DeepLearn

📝Early Registration for DeepLearn 2025 Opens September 29, 2024! Join us at the 12th International School on Deep Learning in Porto, Portugal, from July 21-25, 2025 at the Universidade da Maia - UMAIA. This year, DeepLearn will have a special focus on Large Language Models, Foundation Models, and Generative AI. DeepLearn 2024 was a success, don’t miss the chance to connect with top experts, learn cutting-edge techniques, and participate in hands-on experiences like our hackathon! 🌐 For more info, visit: https://lnkd.in/d4hzwUJk

🚀 From zero to third place in my first hackathon participation 🎉 I’m thrilled to share that I participated in the DeepLearn 2024 Machine Learning Hackathon, and it’s been an incredible experience. Competing alongside other talented participants from around the world, we applied machine learning techniques to solve real-world challenges across science and humanities. A big thanks to the DeepLearn 2024 School for organizing this hybrid event in Porto, Portugal and providing such a fantastic platform to grow and innovate in the field of machine learning. This is just the beginning of my journey in ML, and I’m excited for what’s to come! #DeepLearn2024 #MachineLearning #Hackathon #Innovation #AI #FirstHackathon #ProudMoment #LearningAndGrowing

Karolina Svitojute, Matt Kerin and me achieved 2nd Place in the RenAIssance #OCR Challenge in the context of 2024 Deep Learn Summer School in Porto - Maia 🥳 I really enjoyed the collaboration and learned a lot about the application of #transformer models to real world problems! Thanks to Sergei V. Gleyzer, Carlos Martín-Vide and the rest of the DeepLearn team for organizing this fun and interesting event! #Hackathon #MachineLearning #AI #DeepLearn2024

A few weeks have passed since I had the pleasure of participating in DeepLearn 2024, the 11th International School on Deep Learning, at Universidade da Maia - UMAIA and I'm still 🤔 on the valuable insights gained. Some of the key topics and lectures that stood out to me include: 💡 Wojciech Samek - From Feature Attributions to Next-Generation Explainable AI 💡 Daniel Cremers - Deep Networks for 3D Computer Vision 💡 Gustau Camps-Valls - AI for Earth, Climate, and Sustainability 💡katia Sycara - Effective Adaptation in Multi-Agent Teams 💡Peng Cui - Stable Learning for Out-of-Distribution Generalization: Invariance, Causality, and Heterogeneity 💡Frank Hutter - AutoML 💡Michalis Vazirgiannis - Graph Machine Learning and Multimodal Graph Generative AI A heartfelt thank you to all the lecturers for sharing their expertise and making this experience truly enriching. I also want to extend my sincere appreciation to the organizers, Universidade da Maia - UMAIA and IRDTA, for such a well-executed event and to the participants for contributing to such a welcoming and engaging environment. Special thanks to Continental and Haseeb Ghaffar for granting me the opportunity to attend this remarkable event. #DeepLearning #AI #Continental

Xinghua (Mindy) Shi from Temple University about DeepLearn 2024 at the Universidade da Maia - UMAIA in Portugal. Find out more ⬇ At the forefront of biomedical research, the recent deluge of biomedical data has fundamentally reshaped the landscape into a data science frontier. This transformation presents a unique opportunity to utilize artificial intelligence and machine learning to advance our understanding of biology and medicine. In these lectures, led by Xinghua (Mindy) Shi from Temple University, we delve into cutting-edge research on human genetic variation and its associations with health and disease. Additionally, we explore recent developments in trustworthy machine learning, focusing on the robustness, interpretability, fairness, security, and privacy of models and data. For more information visit: https://lnkd.in/dteEe4i5

I recently had the incredible opportunity to attend the DeepLearn 2024 Summer School in Porto, Portugal at Universidade da Maia - UMAIA. 🌟 This event was a hub for specialists, researchers, and professionals to exchange insights, innovative ideas, and the latest advancements in deep learning. 🧠🤖 We were privileged to hear from top experts in the field: Daniel Cremers on Deep Networks for 3D Computer Vision Elisa Ricci discussing Continual and Adaptive Learning in Computer Vision Yulan He on Machine Reading Comprehension with Large Language Models Wojciech Samek on Explainable AI I'm grateful for the knowledge gained and the inspiring connections made. Kudos to the organizers for uniting experts and students worldwide to explore deep learning frontiers. #DeepLearn2024 #DeepLearning #AI #SummerSchool #LLMs #ComputerVision #ContinualLearning #TechInnovation #Research #MachineLearning

