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Deep Dive into AI, Thought Leaders

Professor Gareth Roberts: “New challenges in Computational Statistics”

February 19, 2024

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Deep Dive into AI, Thought Leaders

Professor Helen Margetts: “The Data Science of Politics”

February 19, 2024

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Deep Dive into AI, Thought Leaders

Professor Stéphane Mallat: “High-Dimensional Learning and Deep Neural Networks”

February 19, 2024

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Deep Dive into AI, Thought Leaders

Tim Harris: “Systems Challenges in Graph Analytics”

February 19, 2024

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Deep Dive into AI, Thought Leaders

Professor Mike West: Structured Dynamic Graphical Models & Scaling Multivariate Time Series

February 19, 2024

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Deep Dive into AI, Thought Leaders

Fellow Short Talks: Sir Alan Wilson (UCL, CEO The Alan Turing Institute)

February 19, 2024

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Deep Dive into AI, Thought Leaders

Professor Dame Julia Slingo: “Big Data, Met Office and 21st Century Problems”

February 19, 2024

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Deep Dive into AI, Thought Leaders

Professor Mark Girolami: “Probabilistic Numerical Computation: A New Concept?”

February 19, 2024

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Deep Dive into AI, Thought Leaders

Professor Peter O’Hearn: “Reasoning with Big Code”

February 19, 2024

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Deep Dive into AI, Thought Leaders

Introduction to machine learning: Professor Zoubin Ghahramani, Cambridge University

February 19, 2024

Category - Deep Dive into AI

Deep Dive into AI, Thought Leaders

Implicit regularization for general norms and errors – Lorenzo Rosasco, MIT

Deep Dive into AI, Thought Leaders

Intro: UK Multi-Agent Systems Symposium – Stefano Albrecht, University of Edinburgh & Turing

Deep Dive into AI, Thought Leaders

Approximate cross validation for large data and high dimensions – Tamara Broderick, MIT

Deep Dive into AI, Thought Leaders

Machine learning: from black boxes to white boxes – Mihaela van der Schaar

Deep Dive into AI, Thought Leaders

A function space view of overparameterized neural networks – Rebecca Willet, University of Chicago

Deep Dive into AI, Thought Leaders

Data-driven regularisation for solving inverse problems – Carola-Bibiane Schönlieb, Turing/Cambridge

Deep Dive into AI, Thought Leaders

Introduction to collective intelligence – Eva Grobbink, Nesta

Deep Dive into AI, Thought Leaders

The Turing Lectures present Anne-Marie Imafidon: AI and the future of work

Deep Dive into AI, Thought Leaders

Big data is low rank – Madeleine Udell, Cornell University

Deep Dive into AI, Thought Leaders

Improving democracy through Natural Language Processing – Miguel Arana Catania, Turing

Deep Dive into AI, Thought Leaders

Technology and public participation in constitution-making – Felix-Anselm van Lier, Max Planck

Deep Dive into AI, Thought Leaders

Proceeding with care – Considerations for future use of machine learning, Kathy Evans