Stanford Seminar - Dialog Markets

Stanford University via YouTube

YouTube

60 Cours


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Aperçu

Explorez l'impact croissant de l'apprentissage automatique (AA) à travers divers domaines riches en données et axés sur les objectifs au Séminaire de Stanford sur les Marchés de Dialogue. Cette session perspicace se penche sur la contribution potentielle de l'AA dans les domaines nécessitant une réflexion approfondie – que ce soit la réflexion sur des objectifs personnels ou les défis sociétaux tels que l'amélioration de l'aide aux personnes défavorisées.

Le séminaire présentera une approche novatrice pour créer des systèmes automatisés qui engagent les utilisateurs dans un dialogue significatif pour naviguer à travers des requêtes complexes. En passant de tactiques traditionnelles d'automatisation des dialogues à un modèle qui apprend les 'actions cognitives' au sein d'un espace de coopération, ce système envisage un espace collaboratif où l'intelligence humaine complète les efforts de la machine. Au cœur de cette innovation se trouve l'établissement d'un Marché de Dialogue – un système conçu pour favoriser des conversations de haute qualité qui clarifient des questions ambiguës grâce à des incitations pour les contributions crowdsourcées.

À propos de l'intervenant : Andreas Stuhlmüller, une figure notable dans le domaine, possède un B.Sc. en Science Cognitive et un Ph.D. en Sciences du Cerveau et Cognitives du MIT, où il a considérablement contribué à la modélisation cognitive et aux langages de programmation probabilistes. Actuellement, il poursuit ses recherches au laboratoire de Calcul & Cognition de l'Université de Stanford.

Ce séminaire est incontournable pour les enthousiastes et les professionnels de l'Apprentissage Automatique, des Réseaux Neuronaux, de l'Apprentissage Supervisé et du Traitement du Langage Naturel (TLN), disponible via l'Université de Stanford sur YouTube.

Programme


Enseigné par

Stanford Online


Étiquettes

united states

provider YouTube

YouTube

34 Cours


YouTube

pricing Free Online Course
language English
duration 59 minutes
sessions On-Demand