October 16-17, 2019

Courtyard Boston Downtown
Boston

Agenda

Two days of groundbreaking keynotes, breakouts and panel discussions.

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October 16

October 17

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09:00

The Age of Industrial AI is Here

Joel Markham, Chief Engineer, GE
Colin Parris, Vice President, Software & Analytics Research, GE

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09:30

Presentation details coming soon

Ariya Rastrow, Principal Research Scientist - Amazon Echo (Alexa), Amazon

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10:00

Glow: Machine Learning Compiler for Hardware Accelerators

Nadav Rotem, Engineering Manager, AI Compiler Team, Facebook
Nick Gibson, Software Engineer, Glow team, Facebook

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10:30

Coffee Break

11:00

ML on the edge: Hardware and Models for Machine Learning on Constrained Platforms

Matthew Mattina, Head of Machine Learning Research Lab, ARM

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11:30

Neural Network Force Field for Molecular Dynamics of Multi-Element Atomistic System

Jonathan Mailoa, Senior Research Engineer, Computational, Bosch

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12:00

Set-Based Methods for Guaranteed Safe Autonomous Driving

Claus Danielson, Principal Research Scientist, MERL (Mitsubishi Electric Research Laboratories)

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12:30

Presentation details coming soon

Freddy Lecue, Chief AI Scientist, Thales

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13:00

Lunch

14:00

AI and Quantum

Anamita Guha, Global Product lead, IBM Q

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14:30

The Rise of Robot Overlords & How to Prepare for Them

Dr. Robert Whetsel, Data Scientist & Technical Executive, US Dept. Defense

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15:00

How to build an applied research group in the financial services industry

Yevgeniy Vahlis, Head of Artificial Intelligence Technology, BMO Financial Group

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15:30

Natural language processing for music information technology

Shuo Zhang, Senior Machine Learning Engineer, Bose Corporation

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16:00

Coffee Break

16:30

Panel Session: Google Edge TPU

Ajay Nair, Product Management Lead, Edge TPU, Google
Wes Wahlin, Google Cloud TPU Product Manager, Google
Ravi Narayanaswami, Edge TPU Tech Lead and Lead Architect, Google

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17:30

Applications of Deep Learning in Healthcare

Jonathan Rubin, Senior Scientist, Philips Research

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18:00

Networking Drinks

October 17

09:00

A Computer Vision Pipe Line: Both On-Premise and On-edge

Hamed Nazari, Principal Scientist, AI & Computer Vision, Comcast

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09:30

Deep Learning for Self Driving

Inmar Givoni, Senior Autonomy Engineering Manager, Uber

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10:00

Autonomous Maps at Level 5

Vladimir Iglovikov, Senior Computer Vision Engineer, Lyft

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10:30

Coffee Break

11:00

Combining event-based computing methods with deep learning methods: Avenues for performance improvements of hardware accelerators

Saber Moradi, Senior Hardware Engineer , Continental

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11:30

On-Demand Low-Latency Near Real-Time Predictions at Scale

Gabor Melli, Senior Director of Engineering (ML&AI), Sony PlayStation

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12:00

How Google Uses AI and Machine Learning in the Enterprise

Richard Dutton , Head of Machine Learning for Corporate Engineering, Google

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12:30

Ambient Computing pipelines at the Edge

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13:00

Lunch

14:00

Presentation details coming soon

Andreas Moshovos, Professor of of Electrical and Computer Engineering, University of Toronto

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14:30

Enabling next stage risk management capabilities through ML and AI

Imir Arifi, Head of Artificial Intelligence & Machine Learning, Blue Cross & Blue Shield

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15:00

Coffee Break

15:30

How artificial intelligence applied in telecom to predict customer usage churn - who, when and why.

Jothi Periasamy, Head of Artificial Intelligence, Harvard Innovation Lab

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