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Archive of posts published in the category: Stanford
May
3

Computer Graphics at Stanford University

<br /> Computer Graphics at Stanford University<br />

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Note added 4/21/20 by Marc Levoy:

Except for links to People > Faculty, this web site has become outdated. Most
links to Research projects, Courses in graphics, Technical publications, Slides
from talks, Software packages, Data archives, and Cool Demos still function and
might be useful. However, links to people other than faculty, infrastructure,
and opportunities for students are likely broken or irrelevant.


News flashes:

  • 11/26/19
    Marc Levoy’s team
    has published a new article
    in the Google Research Blog
    about
    astrophotography on Pixel 4.
  • 10/28/19
    Marc Levoy’s team
    has open-sourced an
    API
    for retrieving dual-pixel data from recent Pixel phones.
    Useful for computing depth from single-camera phones.
  • 10/28/19
    Marc Levoy’s team in Google Research
    has published a paper in
    SIGGRAPH Asia (and
    Arxiv)
    describing how
    Night Sight works on Pixel 3.



    In the Department of Management Science & Engineering

    eCorner

    Stanford ETL Goes Virtual

    For the Spring 2020 quarter, ETL talks will be streamed live on YouTube! Stanford Entrepreneurial Thought Leaders’ series invites founders, investors and industry influencers to share what it takes to become a disruptor.

    Research

    MS&E Faculty Win Research Award

    STVP faculty co-directors’, MS&E Assoc. Prof. Chuck Eesley and MS&E Prof. Kathy Eisenhardt, article “Failure is an option: Institutional change, entrepreneurial risk, and new firm growth,” wins award for Responsible Research in Mgmt.

    eCorner

    Building Billion Dollar Businesses

    Unicorns aren’t random occurrences. In fact, truly massive tech companies share some very similar DNA. Listen to MS&E Lecturer and Alchemist Accelerator’s managing director, Ravi Belani’s Stanford ETL talk.





  • Source Article Read More

    Apr
    9

    Computer Science 101 | Stanford Online

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    Description

    CS101 is a self-paced course that teaches the essential ideas of Computer Science for a zero-prior-experience audience. Computers can appear very complicated, but in reality, computers work within just a few, simple patterns. CS101 demystifies and brings those patterns to life, which is useful for anyone using computers today.

    In CS101, participants play and experiment with short bits of “computer code” to bring to life to the power and limitations of computers. Everything works within the browser, so there is no extra software to download or install. CS101 also provides a general background on computers today: what is a computer, what is hardware, what is software, what is the internet. Anyone who has the ability to use a web browser may be successful in this course. No previous computer science experience is required.

    Topics

    • The nature of computers and code, what they can and cannot do
    • How computer hardware
    Read More