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Explore groundbreaking AI applications in energy management, battery development, and materials manufacturing through expert talks and Q&A from the Alan Turing Institute's AI UK 22 showcase.
Discover export control risks in open-source AI and learn to navigate compliance requirements while fostering innovation in AI development.
Explore counterfactual prediction in transport modeling, enhancing decision-making capabilities through causal inference and machine learning for 'what if' scenarios and fairness considerations.
Exploring challenges in simulation models for data science, focusing on parameter estimation and initialization. Discusses fusion with machine learning and potential impact on policy analysis and forecasting.
Explore innovative AI approaches for urban traffic planning and control, featuring insights from experts on optimizing mobility systems and addressing future challenges.
Explore data-centric engineering in aero-engines, covering blade design, uncertainty estimation, and computational fluid dynamics for improved performance and reduced costs in aerospace.
Explore security and encoding in Fully Homomorphic Encryption, covering Ring-LWE parameters, NIST post-quantum standardization, and efficient encoding techniques for higher-depth circuit evaluation.
Explore structural thinking in social network analysis, covering key concepts like preferential attachment, small worlds, and homophily, with applications to modern digital networks and classic theories.
Explore cutting-edge machine learning applications in biomedical data interpretation, from cellular analysis to surgical skill assessment, with renowned engineer René Vidal.
Explore social network analysis techniques, data collection methods, and analytical approaches. Learn about key concepts like weak ties, homophily, and community detection to enhance your understanding of network structures.
Engaging Oxford-style debate on the necessity of explainable AI in healthcare, featuring expert speakers discussing its role in shaping the future of medical technology.
Explore innovative AI applications in agriculture for sustainable farming practices, emissions reduction, and the creation of zero-carbon farms to combat climate change.
Showcasing climate forecasting and mitigation research to future-proof cities, build sustainable systems, and pre-empt climate security challenges through AI and data science innovations.
Exploring emotions in language: representation, annotation, and applications in NLP, psychology, and social sciences. Discusses computational creativity and addressing biases for fairer AI systems.
Explore advanced Gaussian process techniques for computer model emulation, Bayesian inversion, and uncertainty quantification across diverse scientific applications.
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