Ethics and Responsible AI
Explore ethical considerations and responsible practices in AI development with insights from David Leslie of the Alan Turing Institute.
Synthetic Data for Identity Systems - Face Synthesis Detection
Explore face synthesis detection techniques for identity systems, focusing on synthetic data generation and its applications in enhancing security and privacy.
Trustworthiness Framework - Metrics and Assessment Tools
Explore metrics and assessment tools for evaluating AI system trustworthiness, enhancing understanding of responsible AI development and deployment.
Computational Transcendence for Emergent Responsible Autonomy
Explore computational transcendence in autonomous systems, examining its impact on decision-making in supply chains and traffic management for enhanced efficiency and responsibility.
The Potential for AI in Medicines Optimization and Prescribing Improvement
Explore AI's potential in improving medication prescribing and optimisation, focusing on reducing errors and enhancing patient care in long-term conditions management.
Public Attitudes Towards AI in the UK - Survey Findings and Discussion
Explore key findings from a UK survey on public awareness, experiences, and attitudes towards AI uses, including views on regulation and governance.
Nature Reviews Physics - Science in the Age of Large Language Models
Explore the impact of Large Language Models on scientific research and publishing, discussing challenges, opportunities, and future implications for the field.
How to Regulate Foundation Models: Beyond the EU AI Act
Exploring governance of large AI models, examining unique features, legal issues, and the EU AI Act's risk-based approach. Expert panel discusses ethical and regulatory challenges.
Convergence of Denoising Diffusion Models Under the Manifold Hypothesis
Explores theoretical analysis of denoising diffusion models, providing convergence results for data distributions on lower-dimensional manifolds or empirical distributions, with quantitative bounds on Wasserstein distance.
From Denoising Diffusion Models to Transport for Generative Modeling and Inference
Explore advanced generative modeling techniques, from denoising diffusion models to transport-based approaches, focusing on diffusion Schrödinger bridge and its numerical approximation for improved inference.
Exploring Foundation Models - Session 3
Dive into the world of foundation models with experts Anthony Cohn and Yarin Gal, exploring cutting-edge developments and implications in artificial intelligence.
Exploring Foundation Models - Session 1
Dive into foundation models with experts discussing their impact, challenges, and future potential in AI research and applications.
Trustworthiness Framework - Metrics and Assessment Tools - Session 4
Explore metrics and assessment tools for evaluating AI trustworthiness with experts from The Alan Turing Institute, enhancing your understanding of ethical AI development.
Fairness in Commercial Face Recognition Algorithms - Session 3
Explore fairness issues in commercial facial recognition systems, examining biases and ethical implications for diverse populations.
The Turing Lectures: Where Next for Self-Driving Vehicles
Exploring the future of autonomous vehicles: challenges, opportunities, and policy implications. Insights on integrating research into legislation and ensuring societal benefits of self-driving technology.
Machine Learning Research in Industry - Exploring Industry-Academia Collaborations
Explore industry-academia collaborations in AI, accessing and benefiting from industry-developed tools, and shaping future developments through feedback.
International Collaboration in AI and Data Governance - Session 3
Explore international AI collaboration and data governance with insights from the Global Partnership on AI event, featuring keynote speaker Chris Philp MP on fostering cooperation in AI development.
LF AI Mini-Summit - Artificial Intelligence Innovations and Trends
Explore cutting-edge AI developments and industry trends in this Linux Foundation event featuring expert insights and discussions on artificial intelligence advancements.
Reliably Shipping Containers in a Resource-Rich World Using Titan
Explore Netflix's Titan system, combining Docker and Apache Mesos for efficient cluster management and application deployment across multiple geographies on AWS.
Learning Algorithms and Techniques - Session 1C
Explore cutting-edge research in machine learning and computational theory at FOCS 2020's Session 1C, featuring presentations on innovative algorithms and theoretical advancements.
Understanding Deep Learning - Challenges for Statistical Learning Theory
Explore statistical learning theory challenges in deep learning, focusing on key concepts and recent developments in this complex field.