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Explore Equadratures, an open-source platform for model development. Learn about polynomials, variable projection, and applications in this interactive workshop from the Alan Turing Institute.
Explore collaborative research practices, career pathways, and tools in data science through The Turing Way project. Learn about open science, reproducibility, and community-driven knowledge sharing.
Explore real-time graph analytics with Raphtory, covering social networks, time-based graphs, and advanced features like historical properties and query languages.
Explore interpretable machine learning for high-stakes decisions. Learn about optimal scoring systems, their applications in healthcare and criminal justice, and the importance of transparency in AI models.
Explore model-based deep learning for imaging and communications, merging parametric models with optimization tools for efficient, interpretable networks applicable to various real-world problems.
Emmanuel Candes discusses novel calibration techniques for machine learning predictions, addressing issues like false discovery rate control and adaptive conformal inference to handle distribution shifts.
Stuart Russell explores the potential and risks of AI surpassing human capabilities, proposing a fundamental shift in AI development to ensure beneficial outcomes and addressing key ethical and philosophical questions.
Explore AI's impact on healthcare, focusing on patient safety, data privacy, and interpretability. Learn about new machine learning methods supporting caregivers and enhancing clinical decision-making.
Explores deep learning in scientific computing, highlighting limitations and recent theoretical advancements in high-dimensional function approximation and inverse problems for imaging, aiming to bridge the gap between theory and practice.
Explore techniques for ensuring safety and robustness in deep learning systems, focusing on automated certification methods, Bayesian learning, and causality in critical applications.
Explore novel anomaly detection methods for digital identity systems using autoencoders, with a focus on fraud prevention during registration in MOSIP architecture.
Exploring the shift towards model-based data in social sciences, its impact on urban planning, and implications for policy-making and research methodologies in the era of AI and big data.
Explore ethical considerations of location data use through expert panel discussions on public awareness, data security, governance, and consent in this insightful webinar.
Exploring the creation of time-sensitive sensors using user-generated language and diverse content to advance natural language processing and its real-world applications.
Explore probabilistic methods to enhance machine learning robustness, focusing on latent variables, molecular design, and optimization techniques for improved AI performance and reliability.
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