Research

Monthly report: October 2020

This month, The Essentials Report, has curated & analyzed the content published by 150 influencers like WIRED Science and Shakir Mohamed, discussing hashtags such as #AI , #NeurIPS2020 and #computervision.
Read our monthly report or learn more about Essentials.

Trending Topics

What matters to our readers VS what matters to the rest of the world in October 2020

Global Discussions Across the Web
Topics discussed by the influencers
circles
Popular with our readers

Top Hashtags & Sources

Hashtags our readers care about

Top Mentioned Sources

Best articles in October 2020

PhD position in Machine Learning for Natural Language Processing

On Oct 15, 2020
@kchonyc shared
RT @vnfrombucharest: ⚠I am recruiting for a PhD position in ML for NLP⚠ Apply by Nov 19 here: https://t.co/en8idArRa9 Extra context on my website: https://t.co/eeTF9UYk01. DM or email if you have any questions.
Open

PhD position in Machine Learning for Natural Language Processing

ivi.uva.nl
On Oct 15, 2020
@kchonyc shared
RT @vnfrombucharest: ⚠I am recruiting for a PhD position in ML for NLP⚠ Apply by Nov 19 here: https://t.co/en8idArRa9 Extra context on my website: https://t.co/eeTF9UYk01. DM or email if you have any questions.
Open

PhD position in Machine Learning for Natural Language Processing

PhD position in Machine Learning for Natural Language Processing

PhD position in Machine Learning for Natural Language Processing

Artificial Intelligence and the Common Sense of Animals

On Oct 12, 2020
@DeepMind shared
How much can AI researchers learn from the field of animal cognition? Find out in a new @CellPressNews (Trends in Cognitive Sciences) paper: https://t.co/4v84d7v6aV Work by @mpshanahan & @BenBeyret, along with @MaCroPhilosophy of @imperialcollege & @LucyCheke of @Cambridge_Uni.
Open

The problem of common sense remains a major obstacle to progress in artificial intelligence. Here, we argue that common sense in humans is founded on …

www.sciencedirect.com
On Oct 12, 2020
@DeepMind shared
How much can AI researchers learn from the field of animal cognition? Find out in a new @CellPressNews (Trends in Cognitive Sciences) paper: https://t.co/4v84d7v6aV Work by @mpshanahan & @BenBeyret, along with @MaCroPhilosophy of @imperialcollege & @LucyCheke of @Cambridge_Uni.
Open

Artificial Intelligence and the Common Sense of Animals

Artificial Intelligence and the Common Sense of Animals

The problem of common sense remains a major obstacle to progress in artificial intelligence. Here, we argue that common sense in humans is founded on …

Tom White is a New Zealand based artist investigating how machines see the world.

On Oct 5, 2020
@dribnet shared
RT @CSProfKGD: Excited to finally hang these awesome #AI @dribnet creations in my home office 😍 Intro to Tom’s #AIart https://t.co/eJYegZRaL2 Thank you to my former MSc @mtesfald for the amazing gift!!! https://t.co/glRRDEncTs
Open

Collaborating with AI systems, White creates physical abstract prints that are reliably classified by neural networks. Selected AI projects by Tom White: White on using artificial intelligence: “My work focuses on how machines see the world. I have created a drawing system that allows ...

aiartists.org
On Oct 5, 2020
@dribnet shared
RT @CSProfKGD: Excited to finally hang these awesome #AI @dribnet creations in my home office 😍 Intro to Tom’s #AIart https://t.co/eJYegZRaL2 Thank you to my former MSc @mtesfald for the amazing gift!!! https://t.co/glRRDEncTs
Open

Tom White is a New Zealand based artist investigating how machines see the world.

Tom White is a New Zealand based artist investigating how machines see the world.

Collaborating with AI systems, White creates physical abstract prints that are reliably classified by neural networks. Selected AI projects by Tom White: White on using artificial ...

