Search results
Reconnu mondialement comme l’un des plus grands experts en intelligence artificielle, Yoshua Bengio est surtout connu pour ses travaux précurseurs en apprentissage profond, qui lui ont valu, avec Geoff Hinton et Yann LeCun, le Prix A.M. Turing 2018, considéré comme le « prix Nobel de l’informatique ».. Il est professeur titulaire à l’Université de Montréal, fondateur et directeur ...
How Rogue AIs may Arise. Published 22 May 2023 by yoshuabengio. The rise of powerful AI dialogue systems in recent months has precipitated debates about AI risks of all kinds, which hopefully will yield an acceleration of governance and regulatory frameworks. Although there is a general consensus around the need to regulate AI to protect the ...
20 Mei 2024 · In particular, Bengio et al. primarily address AI developers and users who reasonably might be expected to comply with protective legal and regulatory risk management controls. In contrast, AI risks needing management most urgently would seem to involve malefactors domestically and abroad who might be expected to flout such controls, currently ...
12 Ogo 2023 · On May 31st, 2023, a BBC web page headlined: “AI ‘godfather’ Yoshua Bengio feels ‘lost’ over life’s work.” However, this is a statement I never made, not to the BBC nor to any other media. I did attempt, in these interviews, to articulate a psychological challenge I was contending with. I aim to offer here a more in-depth ...
Yoshua Bengio [1] FRS OC FRSC (nacido en 1964 en París, Francia) es un informático canadiense, más conocido por su trabajo en redes neuronales artificiales y aprendizaje profundo. Fue co-receptor del ACM A.M. de 2018. Premio Turing por su trabajo en aprendizaje profundo. Es profesor en el Departamento de Ciencias de la Computación e Investigación de Operaciones de la Universidad de ...
c 2003 Yoshua Bengio, Réjean Ducharme, Pascal Vincent, Christian Jauvin. BENGIO,DUCHARME,VINCENT ANDJAUVIN mated, and when the number of values that each discrete variable can take is large, most observed objects are almost maximally far from each other in hamming distance.
Yoshua Bengio (Parijs, 5 maart 1964) is een Canadese computerwetenschapper, het meest bekend om zijn werk op het gebied van kunstmatige neurale netwerken en deep learning. Hij is hoogleraar aan het Department of Computer Science and Operations Research aan de Universiteit van Montréal en wetenschappelijk directeur van het Montreal Institute for Learning Algorithms (MILA).
