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Explore AI's role in sustainable logistics and supply chain management, covering CO2 reduction, efficiency, optimization, resilience, and security from academic and industry perspectives.
Explore AI applications in wastewater treatment plants to enhance operational efficiency, yield, and quality in the process industry.
Explore AI's role in enhancing sustainability, efficiency, and resilience in smart ports and logistics. Learn about reducing CO2 emissions and optimizing supply chain management.
Explore AI-assisted virtual laboratories for process automation and research in industry, focusing on improving efficiency and quality.
Explore automatic speaking assessment for under-resourced languages, focusing on Finnish and Finland Swedish. Learn about system components, evaluation methods, and personalized feedback for language learners.
Explore AI control challenges and mitigation strategies with Professor Yoshua Bengio's keynote on understanding and addressing potential loss of control in artificial intelligence.
Explore the impact of AI on human understanding and society through Professor Neil Lawrence's insightful keynote at the ELLIS Community Event in Helsinki.
Explore open challenges in European AI with Prof. Schölkopf, delving into cutting-edge research and future directions in the field.
Tutustu tekoälyn mahdollisuuksiin ja haasteisiin terveystietojen hyödyntämisessä. Syvenny asiantuntijoiden keskusteluun datan käytöstä, sääntelystä ja vaikutuksista tutkimukseen sekä terveydenhuoltoon.
Explore Bayesian inference for causal discovery, examining recent progress, challenges, and assumptions in modeling cause-effect relationships from observational data.
Explore energy-efficient AI methods and solutions for sustainability, with insights from industry and academia experts.
Explore interactive visualization for comparing and selecting predictive models, integrating performance, instance, and feature-level analysis to support informed decision-making in machine learning.
Explore fast and accurate probabilistic time series classification using MINIROCKET technology, achieving near-state-of-the-art performance with significantly reduced computational costs compared to existing methods.
Explore robust and sample-efficient methods for simulation-based inference, addressing model misspecification and computational limitations in scientific and engineering applications.
Explore MAMMOTH, a framework for large-scale modular multilingual NLP models. Learn about cross-lingual transfer learning, runtime efficiency, and optimizing scalability in multinode training on HPC clusters.
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