Presented By O’Reilly and Intel AI
Put AI to work
8-9 Oct 2018: Training
9-11 Oct 2018: Tutorials & Conference
London, UK

Interacting with AI

 

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9:00–17:00 Tuesday, 9 October 2018
Location: Park Suite Level: Intermediate
Secondary topics:  Computer Vision, Deep Learning tools
Benoit Dherin (Google)
Benoit Dherin explains how machine learning is applied to image classification, discusses evolving methods and challenges, and walks you through creating increasingly sophisticated image classification models using TensorFlow. Read more.
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11:55–12:35 Wednesday, 10 October 2018
Location: King's Suite - Sandringham Level: Intermediate
Secondary topics:  Media, Marketing, Advertising, Reinforcement Learning
Danny Lange (Unity Technologies)
Danny Lange discusses the role of intelligence in biological evolution and learning and demonstrates why a game engine is the perfect virtual biodome for AI’s evolution. You'll discover how the scale and speed of simulations is changing the game of AI while learning about new developments in reinforcement learning. Read more.
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14:35–15:15 Wednesday, 10 October 2018
Location: King's Suite - Balmoral Level: Beginner
Secondary topics:  Ethics, Privacy, and Security, Interfaces and UX
Rachel Bellamy (IBM Research), Casey Dugan (IBM Research)
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Data bias is not only an AI problem; it's also a UI problem. Non-AI experts use custom application interfaces to help them make decisions based on predictions from machine learning models. These application interfaces need to be designed so that the decisions made are unbiased. Rachel Bellamy and Casey Dugan explain how to represent model predictions so that people can recognize if they are fair. Read more.
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16:00–16:40 Wednesday, 10 October 2018
Location: Westminster Suite Level: Intermediate
Secondary topics:  Computer Vision, Deep Learning tools
Anmol Jagetia (Media.net)
Machine learning and object recognition have matured to the point that exciting applications are now possible. Anmol Jagetia demonstrates how to create a Pokédex that uses a camera phone to recognize the Pokémon it's looking at in real time. You'll see how to gather data, prepare your dataset, tune models, and deploy it to a mobile device, using the same tech that is used in self-driving cars. Read more.
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13:45–14:25 Thursday, 11 October 2018
Location: Park Suite Level: Intermediate
Chris Boyd (The Wall Street Journal), John Wiley (The Wall Street Journal)
Chris Boyd and John Wiley explain how the Wall Street Journal uses machine learning and a proprietary algorithm to predict the likelihood for someone subscribing, which in turn dictates the paywall experience that customer receives. Read more.