Puffer (TV service)

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For other uses, see Puffer.
Puffer
IndustryInternet Television
FoundedJanuary 18, 2019 (2 years ago) (2019-01-18)
FoundersFrancis Y. Yan
Hudson Ayers
Chenzhi Zhu
Sadjad Fouladi
James Hong
Keyi Zhang
Philip Levis
Keith Winstein
HeadquartersStanford University, California,
United States
Area served
Bay Area and around United States
ServicesOTT television
OwnerStanford University
Websitepuffer.stanford.edu

Puffer is an American over-the-top internet television service that focuses primarily on channels, CBS (KPIX 5), NBC (KNTV 11), ABC (KGO 7), Fox (KTVU 2), PBS (KQED 9), and The CW (KBCW 44).

Launched on January 18, 2019, as a streaming service, the Puffer project is led by Francis Yan, a doctoral student in computer science at Stanford University, along with Hudson Ayers and Sadjad Fouladi (also Stanford) and Chenzhi Zhu from Tsinghua University. The project is advised by professors Keith Winstein and Philip Levis.[1]

History[]

Puffer was launched on January 18, 2019 by Francis Y. Yan, Hudson Ayers, Chenzhi Zhu, Sadjad Fouladi, James Hong, Keyi Zhang, Philip Levis, and Keith Winstein of the Stanford University research.[2][3] It is a research study about using machine learning to improve video-streaming algorithms: the kind of algorithms used by services such as YouTube, Netflix, and Twitch. They are trying to figure out how to teach a computer to design new algorithms that reduce glitches and stalls in streaming video (especially over wireless networks and those with limited capacities, such as in rural areas), improve picture quality, and predict how the capacity of an Internet connection will change over time.[2]

Supported apps & devices[]

Browsers[]

Devices[]

References[]

  1. ^ Puffer Frequently Asked Questions Stanford University
  2. ^ a b Humphries, Matthew (2019-01-18). "Stanford University Launches a Streaming TV Service (for Science)". PCMAG. Retrieved 2019-12-31.
  3. ^ Under anonymous submission (Sept. 19, 2019)Learning in situ: a randomized experiment in video streaming Stanford University, September 23, 2019

External links[]

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