Any views expressed within media held on this service are those of the contributors, should not be taken as approved or endorsed by the University, and do not necessarily reflect the views of the University in respect of any particular issue.

Huawei-Edinburgh Joint Lab

Huawei-Edinburgh Joint Lab

  1. Huawei-Edinburgh Joint Lab
  2. Tag: digital

Tag: digital

【BAYES COFFEE HOUSE TECH TALK SERIES】Operation-based Bidirectional Live Programming

Xing Zhang from the Peking University will give a talk, in person and online, for the Coffee House Tech Talk Series. Details of the talk are below. Speaker: Xing Zhang from Peking University External: https://app.huawei.com/wmeeting/join/97510312/WeYVCCjq5bnYtIA4O8HF9XZ2mSj8Cz6rl Time: 07/23(Tues) 11:00-12:00 (UTC+01:00)London Location: 4F Bayes Coffee House, Bayes Center Meeting ID: 97510312 Passcode: 431967 Registration: https://www.smartsurvey.co.uk/s/D8MKWE/ Abstract: Bidirectional live programming (BLP) systems allow developers to modify programs by directly […]

18th July 2024

【BAYES COFFEE HOUSE TECH TALK SERIES】Creative Informatics: Catalysing Edinburgh’s Creative Community to Innovate with Data

Melissa Terras from the University of Edinburgh will give a talk, in person and online, for the Coffee House Tech Talk Series. Details of the talk are below. Title: Creative Informatics: Catalysing Edinburgh’s Creative Community to Innovate with Data Speaker: Melissa Terras                      University of Edinburgh […]

25th March 2024

css.php

Report this page

To report inappropriate content on this page, please use the form below. Upon receiving your report, we will be in touch as per the Take Down Policy of the service.

Please note that personal data collected through this form is used and stored for the purposes of processing this report and communication with you.

If you are unable to report a concern about content via this form please contact the Service Owner.

Please enter an email address you wish to be contacted on. Please describe the unacceptable content in sufficient detail to allow us to locate it, and why you consider it to be unacceptable.
By submitting this report, you accept that it is accurate and that fraudulent or nuisance complaints may result in action by the University.

  Cancel