Video Deep Dive into AI, Thought Leaders Nonlinear approximation by deep ReLU networks – Ron DeVore, Texas A&M
Video Deep Dive into AI, Thought Leaders DeepMind / Turing Lecture: Learning how to learn efficiently – Nando de Freitas, DeepMind
Video Deep Dive into AI, Thought Leaders Turing Data Study Group: an industry partner perspective – British Antarctic Survey
Video Deep Dive into AI, Thought Leaders Dockless Mobility Data – Teddy Cunningham, University of Warwick
Video Deep Dive into AI, Thought Leaders Crowdsourced data (Strava) supplementing traditional active mode data – Caitlin Cottrill
Video Deep Dive into AI, Thought Leaders Capturing variability in individuals travel behaviour using Bluetooth – Fiona Crawford
Video Deep Dive into AI, Thought Leaders Social media, human mobility and dynamics – Ronaldo Menezes, University of Exeter
Video Deep Dive into AI, Thought Leaders Sensors and IOT to fully instrument the transport system – Marcus Enoch, Loughborough University
Video Deep Dive into AI, Thought Leaders Deep and Multi-fidelity learning with Gaussian processes: Andreas Damianou, Amazon
Video Deep Dive into AI, Thought Leaders Deep Gaussian Processes for Bayesian Inversion: Matt Dunlop, Courant
Video Deep Dive into AI, Thought Leaders Using Mobile Phone Data for Developing Econometric Models of Travel Behaviour – Charisma Choudhury