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Computational neuroscience, Neural network, Connectionism, Brain, Artificial neural network, Artificial intelligence

Can robots write? Machine learning produces dazzling results, but some assembly is still required

Le Sep 21, 2020
@Nicochan33 a partagé
RT @Fabriziobustama: Can #Robots write? #Machinelearning produces dazzling results, but some assembly is still required By @SwissCognitive https://t.co/kPR4AyrSmY #AI #Robotics #Neuralnetworks #ArtificialIntelligence Cc: @HeinzVHoenen @sallyeaves @mvollmer1 @andi_staub @darioandriani @Nicochan33 https://t.co/iHIo5yClfA
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How exactly was the article if GPT-3 created? And is it really true that software “wrote this entire article”?  Copyright by www.theconversation.com You …

swisscognitive.ch
Le Sep 21, 2020
@Nicochan33 a partagé
RT @Fabriziobustama: Can #Robots write? #Machinelearning produces dazzling results, but some assembly is still required By @SwissCognitive https://t.co/kPR4AyrSmY #AI #Robotics #Neuralnetworks #ArtificialIntelligence Cc: @HeinzVHoenen @sallyeaves @mvollmer1 @andi_staub @darioandriani @Nicochan33 https://t.co/iHIo5yClfA
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Can robots write? Machine learning produces dazzling results, but some assembly is still required

Can robots write? Machine learning produces dazzling results, but some assembly is still required

How exactly was the article if GPT-3 created? And is it really true that software “wrote this entire article”?  Copyright by www.theconversation.com You …

Can robots write? Machine learning produces dazzling results, but some assembly is still required

Can robots write? Machine learning produces dazzling results, but some assembly is still required

Text generators like GPT-3 can produce remarkably convincing writing, but they can't do away with human supervision just yet.

Critique of Honda Prize for Dr. Hinton

Critique of Honda Prize for Dr. Hinton

A. Rusu, J. Veness, M. G. Bellemare, A. Graves, M. Riedmiller, A. K. Fidjeland, G. Ostrovski, S. Petersen, C. Beattie, A. Sadik, I. Antonoglou, H. King, D. Kumaran, D. Wierstra, S. Legg, D. ...

Machine Learning for Everyone

Machine Learning for Everyone

In simple words. With real-world examples. Yes, again

Deep Learning – Deep Convolutional Generative Adversarial Networks Basics

Deep Learning – Deep Convolutional Generative Adversarial Networks Basics

Deep Convolutional Generative Adversarial Networks- Sir. Yann LeCun, Facebook’s AI research director made a very intuitive and interesting comment about GANs “Adversarial training “The most…

Transcript of the AI Debate

Transcript of the AI Debate

DEBATE : Yoshua Bengio | Gary Marcus

An AI privacy conundrum? The neural net knows more than it says

An AI privacy conundrum? The neural net knows more than it says

What is output by a neural network, such as an image classifier, is only a small portion of what the network in a sense "knows" about the data. And the prospect that the network is ...

Artificial neural networks are more similar to the brain than they get credit for

Artificial neural networks are more similar to the brain than they get credit for

Deep neural networks are much closer to the human brain than is popularly believed, researchers at Princeton University argue.

Developing Innovation: Neural Network and Deep Learning

Developing Innovation: Neural Network and Deep Learning

Organizations keep on the struggle to apply Artificial Intelligence to real-world business problems. Likewise, neural networks and deep learning advancements - rather than the more ...

Researchers developed algorithms that mimic the human brain (and the results don’t suck)

Researchers developed algorithms that mimic the human brain (and the results don’t suck)

Researchers are kicking it old school with new biologically-feasible algorithms that appear to be able to hold their own with today's modern techniques.

Here's How AI and Neuroscience Can Help Each Other

Here's How AI and Neuroscience Can Help Each Other

Despite their names, artificial intelligence technologies and their component systems, such as artificial neural networks, don't have much to do with real ...

Artificial Intelligence (AI) vs. Machine Learning vs. Deep Learning

Artificial Intelligence (AI) vs. Machine Learning vs. Deep Learning

The differences between Artificial Intelligence, Machine Learning, and Deep Learning.

Neuroscience and artificial intelligence can help improve each other

Neuroscience and artificial intelligence can help improve each other

Despite their names, artificial intelligence technologies and their component systems, such as artificial neural networks, don't have much to do with real brain science. I'm a professor of ...

Solving AI's 'black box' problem: Learning how algorithms make decisions

Solving AI's 'black box' problem: Learning how algorithms make decisions

We're getting better at shining a light into the black box.

Best of arXiv.org for AI, Machine Learning, and Deep Learning – July 2019

Best of arXiv.org for AI, Machine Learning, and Deep Learning – July 2019

In this recurring monthly feature, we will filter all the recent research papers appearing in the arXiv.org preprint server for subjects relating to AI, machine learning and deep learning – ...

Autograd: The Best Machine Learning Library You’re Not Using?

Autograd: The Best Machine Learning Library You’re Not Using?

If there is a Python library that is emblematic of the simplicity, flexibility, and utility of differentiable programming it has to be Autograd.

Awesome Deep Learning Resources

Awesome Deep Learning Resources

Contribute to souravstat/Curated-Resources development by creating an account on GitHub.

Learning How AI Makes Decisions

Learning How AI Makes Decisions

Unlike with traditional software, we don't always have an exact idea of how AI works. And in numerous scenarios, the opacity of deep-learning algorithms has caused larger troubles.