Meet Yulan He from King's College London after a class on "Machine Reading Comprehension with Large Language Models", sharing her experience lecturing at DeepLearn 2024. For more information visit: https://lnkd.in/d7Bd9BAh

Professor Wojciech Samek, from Fraunhofer Heinrich Hertz Institute HHI / Technical University of Berlin after a class with the theme "From Feature Attributions to Next-Generation Explainable AI", with some very positive feedback on DeepLearn 2024. For more information visit: https://lnkd.in/dE7a_Vsn

The DeepLearn 2024 Summer School in Porto, Portugal, provided an incredibly enriching experience! 🎯 - Universidade da Maia - UMAIA 🎓 Last week, I had the opportunity to attend a collaborative event where specialists, researchers, and professionals gathered to share their insights, innovative concepts, and advances. The event covered a broad spectrum of contemporary AI topics, such as semi-supervised learning, large language models (LLMs), graphs machine learning and multimodal model, and their applications in various fields, including earth sciences, computer vision, language processing, health informatics, autonomous vehicles and genomics. I am very pleased with the knowledge I gained and the exceptional researchers I met. 🎤 Some exceptional researchers spoke at this event and their presentations were very interesting and insightful: -Daniel Cremers - Deep Networks for 3D Computer Vision -Elisa Ricci -  Continual and Adaptive Learning in Computer Vision -Gustau Camps-Valls - AI for Earth, Climate, and Sustainability -Yulan He - Machine Reading Comprehension with Large Language Models -Xinghua (Mindy) Shi - Trustworthy Machine Learning for Human Health and Medicine -Michalis Vazirgiannis - Graph Machine Learning and Multimodal Graph Generative AI -Jiawei Han - How Can Large Language Models Contribute to Effective Text Mining? (Keynote Speech) I want to thank all the organizers, speakers, and participants for this amazing experience. #Deeplearn2024 #ArtificialIntelligence #DeepLearning #EarthScience #ComputerVision #SummerSchool

🔔 A Universidade da Maia acolheu a Escola de Verão de formação avançada em Inteligência Artificial, DeepLearn 2024 Em coorganização com o LIACC – Laboratório de Inteligência Artificial e Ciência de Computadores da FEUP, decorreu de 15 a 19 de julho de 2024 a DeepLearn 2024. Com mais de 370 participantes de 39 nacionalidades diferentes, o DeepLearn 2024 exemplifica a natureza global da investigação e desenvolvimento em IA. Portugal liderou com 57 participantes, seguido pela Itália com 52, a Dinamarca com 41, a França com 35 e os Países Baixos com 19. O país mais distante representado este ano foi o Japão, mostrando o apelo internacional e o alcance do programa, que incluiu 18 especialistas de ponta no campo da IA que compartilharam os seus conhecimentos e insights através das sessões e workshops envolventes. Cada especialista lecionou um workshop, dividido em três sessões de 1 hora e 30 minutos cada, cobrindo temas como LLMs, text mining, machine reading, deep learning para linguagem e discurso, edge machine learning, AutoML, graph machine learning, sustentabilidade e IA, IA explicável (xAI), deep networks para visão computacional 3D e aplicações na saúde e medicina, proporcionando aos participantes acesso incomparável a investigação de ponta e insights práticos.  O DeepLearn 2024 foi um evento marcante, proporcionando aos participantes acesso a investigação de ponta e insights práticos. 🤝   ➡️ Sabe mais em https://lnkd.in/dCD2weBQ Todas as fotografias já disponíveis em https://bit.ly/46j9DAL.   #umaia #DeepLearn2024 #Participants #AI #MachineLearning #DeepLearning #GlobalCommunity #UniversityOfMaia