Why AI Challenges Us To Become More Human Learn why embracing #AI could be the key to unlocking human potential and fostering a future where #technology enhances, not replaces, the essence of #humanity. https://
forbes.com/sites/bernardm
arr/2024/05/06/why-ai-challenges-us-to-become-more-human/
…
RESEARCH
-
AI Challenges Us to Become More Human
By
–
-
DistBelief Legacy: Model and Data Parallelism in Modern Neural Networks
By
–
I'm still a bit surprised that you think the system (DistBelief) that first combined large scale model- and data- parallelism with backprop-based training of very large neural nets is a "dead end", given that nearly every large-scale model that is trained today combines these
-
DistBelief convolutions development shared weights 2012
By
–
We supported shared weights from very early in DistBelief development, and we started adding support for various kinds of convolutions in March of 2012 (because convolutions are a very sensible idea for some things!), and you visited in July, I believe.
-
DistBelief Convolutions Backpropagation Training Before ICML 2012
By
–
DistBelief supported convolutions and end-to-end training with convolutions via backprop before the ICML 2012 paper appeared (even though that particular paper didn't use convolutions).
-
Mapping the Mind: Speech Production Understanding Advances
By
–
Mapping The Mind: Advances In Understanding Speech Production https://
forbes.com/sites/williamh
aseltine/2024/04/08/mapping-the-mind-advances-in-understanding-speech-production/?utm_source=dlvr.it&utm_medium=twitter
… #Innovation #ArtificialIntelligence #MachineLearning -
Matrix Classes and Neural Networks: From BPTT to Modern Frameworks
By
–
In the 90s I had to first implement matrix classes before I could even start coding neural nets – it was awful! I suffered so much with BPTT! Matlab did make things more efficient and was great until Python arrived. Leon Bottou and Yann Lecun pioneered SGD and torch style
-
Python and C++ in Computer Science Education Since 2005
By
–
There is a record. We started using python for teaching in 2008 (
https://
cs.ubc.ca/~nando/340-200
8/index.html
…) but the team was on if from around 2005. Of course, some people still preferred matlab (eg @sirbayes who still loves it ). Our MoE work (PAQ8) around 2008 was all on C++ because of -
Automatic Differentiation Frameworks Revolutionized Machine Learning Development
By
–
To be honest, Geoff still uses Matlab and that is how we got dropout and distillation. I think software frameworks based on automatic differentiation (eg torch) changed the game, but whether it was lua, matlab or python seemed to matter less. Granted I prefer python and indeed my
-
DeepMind scientist advancing mathematics with AI technology
By
–
Alex @SashaVNovikov is by far one of the brightest scientists I know, and his @GoogleDeepMind team is making impactful and fascinating contributions to advancing mathematics with AI. Highly recommend it!
-
AI Pioneer’s Book Available at Discounted Kindle Price
By
–
Some of you can get my book “The Worlds I See: Curiosity, Exploration and Discovery at the Dawn of AI” for $1.99 on Kindle now – it’s a limited promotion!