Deep neural networks that learn to represent data in multiple layers of increasing abstraction have dramatically improved the state-of-the-art for speech recognition, object recognition, object detection, predicting the activity of drug molecules, and many other tasks. Deep learning discovers intricate structure in large datasets by building distributed representations, either via supervised, unsupervised or reinforcement learning....

En savoir plus

The biennial International Conference on Monte Carlo Methods and Applications (MCM) is a mathematically-oriented meeting devoted to the study of stochastic simulation and Monte Carlo methods in general, from the theoretical viewpoint and in terms of their effective applications in different areas such as nance, statistics, machine learning, computer graphics, computational physics, biology, chemistry, and scientific computing in general.

Joignez-vous à la compétition ConvAI comme évaluateur humain pour créer une nouvelle génération de robot-clavardeurs vraiment intelligents Les systèmes de dialogue et les agents conversationnels – incluant les robot-clavardeurs, les assistants personnels et les interfaces de contrôle vocal – sont de plus en plus répandus dans nos vie quotidiennes. Tout de même, l’intelligence conversationnelle demeure...

En savoir plus