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Geoffrey Hinton, one of the pioneers of AI, believes that deep learning will be enough to reproduce all human intelligence
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Amine Moulay Ramdane
Nov 4, 2020, 2:40:10 PM11/4/20
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Hello..
Geoffrey Hinton, one of the pioneers of AI, believes that deep learning will be enough to reproduce all human intelligence:
"I believe that deep learning will be able to do everything"
Read more here:
https://translate.google.com/translate?hl=en&sl=auto&tl=en&u=https%3A%2F%2Fintelligence-artificielle.developpez.com%2Factu%2F310160%2FGeoffrey-Hinton-l-un-des-pionniers-de-l-IA-pense-que-le-deep-learning-suffira-a-reproduire-toute-l-intelligence-humaine-je-crois-que-l-apprentissage-en-profondeur-va-pouvoir-tout-faire%2F
And read the following:
At a major AI research conference, one researcher laid out how existing AI techniques might be used to analyze causal relationships in data.
Read more here:
https://www.technologyreview.com/2019/05/08/135454/deep-learning-could-reveal-why-the-world-works-the-way-it-does/
And read the following:
Machine learning with less than one example
A math idea that may dramatically reduce the dataset size needed to train AI systems
MNIST is a database of images of handwritten digits often used in training and testing machine learning models. Sucholutsky and his colleague Matthias Schonlau managed to achieve above-90 percent accuracy on MNIST with just five synthetic examples on the convolutional neural network LeNet.
“That result really surprised me, and it’s what got me thinking more broadly about this LO-shot learning setting,” Sucholutsky said.
Read more here:
https://bdtechtalks.com/2020/10/01/less-than-one-shot-machine-learning/
Thank you,
Amine Moulay Ramdane.
Geoffrey Hinton, one of the pioneers of AI, believes that deep learning will be enough to reproduce all human intelligence:
"I believe that deep learning will be able to do everything"
Read more here:
https://translate.google.com/translate?hl=en&sl=auto&tl=en&u=https%3A%2F%2Fintelligence-artificielle.developpez.com%2Factu%2F310160%2FGeoffrey-Hinton-l-un-des-pionniers-de-l-IA-pense-que-le-deep-learning-suffira-a-reproduire-toute-l-intelligence-humaine-je-crois-que-l-apprentissage-en-profondeur-va-pouvoir-tout-faire%2F
And read the following:
At a major AI research conference, one researcher laid out how existing AI techniques might be used to analyze causal relationships in data.
Read more here:
https://www.technologyreview.com/2019/05/08/135454/deep-learning-could-reveal-why-the-world-works-the-way-it-does/
And read the following:
Machine learning with less than one example
A math idea that may dramatically reduce the dataset size needed to train AI systems
MNIST is a database of images of handwritten digits often used in training and testing machine learning models. Sucholutsky and his colleague Matthias Schonlau managed to achieve above-90 percent accuracy on MNIST with just five synthetic examples on the convolutional neural network LeNet.
“That result really surprised me, and it’s what got me thinking more broadly about this LO-shot learning setting,” Sucholutsky said.
Read more here:
https://bdtechtalks.com/2020/10/01/less-than-one-shot-machine-learning/
Thank you,
Amine Moulay Ramdane.
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