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

Schedule: Health care sessions

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.
11:05am11:45am Thursday, June 29, 2017
Verticals and applications
Location: Gramercy East/West Level: Beginner
Michael Nova (Pathway Genomics)
Average rating: *****
(5.00, 1 rating)
Precision medicine is largely a big data and systems problem, especially with many different types of "siloed" healthcare information, such as lab results, genetic tests, IoT and wearables data, and insurance information. Michael Nova explains why cognitive computing and artificial intelligence that can dynamically learn using any healthcare data will dramatically impact precision healthcare. Read more.
1:45pm2:25pm Thursday, June 29, 2017
Verticals and applications
Location: Gramercy East/West Level: Intermediate
Garrett Goh (Pacific Northwest National Lab)
Garrett Goh demonstrates how to use deep learning to construct computational chemistry models that compare favorably to existing state-of-the-art models developed by expert practitioners—with virtually no expert knowledge—proving the potential of AI assistance to accelerate the scientific discovery process from a typical span of years to a matter of months. Read more.
2:35pm3:15pm Thursday, June 29, 2017
Impact of AI on business and society
Location: Gramercy East/West
Kavya Kopparapu (GirlsComputingLeague)
Average rating: *****
(5.00, 3 ratings)
Artificial intelligence is revolutionizing medicine through computer-aided diagnostic systems. High school student Kavya Kopparapu presents the Eyeagnosis system, which utilizes artificial intelligence techniques and a smartphone camera to automatically screen for diabetic retinopathy, the leading cause of preventable blindness worldwide. Read more.