Unanimous_A.I.

Unanimous A.I.

Unanimous A.I.

American technology company specializing in artificial swarm intelligence


Unanimous AI is an American technology company provides artificial swarm intelligence (ASI) technology.[1][2][3] Unanimous AI provides a "human swarming" platform "swarm.ai" (formally called UNU) that allows distributed groups of users to collectively predict answers to questions.[4][5][6] This process has resulted in successful predictions of major events such as the Kentucky Derby, the Oscars, the Stanley Cup, Presidential Elections, and the World Series.[7][8][9][10][11][12]

Quick Facts Company type, Founded ...

In 2018, the firm collaborated with Stanford University School of Medicine to study using artificial swarming algorithms for diagnostics.[13][14]

Building a "Hive Mind" using Swarm AI technology

In 2019, the platform was featured on the Amazon Original Series, "Giant Beast That is The Global Economy". The general public used Swarm.ai to forecast box-office results for summer movies (2018). Participants correctly forecasted that Incredibles 2 would significantly outperform other highly anticipated films at the box-office.[15][16]

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[17][18]


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. Engelking, Carl (March 14, 2016). "Let Swarm Intelligence Optimize Your Tournament Bracket". Discover.
  4. 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.
  5. 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.
  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. "Unanimous AI achieves 22% more accurate pneumonia diagnoses". VentureBeat. 2018-09-10. Retrieved 2018-10-20.
  9. "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.

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