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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 probabilistic Richardson extrapolation using Gaussian processes for accelerated convergence in numerical methods, with applications in cardiac modeling and statistical experimental design.
Explore robust and conjugate Gaussian process regression methods that maintain closed-form conditioning while overcoming limitations of standard GP assumptions about observation noise.
Discover how AI-driven experimental design revolutionizes R&D across industries, from materials development to process optimization, with practical insights from industry experts and Bayesian optimization techniques.
Explore cutting-edge neural abstractive summarization techniques, from handling long documents to Bayesian active learning and context-controlled output, with applications in healthcare and finance.
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.
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