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Fundamentals of Neuroscience, Part 1: The Electrical Properties of the Neuron
Organic Chemistry 1
Mountains 101
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Explore AI's potential in improving medication prescribing and optimisation, focusing on reducing errors and enhancing patient care in long-term conditions management.
Explore key findings from a UK survey on public awareness, experiences, and attitudes towards AI uses, including views on regulation and governance.
Explore digital ID litigation, dual-use technology, and data rights. Examine key findings, patterns, and disconnects in this critical area of technological development and policy.
Explore spatial causal inference, interference problems from social interactions, and neighborhood effects in multilevel analyses. Examine agent-based models to question area-level effects and their causal interpretations.
Advancing digital twins: Experts explore foundational aspects, research challenges, and key applications, bridging data-driven and mechanistic modeling for engineering and scientific domains.
Advancing digital twins through expert talks on stochastic integration, neural surrogates, PDE-constrained optimization, inverse optimal transport, and Markov Chain Monte Carlo methods.
Advancing digital twins research: Experts explore Bayesian inference, irregular posteriors, and geophysical applications in this foundational workshop for data-driven engineering.
Explore the impact of Large Language Models on scientific research and publishing, discussing challenges, opportunities, and future implications for the field.
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.
Explore emerging display and interaction technologies for data visualization, focusing on immersive analytics and embodied sensemaking techniques to enhance data understanding and analysis.
Discover "glue," a powerful analysis/visualization tool for exploring diverse datasets across fields. Learn its origins, capabilities, and applications in astronomy, genomics, and beyond.
Explore Vega's ecosystem of declarative visualization languages and interactive tools for creating rich, interactive visualizations with layered abstractions and flexible designs.
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.
Explore advanced Langevin Monte Carlo techniques, focusing on the Randomized Midpoint method's superior sampling error guarantees and recent improvements for high-dimensional target distributions.
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.
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