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
Brent J. Brunell, Senior Executive – Additive Technology Leader, GE
Colin Parris, Vice President, Software & Analytics Research, GE
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09:30

Machine Learning landscape is shifting
Ajay Nair, Product Management Lead, Edge TPU, Google
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10:00

Glow: Machine Learning Compiler for Hardware Accelerators
Nick Gibson, Software Engineer, Glow team, Facebook
Kristoffer Oniel Duncan, Technical Program Manager at Facebook, 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
Ariya Rastrow, Principal Research Scientist - Amazon Echo (Alexa), Amazon
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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

Natural language processing for music information technology
Shuo Zhang, Senior Machine Learning Engineer, Bose Corporation
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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

Coffee Break

16:00

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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17:00

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

Event-based Neuromorphic Computing
Saber Moradi, Senior Research Engineer , Continental
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11:30

Implementing Security for AI Systems
Ben Levine, Senior Director Product Management, Rambus
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12:00

Embedding Your AI and ML Teams in Your Business: A Google approach
Richard Dutton , Head of Machine Learning for Corporate Engineering, Google
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12:30

Ambient Computing pipelines at the Edge
Daniel Barkus, Graph Technologies Sr. Engineer, ATC, Optum
Stephen Graham, Senior Distinguished Engineer, Optum
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13:00

Lunch

14:00

Value-Based Deep Learning Hardware Acceleration
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

Thales Embedded Explainable AI: Towards the Adoption of AI in Critical Systems:
Freddy Lecue, Chief AI Scientist, Thales
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16:00

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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