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Research

Discover how AI, Machine Learning and advanced algorithms impact our lives, our jobs and the economy thanks to expert articles that include discussion on the potential, limits and consequences of AI

Top news of the week: 02.03.2021.

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Research

@AndrewYNg shared
On Mar 1, 2021
RT @Berci: 1/3 Check out this simple visual on the deployment of A.I. in healthcare: This is exactly why I’m subscribed to ‘The Batch’, the newsletter of https://t.co/AhiicXtfqa! This visual truly helps us understand the transformation from human to A.I. in procedures.
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Break Into AI

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Whether you want to build algorithms or build a company, deeplearning.ai’s courses will teach you key concepts and applications of AI.

@mat_kelcey shared
On Mar 1, 2021
"using a genetic algorithm to evolve not only which channels to use for a multispectral classifier but also what resolution to use for each" a blog post and a mini thread.....  https://t.co/G1OwSXTQtH  1/8 https://t.co/sBOjEarZcR
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brain of mat kelcey...

brain of mat kelcey...

the simple model shown below trained on a 'training' split with adam hits 0.942 top 1 accuracy on a 2nd 'validation' split in 5 epochs. we'll evolve the GA using the network …

@ylecun shared
On Feb 26, 2021
RT @PyTorch: PyTorch3D added new features, including multiple ray sampling implementations, a new volumes data structure, and more. Learn more: https://t.co/u9TSX8C7GF https://t.co/fFKX2lrFUv
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Rendering Volumes and Implicit Shapes in PyTorch3D

Rendering Volumes and Implicit Shapes in PyTorch3D

A suite of new features have been released to support implicit functions and volumetric rendering.

@karpathy shared
On Feb 25, 2021
RT @paperswithcode: ⚡️ Efficient Vision Models are Trending! ⚡️ This week’s newsletter highlights progress in building efficient vision models, adopting Transformers to challenging domains like GANs, recent papers, and more! Read on below: https://t.co/UeifYYvhQO https://t.co/Xibi3nLDD2
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Papers with Code Newsletter #5

Papers with Code Newsletter #5

Papers With Code highlights trending Machine Learning research and the code to implement it.

@jure shared
On Mar 2, 2021
RT @StanfordHAI: A great medical mystery is how different demographics experience pain. Stanford CS professor @jure is using AI to more accurately measure pain and diagnose accordingly. https://t.co/zjkIbDFaN6
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A Better Measuring Stick: Algorithmic Approach to Pain Diagnosis Could Eliminate Racial Bias

A Better Measuring Stick: Algorithmic Approach to Pain Diagnosis Could Eliminate Racial Bias

Traditional approaches to pain management don’t treat all patients the same. AI could level the playing field.

@shakir_za shared
On Mar 1, 2021
RT @siminyu_kat: I spoke with @Melissahei of @POLITICOEurope about some AI projects I'm excited about and the importance of proper policy and regulation in Africa. Check out that full issue here --> https://t.co/HqUxkZIunt https://t.co/WIfNSVKNFU
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POLITICO AI: Decoded: Africa calling — Google’s AI HR troubles continue — Facebook’s foray into academia

POLITICO AI: Decoded: Africa calling — Google’s AI HR troubles continue — Facebook’s foray into academia

How global thinking on AI is shaping the world, from Berlin, Brussels, London and beyond. POLITICO’s AI correspondent cuts through the noise, introduces you to the key decision-makers ...

@alexjc shared
On Feb 25, 2021
211 people recruited on Amazon Mechanical Turk struggled to distinguish 5 artworks made by humans with different levels of involvement from a software algorithm. Writer: Under what headline should we run this? Editor: Wait, I know! https://t.co/Gcpe6NEAES
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Most People Can’t Tell the Difference Between Art Made by Humans and by AI, a Rather Concerning New Study Says

Most People Can’t Tell the Difference Between Art Made by Humans and by AI, a Rather Concerning New Study Says

A new study suggests that humans largely can't tell the difference between human-made and machine-made art.

@petewarden shared
On Feb 28, 2021
How screen scraping and #tinyML can turn any dial into an API: https://t.co/jPVyemg5kS
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How screen scraping and TinyML can turn any dial into an API

How screen scraping and TinyML can turn any dial into an API

This image shows a traditional water meter that’s been converted into a web API, using a cheap ESP32 camera and machine learning to understand the dials and numbers. I expect there are ...