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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.
Inspiring conversation with Dame Stephanie Shirley on her journey from refugee to successful IT entrepreneur, advocating for women in STEM and supporting autism research.
Exploring challenges and frameworks for developing safe, reliable AI systems. Introduces spec-consistent machine learning to formalize desired AI behavior for real-world applications.
Explore algorithmic fairness and the concept of individual probabilities, examining their implications for AI ethics and decision-making processes in machine learning applications.
Exploring the challenges and opportunities of applying machine learning in healthcare, emphasizing the need for active human-machine collaboration to enhance patient care and decision-making.
Exploring interpretable machine learning in healthcare, proposing a framework for developing models based on user needs, and discussing potential applications for understanding and empowering human decision-making.
Explore methods for interpreting deep neural networks, including ACD and AWD, to enhance trustworthiness in AI. Learn about feature importance, scientific interpretability, and quality control in data science.
Exploring the crucial role of location data in urban decision-making, from resource management to emergency response, highlighting its potential to address global urban challenges.
Innovative statistical and modelling methods for COVID-19 risk assessment and intervention impact in zero-transmission settings, supporting policy decisions in Australia and Western Pacific.
Experts discuss COVID-19 modeling in France, challenges in decision support, and findings as societies reopen, offering insights into statistical approaches for pandemic response.
Explore industry approaches to data integration for new applications, examining the interplay between computer science, control theory, and adaptive control in both online and offline contexts.
Exploring the transition from healthcare research to real-world applications, focusing on data-driven approaches for better outcomes and preventive care. Experts discuss industry-academia collaboration and cross-sector developments.
Explore synthetic data generation and assessment for AI applications with Mihaela van der Schaar. Learn about cutting-edge techniques to create and evaluate artificial datasets for machine learning and data science research.
Explore computational principles behind learning sensorimotor repertoires, focusing on contextual inference in memory creation, updating, and expression for diverse motor skills.
Explore implications of relativistic vs. absolutist views on trustworthiness for national identity systems. Examine how NIS can align with absolutist trustworthiness despite theoretical challenges.
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