIS 12 , Panel: ST4

    Principal investigator: dr Rafał Szabla

    Politechnika Wrocławska

  45. Conditional computation in deep neural networks

    Call: PRELUDIUM 21 , Panel: ST6

    Principal investigator: Sebastian Dariusz Jaszczur

    Uniwersytet Warszawski, Wydział Matematyki, Informatyki i Mechaniki

  46. Improving interpretability properties of prototypical parts-based deep neural networks.

    Call: PRELUDIUM 21 , Panel: ST6

    Principal investigator: Dawid Damian Rymarczyk

    Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

  47. Application of Artificial Neural Networks for predicting distribution of key copepods in the warming and darkening Arcti...

    Call: PRELUDIUM 21 , Panel: NZ8

    Principal investigator: dr Marlena Szeligowska

    Instytut Oceanologii PAN

  48. Balancing priors and learning biases to improve Bayesian Neural Networks

    Call: POLONEZ BIS 2 , Panel: ST6

    Principal investigator: dr Tomasz Kuśmierczyk

    Uniwersytet Jagielloński, Wydział Matematyki i Informatyki

  49. Dynamic Neural Networks for Efficient Machine Learning

    Call: OPUS 23 , Panel: ST6

    Principal investigator: dr hab. Tomasz Trzciński

    Politechnika Warszawska, Wydział Elektroniki i Technik Informacyjnych

  50. Video generation using deep learning

    Call: SONATA 17 , Panel: ST6

    Principal investigator: dr Piotr Tadeusz Biliński

    Uniwersytet Warszawski, Wydział Matematyki, Informatyki i Mechaniki

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