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L'intelligence artificielle et le futur de la recherche. Par Rémi Longuechaud.

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L'intelligence artificielle et le futur de la recherche :
Partie 1 : Introduction sur l'intelligence artificielle
Partie 2 : L'intelligence artificielle dans le cadre de la recherche
Partie 3 : Le futur de la recherche

Published in: Technology
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L'intelligence artificielle et le futur de la recherche. Par Rémi Longuechaud.

  1. 1. L’intelligence artificielle LE FUTUR DE LA RECHERCHE
  2. 2. 310 000 GIGABYTES OF DATA (10s)
  3. 3. 930 000 FACEBOOK POSTS (10s)
  4. 4. 140 000 TWEETS (10s)
  5. 5. 25 000 INTAGRAM UPLOADS (10s)
  6. 6. 12 000 000 MESSAGES SENT (10s)
  7. 7. 320 000 SNAPCHAT SENT (10s)
  8. 8. L’IA INTRODUCTION L’ACTUALITÉ MOTEUR DE RECHERCHE L'intelligence artificielle est une discipline scientifique recherchant des méthodes de résolution de problèmes à forte complexité logique ou algorithmique. Par extension, elle désigne, dans le langage courant, les dispositifs imitant ou remplaçant l'humain dans certaines mises en œuvre de ses fonctions cognitives. Source Wikipédia.
  9. 9. L’IA INTRODUCTION L’ACTUALITÉ MOTEUR DE RECHERCHE Lorsque l’on a construit le premier avion, on a pas cherché à reproduire le comportement d’un oiseau. On s’en est inspiré, on a utilisé les principes de la physique pour atteindre le même résultat. Avec l’intelligence artificielle, c’est la même chose. On va s'inspirer des caractéristiques que l’on comprend de l'intelligence naturelle et ce qui va nous être utile pour atteindre le même résultat.
  10. 10. INTRODUCTION "L'impact à court terme de l'intelligence artificielle dépend de qui la contrôle. Et, à long terme, de savoir si elle peut être tout simplement contrôlée" Stephen Hawking Même si l’évolution humaine à une large avance sur les machines, les machines nous ont déjà surpassé dans certain domaines. L’objectif de DeepMind est de « résoudre l’intelligence ». "Je pense que nous devrions faire très attention avec l’intelligence artificielle. Si je devais imaginer quelle serait notre plus grande menace existentielle, c’est probablement ça. » Elon Musk L’IA L’ACTUALITÉ MOTEUR DE RECHERCHE
  11. 11. INTRODUCTION Exposées pour la première fois dans sa nouvelle Cercle Vicieux (1942), les lois sont : 1. Un robot ne peut porter atteinte à un être humain. 2. Un robot doit obéir aux ordres qui lui sont donnés par un être humain. 3. Un robot doit protéger son existence tant que cette protection n'entre pas en conflit avec la première ou la deuxième loi. L’IA L’ACTUALITÉ MOTEUR DE RECHERCHE
  12. 12. INTRODUCTION Un moteur de recherche est une application web permettant, de trouver des ressources à partir d'une requête sous forme de mots. Les ressources peuvent être des pages web, des articles des forums, des images, des vidéos, des fichiers, etc.. Source Wikipédia. L’IA L’ACTUALITÉ MOTEUR DE RECHERCHE
  13. 13. L’IA ET LE SEARCH Quelles sont les meilleurs destinations ? Les requêtes tendent aujourd’hui à présenter davantage des phrases contenant des adverbes interrogatifs tels que : quand, qui, comment, pourquoi, quel ? Comme si les utilisateurs manifestaient un réel sentiment de s’adresser à une personne physique. Quel avenir pour l’IA ? Quels sont les meilleurs restaurants ? INTENTION SÉMANTIQUE RÉSEAU NEURONAL MACHINE LEARNING DEEP LEARNING
  14. 14. L’IA ET LE SEARCH IBM a créé une équipe de recherche, dans son centre d’Almaden en Californie, axée sur les algorithmes d’apprentissage de Numenta. Cette start-up simule des réseaux de neurones, avec l’idée d’être aussi fidèle que possible au fonctionnement des neurones biologiques. INTENTION SÉMANTIQUE RÉSEAU NEURONAL MACHINE LEARNING DEEP LEARNING
  15. 15. L’IA ET LE SEARCH Réception des données Traitement des données Restitution des données INTENTION SÉMANTIQUE RÉSEAU NEURONAL MACHINE LEARNING DEEP LEARNING
  16. 16. Les algorithmes ne jouent qu’à 20% dans la qualité des prédictions, les 80% autres sont dus à la qualité des données.
  17. 17. L’IA ET LE SEARCH Le « Machine Learning » est une forme d’intelligence artificielle qui permet aux machines d’apprendre de manière autonome. Ces programmes informatiques sont capables d'évoluer en présence de nouvelles données. INTENTION SÉMANTIQUE RÉSEAU NEURONAL MACHINE LEARNING DEEP LEARNING
  18. 18. L’IA ET LE SEARCH INTENTION SÉMANTIQUE RÉSEAU NEURONAL MACHINE LEARNING DEEP LEARNING Apollon apollon Diesel diesel Il n’existe pas de lien sémantique entre l’acteur Vin Diesel et le moteur à combustion qui porte le même nom. C’est le même constat, si le dieu Apollon a perdu sa majuscule pour désigner, un beau jeune homme. Ces particularités sont assez facilement assimilables par l’humain, mais beaucoup moins pour un moteur de recherche.
  19. 19. L’IA ET LE SEARCH La technologie du « Deep Learning », ou « apprentissage profond » donne le moyen à une machine de représenter le monde. C’est une machine virtuelle composée de milliers d’unités, les neurones, qui effectuent chacune de petits calculs simples. INTENTION SÉMANTIQUE RÉSEAU NEURONAL MACHINE LEARNING DEEP LEARNING
  20. 20. L’IA ET LE SEARCH INTENTION SÉMANTIQUE RÉSEAU NEURONAL MACHINE LEARNING DEEP LEARNING
  21. 21. L’IA ET LE SEARCH INTENTION SÉMANTIQUE RÉSEAU NEURONAL MACHINE LEARNING DEEP LEARNING
  22. 22. 20% des requêtes faites sur Android et 1/4 des recherches faites avec Bing dans Windows 10 aux U.S. sont des recherches vocales.
  23. 23. LE FUTUR DU SEARCH LA RECHERCHE VOCALE L’ASSISTANT PERSONNEL
  24. 24. LE FUTUR DU SEARCH LA RECHERCHE VOCALE L’ASSISTANT PERSONNEL
  25. 25. LE FUTUR DU SEARCH LA RECHERCHE VOCALE L’ASSISTANT PERSONNEL
  26. 26. LE FUTUR DU SEARCH LA RECHERCHE VOCALE L’ASSISTANT PERSONNEL
  27. 27. L’intelligence artificielle LE FUTUR DE LA RECHERCHE

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