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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, ....

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How a Team from MIT is Using an AI Tool to Detect Melanoma

How a Team from MIT is Using an AI Tool to Detect Melanoma
Thought LeadersLuis R. Soenksen Ph.D.Research Scientist and Venture Builder
Massachusetts Institute of Technology
AZoRobotics speaks with Luis R. Soenksen, entrepreneur and medical device expert, currently acting as MIT s first Venture Builder in Artificial Intelligence and Healthcare. Luis was part of a team that has developed a system that uses neural networks to spot ugly duckling pre-cancerous lesions on a patient s skin, helping to detect melanoma more efficiently.
Can you give our readers a summary of your recent research? What were the main aims of the research? ....

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Nvidia GPU Technology Conference Brings Out The AI All Stars

Nvidia GPU Technology Conference Brings Out The AI All Stars
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Predictive Coding has been Unified with Backpropagation

LESSWRONG
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Artificial Neural Networks (ANNs) are based around the backpropagation algorithm. The backpropagation algorithm allows you to perform gradient descent on a network of neurons. When we feed training data through an ANNs, we use the backpropagation algorithm to tell us how the weights should change.
ANNs are good at inference problems. Biological Neural Networks (BNNs) are good at inference too. ANNs are built out of neurons. BNNs are built out of neurons too. It makes intuitive sense that ANNs and BNNs might be running similar algorithms.
There is just one problem: BNNs are physically incapable of running the backpropagation algorithm. ....

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2021 Premium Python Certification Bootcamp Bundle Is Up For A Massive Offer This Week

2021 Premium Python Certification Bootcamp Bundle Is Up For A Massive Offer This Week
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