NYC Media Lab’s projects and programs in AI, machine learning, natural language processing, computer vision, voice, data visualization and more.
Recent Experiments with corporate members
For the Press Play project, ESPN sought out a team of researchers that could evaluate and deliver prototypes aimed at improving the mobile experience for watching ESPN videos on ESPN.com, with the ultimate goal of getting sports fans to “press play.
Vonage and NYC Media Lab convened a team from NYU’s Tandon School of Engineering to examine IoT products to develop a perspective on what’s possible with machine learning platforms and algorithms, and to determine which algorithms would be best suited for the various types of learning that would be required in the IoT field.
ESPN came to NYC Media Lab with a desire to explore possible ways to connect with the next generation of sports fans, with particular attention to millennials. ESPN was interested in working with those who could provide the best insight into the generation’s preferences and behaviors—millennials themselves.
Driving user engagement is a core objective for media companies, even if there is less agreement on the best metrics with which to measure it. As companies begin to capture more available data, and further develop the sophistication to wield it, the opportunity to drive engagement through personalization bears more and more promise...
This project was a study on the measurement and analysis of adaptive streaming over HTTP. Researchers at NYU Tandon, working with experimental data from adaptive streaming systems like Netflix and Redbox Instant, measured their performance in typical user networking environments, such as residential access networks and campus networks.