Past Meetup

London Meetup: Deep Dive into TensorFlow #17

This Meetup is past

Printworks London

Surrey Quays Road · London SE16 7PJ

How to find us

Please register here - > https://www.eventbrite.com/e/london-meetup-deep-dive-into-tensorflow-17-tickets-49946947665?aff=Meetup

Location image of event venue

Details

REGISTRATION: https://www.eventbrite.com/e/london-meetup-deep-dive-into-tensorflow-17-tickets-49946947665?aff=Meetup

Welcome to a very special TensorFlow London event, hosted together with London Artificial Intelligence Meetup. This event will be held at Printworks, SE16 (as part of AI Tech World Conference).

PLEASE NOTE: You will be required to have a Conference Pass to enter the Printworks venue and make sure you claim your FREE EXPO PASS (you can find full details at the registration page/ link above).

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 Ultra portable Deep Learning with Tensorflow.js by Zack Akil
19.30 Wrap-up
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DETAILED AGENDA:

Lightning talk: Data Science With Docker

Speaker: Laura Mitchell, Senior Data Scientist at Badoo

Abstract: 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

Abstract: How can artificial intelligence help answer one of the most challenging and intriguing questions of our existence: Are we alone? 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 others. You can expect to hear about the NASA program, current research in the field, data structure/generation implementation with Google as a partner and a brief outline on the implementation.

Bio: Frank is a computer scientist at King's College London as well as a NASA Globe STEM scientist and former NASA Space Apps Lead. His research is supported by NVIDIA and focuses on Deep-Learning and Natural-Language Processing. Frank has previously worked in areas such as Human-Computer Interaction, Real-Time Systems and Cyber-Security in cooperation with INRIA, Airbus, GCHQ as well as other law enforcement entities.

Talk #2

Title: Practical Reinforcement Learning with OpenAI

Speaker: Leonardo De Marchi, Lead Data Scientist in Badoo

Abstract: Reinforcement Learning recently progressed as one of the best techniques for sequential decision making and control policies in the industry. DeepMind used RL to greatly reduce energy consumption in Google's data center. It is used to do text summarisation, autonomous driving, dialog systems, media advertisement and in finance by JPMorgan Chase. In this talk, Leonardo will present some of OpenAI research, including OpenAi’s Gym and some algorithms like Proximal Policy Optimization (PPO).

Bio: Leonardo De Marchi holds a Master in Artificial intelligence and has worked as a Data Scientist in the sports world, with clients such as New York Knicks and Manchester United, and with large social networks, like Justgiving. He now works as Lead Data Scientist in Badoo

Talk #3

Title: Ultra portable Deep Learning with Tensorflow.js

Speaker: Zack Akil, Developer Advocate at Google

Abstract: Traditional machine learning systems usually require some installation process when you want to run them on your own device, not anymore! Zack will be giving give an overview of TensorFlow.js, which allows you to be training and running ML models on your device by simply visiting a webpage.

Bio: Zack is Developer advocate at Google and Central London Data Science Project Nights meetup organizer.

Attendees (1)