Talks from NASA, Google and Badoo at TensorFlowLDN #17!

[Inga Veidmane]

Welcome to TensorFlow London Meetup! When? Tuesday, September 25, 2018 5:45 PM to 7:30 PM Where? Printworks Surrey Quays Rd, London SE16 7PJ, London (map) #TensorFlowLDN REGISTER NOW Welcome to a very special TensorFlow London event, hosted together with London Artificial Intelligence Meetup. Please note, this event will be held at Printworks, SE16 (as part of AI Tech World Conference). Agenda: 17:45 Doors open. Food networking and drinks 18:15 Opening Remarks. 18:20 Lighting Talk: Data Science with Docker by Laura Mitchell 18:25 Are we alone? How NASA Frontier Development Lab scientists use AI to find evidence of life by Frank Soboczenski 18:50 Practical Reinforcement Learning with OpenAI by Leonardo De Marchi 19:05 Tensorflow lite by Zack Akil, Developer Advocate at Google 19.30 Wrap-up _________________________________________________________ DETAILED AGENDA: Lightning talk: Data Science With Docker Speaker: Laura Mitchell, Senior Data Scientist at Badoo This talk aims to demystify Docker and it will provide an overview of what all the fuss is about. You can expect to hear: use cases and how to leverage Docker in your work, particularly for deep learning projects. Talk #1 Title: Are we alone? How NASA Frontier Development Lab scientists use AI to find evidence of life. Speaker: Frank Soboczenski, NASA Globe STEM scientist This talk will focus on explaining the detection of habitable planets by using the first machine learning atmospheric retrieval framework for terrestrial exoplanets. This project involves NASA, Google Cloud, NVIDIA, Intel, IBM, Kx, SETI Institute and many others. You can expect to hear about the NASA program, current research in the field, data structure/generation implementation with Google as partner and a brief outline on the implementation. Talk #2 Title: Practical Reinforcement Learning with OpenAI Speaker: Leonardo De Marchi, Lead Data Scientist in Badoo Reinforcement Learning recently progressed greatly in industry as one of the best techniques for sequential decision making and control policies. DeepMind used RL to greatly reduce energy consumption in Google's data centre. It has being used to do text summarisation, autonomous driving, dialog systems, media advertisement and in finance by JPMorgan Chase. We are at the very beginning of the adoption of these algorithms as systems are required to operate more and more autonomously. In this talk Leonardo will present some of OpenAI research, including OpenAi’s Gym and some algorithms like Proximal Policy Optimization (PPO), Talk #3 Speaker: Zack Akil, Developer Advocate at Google (full details to be announced soon!)  Watch talks from Tensorflow #16: Multimodal Sentiment Analysis with TensorFlow Building a Data Science Platform