DreamLab

DreamLab
Developer(s)Imperial College London
Stable release
3.2.0.2641 / November 23, 2020 (2020-11-23)
Operating systemiOS, Android
TypeDistributed computing
LicenseProprietary
Websitewww.vodafone.co.uk/mobile/dreamlab

DreamLab is a volunteer distributed computing mobile Android and iOS app launched in 2015 by Imperial College London and the Vodafone Foundation.[1][2]

Description

The app currently helps to research cancer[3] and COVID-19, and research new drugs. To do this, DreamLab accesses part of the device's processing power, with the user's consent, while the owner is charging their smartphone, to speed up the calculations of the AI algorithm from the ICL (Imperial College London) research laboratory.[4][1]

The aim is to find existing drugs and food molecules that could help people with COVID-19 and other diseases. The performance of 100,000 smartphones would reach the annual output of all research computers at Imperial College in just three months with a nightly runtime of six hours.[3][5][6]

The app was developed in 2015 by the Garvan Institute of Medical Research in Sydney and the Vodafone Foundation.[7][8]

See also

References

  1. 1 2 "New COVID-19 project will use the power of smartphones to search for treatments | Imperial News | Imperial College London". Imperial News. Retrieved 2020-05-07.
  2. ↑ "DreamLab". Garvan Institute of Medical Research. Retrieved 2020-05-07.
  3. 1 2 "Mobile app 'finds anti-cancer molecules in food'". BBC News. 2019-07-10. Retrieved 2020-05-08.
  4. ↑ "Corona-KI". www.vodafone.com. Retrieved 2020-05-07.
  5. ↑ "Leave your smartphone on overnight find ways to fight Covid-19". Evening Standard. 2020-04-08. Retrieved 2020-05-21.
  6. ↑ "Dreamlab app helps scientists speed up Corona-AI research". Tech Digest. 2020-12-04. Retrieved 2021-05-14.
  7. ↑ "Wirtschaft, Handel & Finanzen: App lässt Smartphones nachts für Corona-Forschung arbeiten". www.handelsblatt.com (in German). Retrieved 2020-05-07.
  8. ↑ "DreamLab". Garvan Institute of Medical Research. Retrieved 2020-05-07.


This article is issued from Offline. The text is licensed under Creative Commons - Attribution - Sharealike. Additional terms may apply for the media files.