Efficient and tight neural network verification in JAX

On Oct 31, 2020
@NandoDF shared
RT @DeepMind: Excited to share #NeurIPS2020 papers on efficient and tight neural network verification, based on efficient solvers for LP and SDP relaxations. Implementations of these in JAX are also available as part of the new jax_verify library, described here: https://t.co/wh9fgit7w7 https://t.co/PTRpNhP898
Open

Neural network verification is a powerful technology, offering the promise of provable guarantees on networks satisfying desirable input-output properties or specifications.

deepmind.com
On Oct 31, 2020
@NandoDF shared
RT @DeepMind: Excited to share #NeurIPS2020 papers on efficient and tight neural network verification, based on efficient solvers for LP and SDP relaxations. Implementations of these in JAX are also available as part of the new jax_verify library, described here: https://t.co/wh9fgit7w7 https://t.co/PTRpNhP898
Open

Efficient and tight neural network verification in JAX

Efficient and tight neural network verification in JAX

Neural network verification is a powerful technology, offering the promise of provable guarantees on networks satisfying desirable input-output properties or specifications.

The Next Generation Of Artificial Intelligence

On Oct 13, 2020
@NandoDF shared
The Next Generation Of Artificial Intelligence: on self-supervised learning, federated learning and transformers https://t.co/NwCubzJcn8
Open

Five years from now, the field of AI will look very different than it does today.

www.forbes.com
On Oct 13, 2020
@NandoDF shared
The Next Generation Of Artificial Intelligence: on self-supervised learning, federated learning and transformers https://t.co/NwCubzJcn8
Open

The Next Generation Of Artificial Intelligence

The Next Generation Of Artificial Intelligence

Five years from now, the field of AI will look very different than it does today.

A radical new technique lets AI learn with practically no data

On Oct 17, 2020
@peteskomoroch shared
RT @xamat: "Less than one-shot learning" https://t.co/w0ci6OrQV7
Open

“Less than one”-shot learning can teach a model to identify more objects than the number of examples it is trained on.

www.technologyreview.com
On Oct 17, 2020
@peteskomoroch shared
RT @xamat: "Less than one-shot learning" https://t.co/w0ci6OrQV7
Open

A radical new technique lets AI learn with practically no data

A radical new technique lets AI learn with practically no data

“Less than one”-shot learning can teach a model to identify more objects than the number of examples it is trained on.

Too many AI researchers think real-world problems are not relevant

On Oct 20, 2020
@NandoDF shared
RT @suchisaria: AI/ML tweeps, here is a must read. It’s a wonderful article questioning whether we are spending our valuable brain cycles on the right research questions. If you disagree, I’d love to hear why. If you agree, what can be done to accelerate this? https://t.co/NO7TSubCex
Open

Any researcher who’s focused on applying machine learning to real-world problems has likely received a response like this one: “The authors present a solution for an original and highly motivating problem, but it is an application and the significance seems limited for the ...

www.technologyreview.com
On Oct 20, 2020
@NandoDF shared
RT @suchisaria: AI/ML tweeps, here is a must read. It’s a wonderful article questioning whether we are spending our valuable brain cycles on the right research questions. If you disagree, I’d love to hear why. If you agree, what can be done to accelerate this? https://t.co/NO7TSubCex
Open

Too many AI researchers think real-world problems are not relevant

Too many AI researchers think real-world problems are not relevant

Any researcher who’s focused on applying machine learning to real-world problems has likely received a response like this one: “The authors present a solution for an original and highly ...

AI Is Throwing Battery Development Into Overdrive

On Oct 12, 2020
@glouppe shared
RT @WIREDScience: Improving batteries has always been hampered by slow experimentation and discovery processes. Machine learning is speeding it up by orders of magnitude. https://t.co/jNbThov7dE
Open

Improving batteries has always been hampered by slow experimentation and discovery processes. Machine learning is speeding it up by orders of magnitude.

www.wired.com
On Oct 12, 2020
@glouppe shared
RT @WIREDScience: Improving batteries has always been hampered by slow experimentation and discovery processes. Machine learning is speeding it up by orders of magnitude. https://t.co/jNbThov7dE
Open

AI Is Throwing Battery Development Into Overdrive

AI Is Throwing Battery Development Into Overdrive

Improving batteries has always been hampered by slow experimentation and discovery processes. Machine learning is speeding it up by orders of magnitude.

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