| Sumario: | An executive briefing predicting the winners in AI (who will make money? who has the best AI optimized chipsets?), a deep dive tutorial into the Amazon SageMaker machine learning platform, and a keynote imagining the endless possibilities (and dark side) of building artificial people by the computer vision expert responsible for the totally synthesized Obama speech video. These three talks represent just a fraction of the presentations delivered by the world's brightest minds in AI and machine learning at the Artificial Intelligence Conference London 2018. This video compilation is a complete recording of the best keynote addresses, tutorials, and technical sessions delivered at this fascinating event. Highlights include: The AI Business Summit: executive briefings and technical sessions covering the most promising and important developments in AI for business, including Kristian Hammond's (Northwestern Computer Science) practical walk-through on how to bring AI into your company; Bessie Lee (Withinlink) and Ching Law (Tencent) on how AI is changing advertising in China; and Simon Greenman's (Best Practice AI) look at AI's moneymakers. TensorFlow at the AI Conference: sessions led by engineers from the Google Cloud Platform and TensorFlow teams covering topics such as image classification models in TensorFlow, distributed training, TF Lite, TensorFlow.js, AutoML, CMLE, TPUs, and Kubeflow. Hours of in-depth AI tutorials including the UC Berkeley RiseLab team on building reinforcement learning applications with Ray; the Microsoft Cloud AI Group on how to apply recurrent neural networks to time series forecasting; and former Think Big Analytics AI practice director Mo Patel on computer vision and PyTorch. Keynotes covering the challenges of AI from Supasorn Suwajanakorn (Independent), Ruchir Puri (IBM), Jonathan Ballon (Intel), Ashok Srivastava (Intuit), and others. Implementing AI sessions, including Graphcore's founder Nigel Toon look at Intelligence Processing Units (the super-smart chips of the future); Rasa's CTO Alan Nichol on building conversational AI bots using the Rasa stack; and IntelligentWire's Yishay Carmiel on how to build privacy and security into deep learning models. Models and Methods sessions, including Amy Heineike's (Primer) review of NLP algorithms; Alan Mosca (University of London) on how to harden and improve deep learning models with targeted ensembles; and Vitaly Kuznetsov (Google) and Zelda Mariet (MIT) on sequence-to-...
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