Deep Learning Summit, Boston 2017

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8+

Hours of content

32

Speakers

6

Interviews

Overview

The 3rd Annual Deep Learning Summit in Boston took place on May 25-26 2017. Speakers included: Sangram Ganguly, Senior Research Scientist at NASA Ames Research Center; Dilip Krishnan, Research Scientist at Google; and David Murgatroyd, Machine Learning Leader at Spotify.

Topics explored included: Computer Vision, Reinforcement Learning, Robotics, Deep Learning in Industry, Autonomous Vehicles, and the Implications of Autonomous Systems.

Featured Presentations

Watch our featured videos below for free. Scroll down to view the full library of presentations from the event and to purchase access to all the recorded sessions.

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Agile Deep Learning

David Murgatroyd, Machine Learning Leader at Spotify

Deep Learning has been called the ‘new electricity’ — transforming every industry. Innovative architectures and applications receive deserved attention. But to turn innovation into value requires integrating deep learning into practical technology products. Such products, including Spotify's, are often developed following the principles of agile. This talk focuses on approaching...
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Deep Learning and Real-Time Flight Prediction

Sam Zimmerman, CTO at Freebird

Which of the over 30 million commercial flights in the US will get actually delayed or cancelled? Freebird has built a business based on using data science to answer that question. Learn how co-founder and CTO Sam Zimmerman and his team have approached this problem by building a real-time predictive...
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Interview with Sanja Fidler, University of Toronto

Sanja Fidler, University of Toronto; Monique Brouillette, Freelance

This interview took place at the Deep Learning Summit, Boston 2017. Monique interviewed Sanja to find out more about her and her thoughts on the following questions: - Tell us a bit more about your work at the Vector Institute. - What motivated you to start your work in deep...
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Full Presentation Library

Interview with Sam Zimmerman, Freebird

Sam Zimmerman, CTO at Freebird

Learning Models of Language, Action and Perception for Human-Robot Collaboration

Stefanie Tellex, Assistant Professor at Brown University

Scaling Deep Learning Models to High Resolution Satellite Image Classification on the NASA Earth Exchange Platform

Sangram Ganguly, Senior Research Scientist at NASA Ames Research Center/ BAER Institute

Drones Need to Learn

Helen Greiner, Founder at ChPhy Works

PANEL: Addressing the Implications of Autonomous Systems

Sampriti Bhattacharyya, Hydroswarm; David Michael, Cognex; Scott Dennenberg, Veo Robotics; Alex Lorman, ThayerMahan

Deep Learning in Amazon Alexa

Spyros Matsoukas, Principal Scientist at Amazon

Deep Learning for Self-Driving Cars

Lex Fridman, Postdoctoral Researcher at MIT

PANEL: Investing in Deep Learning: Where are we Headed?

David Beisel, NextView Ventures; Rudina Sereni, Glasswing Ventures; Vivjan Myrto, Hyperplane Venture Capital; Drew Valpe, Procyon Ventures

Making Deep Learning Work on Messy Sensor Data

Dan Shiebler, Data Scientist at True Motion

New Approaches to Unsupervised Domain Adaptation

Dilip Krishnan, Research Scientist at Google

Deep Reinforcement Learning: Recent Advances and Frontiers

Li Erran Li, Professor at Columbia University

SoundNet

Carl Vondrick, Resaerch Scientist at Google

Neural Network based Multimodal Dialog Technologies towards Human-Robot Communication

Chiori Hori, Researcher at Mitsubishi Electric Research Laboratories (MERL)

Deep Learning in Production at Facebook

Andrew Tulloch, Research Engineer at Facebook

How Twitter Leverages Its AI Platform

Nicolas Koumchatzky, Lead at Twitter Cortex

AI and the Bio Brain

Anatoly Gorchechnnikov, Co-Founder & CTO at Neurala

Interview with Sangram Ganguly, NASA Ames Research Center

Sangram Ganguly, NASA Ames Research Center/ BAER Institute; Monique Brouillette, Freelance

Interview with Spyros Matsoukas, Amazon

Spyros Matsoukas, Amazon; Monique Brouillette, Freelance

Deep Understanding: Steps towards Interpreting the Internals of Neural Networks

Maithra Raghu, PhD student at Cornell University/Google Brain

AI-Assisted Chemistry: Predicting Chemical Properties with Minimal Expert Knowledge

Garret Goh, Scientist at Pacific Northwest National Lab

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