Evening Event: Data Science in the Senses

6:15 - 10:00 | Thursday, May 23

Day 1 of Rev will conclude with a unique “Data Science in the Senses” party, where attendees will be wined and dined in the Broadway Lounge & Terrace, overlooking the heart of Times Square, while experiencing the effects of data science on our everyday senses. Several stations, listed below, will feature cutting edge companies with cool use cases for data science, machine learning, and/or AI that can be showcased via a sensory experience.

Featuring:

Kineviz develops visual analytics software and solutions. Their GraphXR platform offers unprecedented speed, power, and ease of use for deriving insight from sources such as geospatial, time series, rich documents, financial transactions, and social media data. Check out the visualizations they’ll be building based on Game of Thrones data during Data Science in the Senses.



Ben Snell is an AI artist based in New York. His practice investigates materialities and ecologies of computation. Using contemporary techniques in dialogue with traditional motifs, he situates technology as a mirror to reveal the self as a computational being. With emphasis on inquiry and introspection, his work takes the form of drawings, photography and sculpture. He holds a B.A. in Experiential Art and Design from Carnegie Mellon University and was recently an Artist in Residence at Pier 9 Autodesk.



Botnik leverages natural language processing and AI to write songs. They have an album in progress; all songs are written using text mashups. For instance, Botnik has generated a new country song by training a model on more than 70,000 existing songs, and they’ve created another song based on a mashup of negative Yelp! reviews and Bob Dylan music. Botnik will be performing a live set at Data Science in the Senses, with some slides and graphics to show how the process works.



Folk RNN lets you generate music using recurrent neural networks, or RNN. RNN is trained on transcriptions of folk music. On the Folk RNN website, each press of the ‘compose’ button will create a new tune, shaped by your initial input. At Data Science in the Senses, Folk RNN will showcase their music while allowing attendees to generate their own music as well.



SoundPrint is a database company that measures, collects and analyzes the sound levels of one’s environment (i.e. restaurant, bar, office, arena). Our first application is a crowdsourcing app that enables users to measure and submit the noise level of venues to determine whether a venue is suitable for conversation and safe for hearing health - great for finding that quieter spot for a date or business meeting.



Analytical Flavor Systems, Inc. has built a machine learning and artificial intelligence platform for modeling human sensory perception and predicting consumer preferences of food and beverage products. Gastrograph AI helps producers to model, understand, and optimize the flavor, aroma, and texture of their product for target consumer demographics and cohorts. Gastrograph AI enables robust quantification of the underlying flavor profile of products and their raw ingredient components for predictive new product development, brand optimization, and cognitive marketing. During Data Science In the Senses, attendees will get to try three products that are targeted at a niche or specific demographic. We will compare their preferences and ratings to those of our panel, and demonstrate our predictive analytics ability using machine learning and artificial intelligence platform.



Josh Urban Davis is a human computer interaction researcher and graduate student at Dartmouth University who creates art and animations using Generative Adversarial Neural Networks trained on a variety of images including colorized photographs of the universe. At Data Science in the Senses, Josh will showcase a composite of his GAN generated animations.

Sony Green
Co-founder & Director, Business Development, Kineviz

At Kineviz, our mission is to help our clients see clearer, decide faster, and engage better through interactive data visualization. We’ve built custom visualizations for clients including Box, Dell, Symantec, UC Berkeley, and Ring Central.

Ben Snell
AI Artist, independent

Ben Snell is an AI artist based in New York. His practice investigates materialities and ecologies of computation. Using contemporary techniques in dialogue with traditional motifs, he situates technology as a mirror to reveal the self as a computational being. With emphasis on inquiry and introspection, his work takes the form of drawings, photography and sculpture. He holds a B.A. in Experiential Art and Design from Carnegie Mellon University and was recently an Artist in Residence at Pier 9 Autodesk.

Elle O'Brien
Chief Scientist, Botnik Studios

I translate tools from natural language processing and artificial intelligence into creativity engines for writers of all levels. As a core member of Botnik Studios, a startup in the Amazon Alexa Accelerator, I lead the development of algorithms that put interactive predictive text tools in the hands of a growing online community.

Skills include: recurrent neural networks and LSTM models, seq2seq models, GANs, word embedding models

Gregory Scott
Founder, SoundPrint

Gregory Scott is the founder of SoundPrint, a crowd-sourcing app that allows people to search for and measure venues based on how quiet or noisy they are. SoundPrint is the largest database worldwide of acoustic-based-venue data. Greg has a wide-spread business background in finance, marketing and business development. He also is an advocate for raising noise-pollution awareness and for those with hearing loss and other sensory disorders. He is a sought-after presenter and resource in the audiology and acoustic spaces as he has spoken at numerous conferences. He resides in New York City.

Jason Cohen
Founder & CEO, Analytical Flavor Systems

Before starting Analytical Flavor Systems, Jason was the Founder and Executive Director of the Tea Institute at Penn State, an interdisciplinary research institute dedicated to the study and preservation of tea, tea ceremony, and tea culture. In addition to overseeing the research of 30+ students in over 5 fields of study, Jason did his original research in Sensory Science and Machine Learning, and founded Analytical Flavor Systems after 4 years of research.

Josh Urban Davis
Research Assistant, Dartmouth University

Josh is a PhD student in computer science at Dartmouth. Interests broadly include Human-Computer Interaction, Deep Learning, and New Media.