Put AI to work
June 26-27, 2017: Training
June 27-29, 2017: Tutorials & Conference
New York, NY

Schedule: IoT and its applications sessions

The explosive growth of connected devices has opened a floodgate of data that poses challenges for traditional methods of analysis and operations. AI technologies now present new ways to turn a deluge of data into actionable insights.

9:00am - 5:00pm Monday, June 26 & Tuesday, June 27
Location: Gibson
Josh Patterson (Skymind), Susan Eraly (Skymind), Tom Hanlon (Functional Media)
Recurrent neural networks have proven to be very effective at analyzing time series or sequential data, so how can you apply these benefits to your use case? Josh Patterson, Tom Hanlon, and Susan Eraly demonstrate how to use Deeplearning4j to build recurrent neural networks for time series data. Read more.
4:00pm4:40pm Wednesday, June 28, 2017
Implementing AI
Location: Sutton North Level: Beginner
Shaoshan Liu (PerceptIn)
Average rating: *****
(5.00, 1 rating)
It is imperative to make high-profile technologies like AI affordable in order for these technologies to proliferate and to benefit the general public. Shaoshan Liu discusses PerceptIn's road to affordable AI-capable products. Read more.
11:55am12:35pm Thursday, June 29, 2017
Implementing AI
Location: Beekman Level: Beginner
Michael B. Henry (Mythic)
Breakthroughs in deep learning and new analog-domain computation methods to deploy trained neural networks will deliver exciting new capabilities. Michael B. Henry explains why the combination of human-like levels of recognition and massive computation capabilities in a tiny package will enable products with true awareness and understanding of the user and environment. Read more.
1:45pm2:25pm Thursday, June 29, 2017
Implementing AI
Location: Beekman Level: Beginner
Xiaofan Xu (Intel), Cormac Brick (Intel)
Data is the “oxygen” of the AI revolution, but access to data on a large scale remains a luxury of an elite group of tech companies, effectively creating a “data wall” blocking smaller companies. Cormac Brick and Xiaofan Xu explore the problem of the data wall and offer a solution: synthetic datasets. Read more.
1:45pm2:25pm Thursday, June 29, 2017
Implementing AI
Location: Sutton Center/North Level: Intermediate
Mark Hammond (Microsoft)
Average rating: ****.
(4.00, 1 rating)
As interactive and autonomous systems make their way into nearly every aspect of our lives, it is crucial to gain more trust in intelligent systems. Mark Hammond explores the latest techniques and research in building explainable AI systems. Join in to learn approaches for building explainability into control and optimization tasks, including robotics, manufacturing, and logistics. Read more.