Title:
Applying Emerging Technologies In Service of Journalism at The New York Times
Applying Emerging Technologies In Service of Journalism at The New York Times
| dc.contributor.author | Boonyapanachoti, Woraya (Mint) | |
| dc.contributor.author | Dellaert, Frank | |
| dc.contributor.author | Essa, Irfan | |
| dc.contributor.author | Fleisher, Or | |
| dc.contributor.author | Kanazawa, Angjoo | |
| dc.contributor.author | Lavallee, Marc | |
| dc.contributor.author | McKeague, Mark | |
| dc.contributor.author | Porter, Lana Z. | |
| dc.contributor.corporatename | Georgia Institute of Technology. Machine Learning | en_US |
| dc.contributor.corporatename | New York Times. Research and Development | en_US |
| dc.date.accessioned | 2020-11-06T20:44:51Z | |
| dc.date.available | 2020-11-06T20:44:51Z | |
| dc.date.issued | 2020-10-30 | |
| dc.description | Presented online on October 30, 2020 at 2:00 p.m. | en_US |
| dc.description | Woraya (Mint) Boonyapanachoti is a creative technologist born in Bangkok and based in New York City. Her work focuses on immersive visualizations and integrating emerging technologies to explore new boundaries of reality and create engaging interactive experiences. She is currently part of The New York Times Research & Development team. | en_US |
| dc.description | Frank Dellaert is a Professor in the School of Interactive Computing at the Georgia Institute of Technology. He is also affiliated with the IRIM@GT center and is well known for contributions to Robotics and Computer Vision. Dr. Dellaert does research in the areas of robotics and computer vision, which present some of the most exciting challenges to anyone interested in artificial intelligence. | en_US |
| dc.description | Irfan A. Essa is a Distinguished Professor in the School of Interactive Computing (iC) and a Senior Associate Dean in the College of Computing (CoC), at the Georgia Institute of Technology (GA Tech). Professor Essa works in the areas of Computer Vision, Machine Learning, Computer Graphics, Computational Perception, Robotics, Computer Animation, and Social Computing, with potential impact on Autonomous Systems, Video Analysis, and Production (e.g., Computational Photography & Video, Image-based Modeling and Rendering, etc.) Human Computer Interaction, Artificial Intelligence, Computational Behavioral/Social Sciences, and Computational Journalism research. | en_US |
| dc.description | Or Fleisher is an award-winning developer, interactive creator and artist working at the intersection of technology and storytelling. His work combines computer graphics, machine learning and immersive experience development in virtual, augmented and mixed realities. He is currently the Senior Engineer of the New York Times R&D Team. | en_US |
| dc.description | Angjoo Kanazawa is an Assistant Professor in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. I am also a Research Scientist at Google Research. Her research lies at the intersection of computer vision, computer graphics, and machine learning. | en_US |
| dc.description | Marc Lavallee is the Executive Director of New York Times Research and Development. | en_US |
| dc.description | Mark McKeague is a designer and technologist based in New York. In his work he creates systems, devices and experiences which explore new technologies, often focusing on sound. He is currently the Technical Lead of the New York Times R&D team. | en_US |
| dc.description | Lana Porter has spent a decade in the creative services industry making big ideas more human for companies like Radical Media, IDEO, and VICE Media. She is currently the Creative Director of R&D at The New York Times. | en_US |
| dc.description | Runtime: 82:08 minutes | en_US |
| dc.description.abstract | Emerging technologies, particularly within computer vision, photogrammetry, and spatial computing, are unlocking new forms of storytelling for journalists to help people understand the world around them. In this talk, members of the R&D team at The New York Times talk about their process for researching and developing new capabilities built atop emerging research. In particular, hear how they are embracing photogrammetry and spatial computing to create new storytelling techniques that allow a reader to experience an event as close to reality as possible. Learn about the process of collecting photos, generating 3D models, editing, and technologies used to scale up to millions of readers. The team will also share their vision for these technologies and journalism, their ethical considerations along the way, and a research wishlist that would accelerate their work. In its 169 year history, The New York Times has evolved with new technologies, publishing its first photo in 1896 with the rise of cameras, introducing the world’s first computerized news retrieval system in 1972 with the rise of the computer, and launching a website in 1996 with the rise of the internet. Since then, the pace of innovation has accelerated alongside the rise of smartphones, cellular networks, and other new technologies. The Times now has the world’s most popular daily podcast, a new weekly video series, and award-winning interactive graphics storytelling. Join us for a discussion about how our embrace of emerging technologies is helping us push the boundaries of journalism in 2020 and beyond. | en_US |
| dc.format.extent | 82:08 minutes | |
| dc.identifier.uri | http://hdl.handle.net/1853/63816 | |
| dc.language.iso | en_US | en_US |
| dc.relation.ispartofseries | Machine Learning @ Georgia Tech (ML@GT) Seminar Series | |
| dc.subject | 3D journalism | en_US |
| dc.subject | Computer vision | en_US |
| dc.subject | Emerging technololgies | en_US |
| dc.subject | Journalism | en_US |
| dc.subject | Immersive technology | en_US |
| dc.subject | Photogrammetry | en_US |
| dc.title | Applying Emerging Technologies In Service of Journalism at The New York Times | en_US |
| dc.type | Moving Image | |
| dc.type.genre | Lecture | |
| dspace.entity.type | Publication | |
| local.contributor.author | Essa, Irfan | |
| local.contributor.author | Dellaert, Frank | |
| local.contributor.corporatename | Machine Learning Center | |
| local.contributor.corporatename | College of Computing | |
| local.relation.ispartofseries | ML@GT Seminar Series | |
| relation.isAuthorOfPublication | 84ae0044-6f5b-4733-8388-4f6427a0f817 | |
| relation.isAuthorOfPublication | dac80074-d9d8-4358-b6eb-397d95bdc868 | |
| relation.isOrgUnitOfPublication | 46450b94-7ae8-4849-a910-5ae38611c691 | |
| relation.isOrgUnitOfPublication | c8892b3c-8db6-4b7b-a33a-1b67f7db2021 | |
| relation.isSeriesOfPublication | 9fb2e77c-08ff-46d7-b903-747cf7406244 |
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