Assessed

DataValoris

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'Team points' are awarded according to the adequacy of the solution with the type of innovations sought by Team for the Planet. They correspond to the analysis of several factors :

  • impact potential: impact average score > 4 => 0,5 point / if > 4,15 => 1 point.
  • global consistency: all average score of the 6 selection criteria > 2,5 => 1 point.
  • the favourite: % of assessments judge the innovation as a top one to act on a global scale against greenhouse gases > 20% => 1 point
  • the targeting: validation of Team for the Planet scope of action higher than 90% => 0,5 point + innovation level of maturity is enough => 0,5 point
  • social acceptability: semantic analysis score of comments > 0 => 0,5 point/ if > 3500 => 1 point
20 assessments

Submitted for assessment : After checking that an innovation is within the scope of the 20 issues Team for the Planet targets and that it has reached a sufficient maturity, the innovation is being assessed.

En nous inspirant de l’évolution du vivant, nous créons des IA évolutives et apprenantes

Lever of action
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Sector
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Submission date December 04, 2020 Founders Jean-Patrice Glafkidès Development location France

Detailed project

NB: this form is filled entirely by the ones submitting the innovation.

What is the issue addressed?

Notre innovation permet de générer automatiquement des IA pour des problèmes ciblés en phase avec les donneurs d'ordre. C'est une deeptech utilisable par tous les acteurs de l'écologie au sens large

How is the problem solved?

On democratise l'utilisation d'IA pour des sujets où les moyens sont faible malgré des impacts sociétaux importants

What is the customer target?

Toute entreprise ayant besoin de developper des services innovants avec de l'intelligence artificielle

How is this solution different?

On allie les algorithmes génétiques aux solutions de deeplearning. Des réseaux de neurones construits avec des algorithmes génétiques