Meta Chief AI Scientist Yann LeCun is blasting fellow AI luminaries for overselling AI's existential threat and asking for regulation (Ai Business, 10/2023) Why Meta’s Yann LeCun isn’t buying the AI doomer narrative (FastCompany, 05/2023)

Happy hacking. The digit images in the MNIST set were originally selected and experimented with by Chris Burges and Corinna Cortes using bounding-box normalization and centering. Yann LeCun's version which is provided on this page uses centering by center of mass within in a larger window. Yann LeCun, Professor

The Robot Brains Podcast with Pieter Abbeel, 09/2021 YouTube "Yann LeCun explains why Facebook would crumble without AI" The Gradient Podcast, 08/2021 The Gradient "Yann LeCun on his Start in Research and Self-Supervised Learning"

The band I played with in high school and college (1975 to 1983) was called Ensemble de Musique Ancienne de Bury, and composed of 12 amateur musicians, many of whom are now professional musician: Jean-Jacques Dubayle (band leader, recorders, krumhorns, harpsichord), Christophe Aubry (violin), Philippe Baudin (recorders), Antoine Courtecuisse ...

The important lesson is that Hardware capabilities and software tools both motivate and limit the type of ideas that AI researchers will imagine and will allow themselves to pursue.

Yoshua Bengio and Yann LeCun: Scaling learning algorithms towards AI, in Bottou, L. and Chapelle, O. and DeCoste, D. and Weston, J. (Eds), Large-Scale Kernel Machines

Director of AI Research, Facebook Founding Director of the NYU Center for Data Science Silver Professor of Computer Science, Neural Science, and Electrical and Computer Engineering,

Yoshua Bengio (1) and Yann LeCun (2) [email protected] D ́epartement d’Informatique et Recherche Op ́erationnelle Universit ́e de Montr ́eal,

Yann LeCun, VP and Chief AI Scientist, Facebook Silver Professor of Computer Science, Data Science, Neural Science, and Electrical and Computer Engineering, New York University.

Yann LeCun to be reconstructed. For example in clustering meth-ods such as K-Means, the code is the index of the prototype in the codebook that is closest to the data vector. Similarly in Principal Component Analysis, the code is the projection of the data vector on a lin-ear subspace.