Stanford Seminar - Neuromorphic Chips - Addressing the Nanostransistor Challenge
Stanford University
60 Cours
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Aperçu
Ce cours vise à enseigner aux apprenants les puces neuromorphiques et comment elles relèvent le défi du nanotransistor. Les résultats d'apprentissage incluent la compréhension du concept d'informatique neuromorphique, la mise en œuvre du calcul dendritique avec l'analogique en dessous du seuil, et la comparaison entre l'informatique numérique, analogique et neuromorphique.
Le cours couvre des compétences telles que l'approximation des transformations dynamiques avec le Neural Engineering Framework (NEF) et la construction de modèles de cerveau entier avec des neurones à signaux.
La méthode d'enseignement implique un format de séminaire avec un accent sur les concepts théoriques et des exemples pratiques.
Ce cours s'adresse aux personnes intéressées par les sujets avancés en informatique, ingénierie neuromorphique et intelligence artificielle.
Université : Université de Stanford
Fournisseur :
Catégories : Cours de Génie Électrique
