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Explore cutting-edge machine learning applications in biomedical data interpretation, from cellular analysis to surgical skill assessment, with renowned engineer René Vidal.
Explore counterfactual prediction in transport modeling, enhancing decision-making capabilities through causal inference and machine learning for 'what if' scenarios and fairness considerations.
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.
Exploring data-centric engineering's potential to enhance safety and efficiency in various sectors through a £10 million research grant collaboration between Lloyd's Register Foundation and The Alan Turing Institute.
Explore DataLoch's comprehensive health data service, covering multiple conditions for cross-disciplinary research. Learn about data coverage, governance, and safe access processes.
Explore fundamental concepts of AI and machine learning with expert Nathan Simpson, covering key principles and applications in this comprehensive overview.
Explore ethical considerations and responsible practices in AI development with insights from David Leslie of the Alan Turing Institute.
Explore ophthalmology's AI transformation with expert Pearse Keane, discussing lessons learned and potential healthcare impacts in this insightful session from the Clinical AI Interest group.
Explore synthetic healthcare data generation, addressing privacy concerns, bias detection, and concept drift in evolving medical datasets for improved research and policy-making.
Explore structural causal modelling and inference using string diagrams, a powerful visual tool for understanding complex causal relationships in data analysis.
Explore the nuances of language in observational health studies, examining how causal and associational terms impact research interpretation and conclusions.
Explore face synthesis detection techniques for identity systems, focusing on synthetic data generation and its applications in enhancing security and privacy.
Explore digital skills for leveraging data science and AI in non-STEM fields. Experts discuss challenges, opportunities, and future directions for integrating these technologies across diverse disciplines.
Explore metrics and assessment tools for evaluating AI system trustworthiness, enhancing understanding of responsible AI development and deployment.
Explore computational transcendence in autonomous systems, examining its impact on decision-making in supply chains and traffic management for enhanced efficiency and responsibility.
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