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Monthly report: October 2019
This month, The Essentials Report, has curated & analyzed the content published by 192 influencers like Nando de Freitas and hardmaru, discussing hashtags such as #AI , #MachineLearning and #EMNLP2019.
Read our monthly report or learn more about Essentials.
What matters to our readers VS what matters to the rest of the world in October 2019
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Best articles in October 2019
Using Old Cellphones to Listen for Illegal Loggers
Indonesian villagers are trying out a treetop surveillance system that uses recycled phones and artificial intelligence software to detect chain saws.
Using Old Cellphones to Listen for Illegal Loggers
Indonesian villagers are trying out a treetop surveillance system that uses recycled phones and artificial intelligence software to detect chain saws.
Not Cool Ep 16: Tackling Climate Change with Machine Learning, part 1
David Rolnick, Priya Donti, Lynn Kaack, and Kelly Kochanski, co-authors of “Tackling Climate Change with Machine Learning,” discuss the ambitious report.
Not Cool Ep 16: Tackling Climate Change with Machine Learning, part 1
David Rolnick, Priya Donti, Lynn Kaack, and Kelly Kochanski, co-authors of “Tackling Climate Change with Machine Learning,” discuss the ambitious report.
Why Terminator: Dark Fate is sending a shudder through AI labs
There are genuine risks associated with AI - but the Terminator scenario isn't one of them.
Why Terminator: Dark Fate is sending a shudder through AI labs
There are genuine risks associated with AI - but the Terminator scenario isn't one of them.
Digital dystopia: how algorithms punish the poor
In an exclusive global series, the Guardian lays bare the tech revolution transforming the welfare system worldwide – while penalising the most vulnerable
Digital dystopia: how algorithms punish the poor
In an exclusive global series, the Guardian lays bare the tech revolution transforming the welfare system worldwide – while penalising the most vulnerable
Ultra-Wide Deep Nets and the Neural Tangent Kernel (NTK)
Traditional wisdom in machine learning holds that there is a careful trade-off between training error and generalization gap. There is a "sweet spot" for the model complexity such that the model (i) is big enough to achieve reasonably good training error, and (ii) is small enough so that ...
Ultra-Wide Deep Nets and the Neural Tangent Kernel (NTK)
Traditional wisdom in machine learning holds that there is a careful trade-off between training error and generalization gap. There is a "sweet spot" for the model complexity such that the ...
AI is making literary leaps – now we need the rules to catch up
A row over the release of a new language-learning model highlights how ethics and the law are lagging behind
AI is making literary leaps – now we need the rules to catch up
A row over the release of a new language-learning model highlights how ethics and the law are lagging behind
PyTorch 1.3 comes with speed gains from quantization and TPU support
The latest version of Facebook's open source deep learning library PyTorch comes with quantization, named tensors, and Google Cloud TPU support.
PyTorch 1.3 comes with speed gains from quantization and TPU support
The latest version of Facebook's open source deep learning library PyTorch comes with quantization, named tensors, and Google Cloud TPU support.
This Technique Can Make It Easier for AI to Understand Videos
A staggering amount of video is shared online. Researchers are teaching artificial intelligence to process more—while using less power.
This Technique Can Make It Easier for AI to Understand Videos
A staggering amount of video is shared online. Researchers are teaching artificial intelligence to process more—while using less power.
