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The Emergence of Machine Learning as a Rupture Technology for Artificial Intelligence

The Emergence of Machine Learning as a Rupture Technology for Artificial Intelligence
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James Crowley , Institut Polytechnique , Generative Adversarial Networks , Rupture Technology For Artificial Intelligence , Machine Learning , Rupture Technology , Artificial Intelligence , Deep Reinforcement ,

To Understand Language is to Understand Generalization

In my essay “Just ask for Generalization”, I argued that some optimization capabilities, such as reinforcement learning from sub-optimal trajectories, might be better implemented by generalization than by construction. We have to generalize to unseen situations at deployment time anyway, so why not focus on generalization capability as the first class citizen, and then “just ask for optimality” as an unseen case? A corollary to this design philosophy is that we should discard inductive biases that introduce optimization bottlenecks for “the data sponge”: if an inductive bias turns out to be merely “data in disguise”, it may not only cease to provide a benefit in the high data regime, but actually hinder the model on examples where the inductive bias no longer applies. ....

Gary Marcus , A Survey Of Generalization , Deep Reinforcement , Fuzzy Concepts , Pretrained Transformers , Universal Computation Engines , Zero Shot Task Generalization , Robotic Imitation Learning , Universal Computation Engine , Next Decade ,

Critique of 2018 Turing Award for Drs. Bengio & Hinton & LeCun


Conclusion (~1,700 words).
All backed up by over 200 references (~6,500 words).
We must stop crediting the wrong people for inventions made by others.
Instead let s heed the recent call in the journal
Nature:
Let 2020 be the year in which we value those who ensure that
science is self-correcting [SV20].
Like those who know me can testify, finding and citing original sources of scientific and technological innovations is important to me, whether they are mine or other people s [DL1][DL2][HIN][NASC1-9]. The present page is offered as a resource for computer scientists who share this inclination.
By grounding research in its true intellectual foundations and crediting the original inventors, ....

United States , Holland Library , New York , United Kingdom , British Columbia , Mountain View , San Diego , San Francisco , World University , Noord Holland , Andhra Pradesh , Baden Wüberg , Eteläuomen Läi , Brighton And Hove , University Of Colorado At Boulder , City Of , Comunidad Autonoma De Cataluna , Long Beach , Systemei Monatshefte , Technische Universit , Ivakhnenko Lapa , Sherrington Kirkpatrick , Terrence Sejnowski , Birkhaeuser Basel , Principia Mathematica , Konrad Zuse ,