Unanimous A.I.

Unanimous AI
Company typePrivate
Founded2014
FounderLouis Rosenberg
HeadquartersSan Francisco, California, United States
Websitehttp://unanimous.ai/

Unanimous AI is an American technology company providing artificial swarm intelligence (ASI) technology.[1][2] Unanimous AI provides a "human swarming" platform "swarm.ai" (formally called UNU) that allows distributed groups of users to collectively predict answers to questions. This process has resulted in successful predictions of events such as the Kentucky Derby, the Oscars, the Stanley Cup, presidential elections, and the World Series.[3][4][5][6][7]

In 2018, the firm collaborated with Stanford University School of Medicine to study using artificial swarming algorithms for diagnostics.[8][9]

In 2020, the firm published an accurate forecast for the 2020 United States presidential election, including correct predictions for all 11 battleground states, and an accurate prediction of the baseball 2020 World Series[10][11]

Swarm has also been used by companies like Credit Suisse on predicting stock markets and Disney on predicting the success of films by tapping into collective intelligence.[12]

References

  1. ^ Scudellari, Megan (2018-09-13). "AI-Human "Hive Mind" Diagnoses Pneumonia". IEEE Spectrum: Technology, Engineering, and Science News. Retrieved 2019-03-05.
  2. ^ Gent, Edd (May 13, 2020). "How AI can help us harness our Collective Intelligence". www.bbc.com.
  3. ^ Rosenberg, Louis (September 29, 2015). "Human swarming, a real-time method for parallel distributed intelligence". 2015 Swarm/Human Blended Intelligence Workshop (SHBI). IEEE Xplore. pp. 1–7. doi:10.1109/SHBI.2015.7321685. ISBN 978-1-4673-6522-2.
  4. ^ Rosenberg, Louis (July 29, 2015). "Human Swarms, a real-time method for collective intelligence". The MIT Press. Archived from the original on October 27, 2015.
  5. ^ "Artificial intelligence turns $20 into $11,000 in Kentucky Derby bet". Newsweek. 2016-05-10. Retrieved 2017-01-27.
  6. ^ Rosenberg, Louis; Pescetelli, Niccolo (2017). "Amplifying prediction accuracy using Swarm A.I.". 2017 Intelligent Systems Conference (IntelliSys). pp. 61–65. doi:10.1109/intellisys.2017.8324329. ISBN 978-1-5090-6435-9. S2CID 4366745.
  7. ^ Rosenberg, L.; Baltaxe, D.; Pescetelli, N. (2016-10-01). "Crowds vs swarms, a comparison of intelligence". 2016 Swarm/Human Blended Intelligence Workshop (SHBI). pp. 1–4. doi:10.1109/SHBI.2016.7780278. ISBN 978-1-5090-3502-1. S2CID 12725324.
  8. ^ Wiggers, Kyle (2018-09-10). "Unanimous AI achieves 22% more accurate pneumonia diagnoses". VentureBeat. Retrieved 2018-10-20.
  9. ^ Scudellari, Megan (September 13, 2018). "AI-Human "Hive Mind" Diagnoses Pneumonia". IEEE Spectrum: Technology, Engineering, and Science News. Retrieved 2018-10-20.
  10. ^ McCormick, Jared Council and John (2020-11-06). "Artificial Intelligence Shows Potential to Gauge Voter Sentiment". Wall Street Journal. ISSN 0099-9660. Retrieved 2020-11-11.
  11. ^ "AI predicts a Dodgers World Series win after a COVID-shortened season". Engadget. July 23, 2020. Retrieved 2020-11-11.
  12. ^ "How AI can help us harness our 'collective intelligence'". www.bbc.com. 2020-05-14. Retrieved 2026-03-03.
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