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Conference Sessions [clear filter]
Wednesday, June 28


ET1: A Market Forecast for Sensors in Augmented Reality, Virtual Reality and Artificial Intelligence Technologies

Alexis Macklin will discuss different devices as well as different Human-machine interaction (HMI) sensor technologies, including touch sensor, voice command, gesture control, eye-tracking, motion sensor, short range wireless and other sensors.  She will also share a projection of the market forecast until 2021.


avatar for Alexis Macklin

Alexis Macklin

Analyst, Greenlight Insights

Wednesday June 28, 2017 10:00am - 10:50am
Meeting Room 212AB


ET2: Deep Learning Based Vision AI for Emotion Recognition from Facial Micro-Expressions

This session will reveal a novel use of Convolutional Neural Networks (CNNs) as a Deep Learning architecture towards the creation of a facial expression recognition vocabulary. Understand how this new approach allows the vision AI algorithm to accurately read micro-expressions in real-time, and generate a wealth of invaluable behavioral data that is easy to digest and parse into other processes or applications. Discover a number of current industry verticals that are benefiting today from integrating emotion recognition technology into their commercial applications to amplify context awareness; and subsequently, enhance users experiences through a better Ambient Intelligence.

avatar for Modar Alaoui

Modar Alaoui

Founder and CEO, Eyeris
Modar is a tech entrepreneur and expert in Artificially Intelligent vision technologies, Deep Learning and Ambient Intelligence. He is currently founder and CEO at Eyeris, the worldwide leading Deep Learning-based emotion recognition software. The company's flagship product EmoVu... Read More →

Wednesday June 28, 2017 11:00am - 11:50am
Meeting Room 212AB


ET3: A New Type of Neural Network for Anomaly Detection in Sensor Data

We are living in an area with an ever growing number of sensors, where streaming analytics and machine learning are critical.  But what does it take to automate stream processing?  How do we create machine learning models that can keep up with exploding numbers of data streams? This talk covers how to leverage HTM (Hierarchical Temporal Memory) - a new type of neural network - to create applications that learn in real time, automatically and without the need for data labeling.

avatar for Marion Le Borgne

Marion Le Borgne

Senior Software Engineer, Numenta

Wednesday June 28, 2017 1:30pm - 2:20pm
Meeting Room 212AB


ET4: Moving AI Into the Physical World with Industrial IoT Systems

AI has been changing the digital landscape for several years now, but new companies are focused on pushing these developments into the physical world.  The new volume of industrial IoT sensors and communications has enabled orders of magnitude more data to be collected -- all with the goal of building intelligence into systems that can predict anomalies, identify issues, and increase efficiency.  In this talk, Andrew Scheuermann, Prateek Joshi and Adam Kell will discuss which technologies are making this transition possible.

avatar for Prateek Joshi

Prateek Joshi

Founder, Pluto AI
Prateek is an Artificial Intelligence researcher, a published author of 7 books, and a TEDx speaker. He is the founder of Pluto AI, a venture-funded Silicon Valley startup building an analytics platform for smart water management. His tech blog (www.prateekjoshi.com) has received... Read More →
avatar for Adam Kell

Adam Kell

Partner, Comet Labs
Adam is a product guy. He is an investment partner at Comet Labs, a cross between a venture fund and experimental research lab that focuses on AI and robotics. Adam previously co-founded a consumer electronics company, which designs, manufactures, and sells mobile phone accessories... Read More →
avatar for Andrew Scheuermann

Andrew Scheuermann

CEO & Co-Founder, Arch Systems
Andrew is an industrious and impassioned entrepreneur with 10 years of experience in energy and power devices. He is now leading Arch Systems, which provides a modular device to cloud platform allowing new IoT applications to be built 5x faster and 10x cheaper than ever before. Andrew... Read More →

Wednesday June 28, 2017 2:30pm - 3:20pm
Meeting Room 212AB


ET5: Sensing and IoT Ecosystem: Opportunities at a National Research Laboratory
Pacific Northwest National Laboratory (PNNL), a federally funded research and development center, focuses on basic research that advances the frontiers of science and translates discoveries into tools and technologies in science, energy, the environment and national security. For more than four decades, our experts have teamed with government, industry and academia to tackle some of the toughest problems facing our nation.

The opportunity of sensing and the complete IOT Ecosystem at the PNNL is vast and profound. Sensors, Connectivity, Big Data, and Machine Learning can all contribute to create exceptional values in every domain at the lab, from molecular science to cities and infrastructure.

So, what are the opportunities? How and what role can the Sensor and IOT industry in a national laboratory? The author shall present pictures of both a current and future vision of such opportunities with various Use Cases after an introduction to PNNL and IOT ecosystem. At the end, Dr. Ahmed will also explore collaboration scope between industry and PNNL for groundbreaking innovation and how PNNL can work together for science and technology needs for federal clients.

avatar for Dr. Osman Ahmed

Dr. Osman Ahmed

Principal Technical Advisor, Pacific Northwest National Laboratory
Dr. Osman Ahmed, a visionary innovation and technology leader, recently joined Pacific Northwest National Laboratory as a Principal Technical Advisor. Currently, he is leading groundbreaking initiative to deploy, demonstrate, and commercialize exceptional value that IOT (Internet... Read More →

Wednesday June 28, 2017 3:30pm - 4:20pm
Meeting Room 212AB