Grant: Collaborative Research and Development Grants
Université de Montréal
$205,000.00
Deep learning for cognitive computing
EF 2016-17
Résumé
The quest for artificial intelligence has advanced substantially in recent years, thanks in good part to breakthroughs in our ability to provide actionable knowledge to computers through what is called machine learning: provided with enough examples, the computer can learn to perform a task, and generalize correctly to new cases. These breakthroughs arose from a machine learning approach called deep learning, inspired from brains and based on older work on artificial neural networks. Initial progress has been in pattern recognition, especially for speech recognition and computer vision. These areas have been revolutionized by deep learning, both in academia and in the information technology industry. This project aims at contributing to the expansion of neural networks outside of their traditional pattern recognition domain into what is called cognitive computing, a strategic area for IBM, one that encompasses artificial intelligence research domains such as natural language understanding, reasoning, machine translation and dialogue, but also takes advantage of progress in computer vision and speech recognition.
Programme
Collaborative Research and Development Grants
Bénéficiaire
Emplacement
Quebec, Canada
Type de bénéficiaire
Academia
Type
Grant
Source
NSERC's Awards Data
Tel que publié
Application id
490785-2015
Name nom
Bengio, Yoshua
Department département
Informatique et recherche opérationnelle
Organization id
63
Institution établissement
Université de Montréal
Province en
Québec
Province fr
Québec
Country en
CANADA
Country fr
CANADA
Fiscal year exercice financier
2016
Competition year année de concours
2015
Award amount
205000
Program id
CRDPJ
Program name en
Collaborative Research and Development Grants
Program name fr
Subventions de recherche et développement coopérative
Group en
Research partnerships programs
Group fr
Programmes de partenariat
Committee code
96
Committee name en
RPP Internal Decision Cttee
Committee name fr
Cté de décision interne - PPR
Area of application code
800
Area of application group en
Information and communication services
Area of application group fr
Services d'information et de télécommunications
Area of application en
Information and communication services
Area of application fr
Services d'information et de télécommunications
Research subject code
2805
Research subject group en
Artificial intelligence
Research subject group fr
Intelligence artificielle
Research subject en
Learning and inference theories
Research subject fr
Théories de l'apprentissage et l'inférence
Partie
1
Nb partie
2
Application title
Deep learning for cognitive computing
Keyword
NSERC
Application summary
The quest for artificial intelligence has advanced substantially in recent years, thanks in good part to breakthroughs in our ability to provide actionable knowledge to computers through what is called machine learning: provided with enough examples, the computer can learn to perform a task, and generalize correctly to new cases. These breakthroughs arose from a machine learning approach called deep learning, inspired from brains and based on older work on artificial neural networks. Initial progress has been in pattern recognition, especially for speech recognition and computer vision. These areas have been revolutionized by deep learning, both in academia and in the information technology industry. This project aims at contributing to the expansion of neural networks outside of their traditional pattern recognition domain into what is called cognitive computing, a strategic area for IBM, one that encompasses artificial intelligence research domains such as natural language understanding, reasoning, machine translation and dialogue, but also takes advantage of progress in computer vision and speech recognition.