Top news of the week: 10.09.2020.

Intelligence, Learning, Psychology, Artificial intelligence, Folk music, Differential calculus

Research

On Sep 10, 2020
@OriolVinyalsML shared
Interested in a PhD in ML? Applications are open to *anyone* wishing to pursue a PhD in ML within ELLIS. Excited to be working with many talented students! Portal opens: Oct 1st Deadline: Dec 1st Ping me for advice along the process! https://t.co/0i1kmjJ3Rq
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ELLIS PhD Program: Call for Applications

ELLIS PhD Program: Call for Applications

The ELLIS mission is to create a diverse European network that promotes research excellence and advances breakthroughs in AI, as well as a pan-European PhD program to educate the next ...

On Sep 9, 2020
@shakir_za shared
RT @ResistanceAI: Announcing the Resistance AI Workshop at NeurIPS 2020! We aim to connect many different perspectives and types of work addressing inequities in how power is distributed with emerging AI technologies. https://t.co/knOamQOFZ7 1/2
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The goal of the Resistance AI Workshop is to examine how AI shifts power and

The goal of the Resistance AI Workshop is to examine how AI shifts power and

Resistance AI exposes the root problem of AI to be how technology is used to rearrange power in the world. AI researchers engaged in Resistance AI both resist AI that centralizes …

On Sep 6, 2020
@jeremyphoward shared
In a recent podcast with @weights_biases, I expressed my enthusiasm for Julia as a language, but also my concern that it may be overly reliant on unsustainable venture capital financing. That may not be a fair concern. 1/ https://t.co/Z1EpTtUqlH
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The story of Fast.ai & why Python is not the future of ML with Jeremy Howard

The story of Fast.ai & why Python is not the future of ML with Jeremy Howard

Jeremy shares his experiences in learning, teaching, developing, and making deep learning more accessible.

On Sep 9, 2020
@DeepMind shared
RT @NYUDataScience: Meet PhD student Boyang Yu, who is one of three DeepMind Fellows at CDS this academic year, 2020-2021. Check out our blog to learn more about Boyang’s background and research interests as well as her hobbies outside of academics. https://t.co/kUNBbhjZ57
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DeepMind Fellow Profile: Boyang Yu

DeepMind Fellow Profile: Boyang Yu

Meet Boyang Yu, a PhD CDS student who is one of three DeepMind Fellows this academic year, 2020–2021.

On Sep 9, 2020
@DeepMind shared
RT @NYUDataScience: Meet PhD student Lily Zhang who is one of three DeepMind Fellows this academic year at CDS! “It’s an honor to be awarded the DeepMind Fellowship, and I’m especially excited to be joining such a vibrant, interdisciplinary community at CDS.” https://t.co/Nw9f2SXLCM
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DeepMind Fellow Profile: Lily Zhang

DeepMind Fellow Profile: Lily Zhang

Meet Lily Zhang, a PhD CDS student who is one of three DeepMind Fellows this academic year, 2020–2021.

On Sep 4, 2020
@xamat shared
No better way to learn #MachineLearning than by building stuff. We have added quite a few ML Live Projects now such as "Art Style Transfer Using GANs" (https://t.co/q932KQRUHA) or "3D Medical Image Analysis with PyTorch" https://t.co/V6nJpOxkOQ - Feedback appreciated!
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3D Medical Image Analysis with PyTorch

3D Medical Image Analysis with PyTorch

In this liveProject, you’ll take on the role of a machine learning engineer at a healthcare imaging company, processing and analyzing magnetic resonance (MR) brain images. Your current ...

On Sep 9, 2020
@MSFTResearch shared
The MosAIc algorithm explores hidden connections between art of different cultures and media. MosAIc project sponsor @mhamilton723, a Research Engineer pursuing a PhD at @MIT, shares his inspiration for the app and how it identifies similar works of art: https://t.co/iGgT7gxKkU
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AI visits the art museum: Algorithm finds connections among the collections

AI visits the art museum: Algorithm finds connections among the collections

The art world may not be the first business sector that comes to mind when you think about applications of AI, but a new algorithm developed by Microsoft and MIT is proving to be quite the ...

On Sep 7, 2020
@glouppe shared
RT @BachFrancis: Integration by parts rules again this month! A single equation with diverse applications to randomized smoothing, differentiable perturbed optimizers, and score functions. https://t.co/mDxDIZe2PL
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The many faces of integration by parts – II : Randomized smoothing and score functions

The many faces of integration by parts – II : Randomized smoothing and score functions

After a short review on integration by parts and its applications to score functions, I will present four quite diverse applications, to (1) optimization and randomized smoothing, …