Fourth Quarter Session & Holiday Drinks
At the Machines + Media Working Group, you’ll meet like-minded, data-driven peers.
Join us for a session—to be held each quarter in 2019—to collaborate, share ideas and tricks of the trade, engage in joint projects, and work to build a repository of open source code that can help advance the media industry.
NYC Media Lab has built a community of industry executives and technologists, faculty, students, and entrepreneurs each pursuing applications of data science to media. Advances in artificial intelligence and machine learning, natural language processing, computer vision, and a variety of other technologies are among the most compelling developments for media companies, offering possibilities for the creation, production, distribution and monetization of media content and interactive experiences.
RSVP to attend
Agenda for Thursday, December 5, 2019
2:00PM: Registration & Networking
Get to know the group members over coffee and refreshments.
2:30PM: Introduction and Overview
About the 2019 Machines + Media Working Group and ways to collaborate.
2:45PM: What's State of the Art? What’s in Market?
Hear technical presentations from startup and industry leaders who will share the latest innovations in data. Speakers will be announced soon!
4:00PM: Roundtable Discussion: What’s Top of Mind?
Engage in a group discussion on top priorities for applications of data science in media.
5:00PM: Working Group Ends.
5:00PM-6:00PM: Join us for a Happy Hour to celebrate the holidays!
We will gather at a nearby restaurant to continue the conversation.
fourth quarter session location
Working group Recap & Related links
The first quarter session was held on Friday, February 22 at The Associated Press. The event included:
A research presentation from: Lydia Chilton, Professor in the Computer Science Department at Columbia University. Her work focuses on crowdsourcing and decomposing hard design problems so that people and machines can collaborate to solve them. She presented VisiBlends, a data system which uses computational techniques and natural language processing to auto-generate visual blends that can pass human visual object recognition.
A startup presentation from: Rungson Samroengraja, President & COO of Satisfi Labs. Satisfi Labs is a conversational AI platform. Its Answer Engine powers chatbots, voice experiences, messaging apps and website forums to provide an answer to all customer questions in real time.
A startup presentation from: Armando Kirwin, Co-Founder of Artie. Artie helps content creators bring virtual characters to life on mobile. Its network shares insights and analytics in real time, allowing creators to understand how consumers interact with each character.
The second quarter session was held on Tuesday, June 11, 2019 at Viacom. The event included:
A research presentation from: Michael I Mandel, Associate Professor of Computer and Information Science at Brooklyn College and the CUNY Graduate Center. Mandel works at the intersection of machine learning, signal processing, and psychoacoustics. His work is supported by the National Science Foundation, including via a CAREER award, the Alfred P. Sloan Foundation, and Google, Inc.
A research presentation from: Enrico Bertini, Associate Professor, Computer Science and Engineering, NYU Tandon School of Engineering. His research focuses on the study of effective data visualization methods and techniques to explore and make sense of large and often high-dimensional data. Bertini's work has been applied to several application domains including: biochemistry, cybersecurity, development, healthcare, climate science, human rights.
A group discussion on priorities and topic areas of interest, including:
Automated creative content generation & 3D scene generation
Workflow solutions for preparing content and data for voice interfaces
Applications of computer vision, including video analysis and searchability
Synthetic media - fake news, AI+ethics, consumer data + adtech
Applications of 5G, edge computing sensors, data inputs
Explainable AI + model interpretability
The third quarter session was held on Tuesday, September 10, at Bloomberg. The event included:
A startup presentation from: Greg Burnham, Senior Researcher, Elemental Cognition. Elemental Cognition is driving the future of AI by changing the way machines learn, ensuring that they can explain the ‘why’ behind their answers. Through language understanding, our technology will be a thought partner and accelerate how all people learn, reason, and create.
A research presentation from: Michele Franceschini, Senior Research Scientist, Bloomberg. Michele’s specialties are in ECC, signal processing, new memory technologies, memory subsystems, communication systems, optical communications, and Low-density parity-check codes
A research presentation from: Anna Coenen, Senior Data Scientist, The New York Times
A collaborative discussion on Explainable Ai, the Q3 working group session topic. Guests explored opportunities, challenges, and potential ways to implement the technology area within their companies.