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Artificial Intelligence

Top news of the week: 24.02.2022.

#BlackHistoryMonth
#GAN
#DeepLearning
#Keras
#TensorFlow

Research

@petewarden shared
On Feb 20, 2022
One voice detector to rule them all: https://t.co/WWS3ocrLIW
Open
One Voice Detector to Rule Them All

One Voice Detector to Rule Them All

VAD is among the most important and fundamental algorithms in any production or data preparation pipelines related to speech

@deliprao shared
On Feb 19, 2022
RT @JmlrOrg: Ever wondered what it takes to keep JMLR running, 20+ years in the game? Here is a brief look at the figures that tell our story (so far): https://t.co/KemkqCfWXy Thanks to our amazing community and cheers to what the future will bring! https://t.co/y2flFPVJei
Open
Retrospectives from 20 Years of JMLR

Retrospectives from 20 Years of JMLR

The managing editors support all users of the submission system (authors, reviewers, and the editorial board) throughout the reviewing process; the webmaster takes care of …

@petewarden shared
On Feb 21, 2022
Non-Max Suppressions, How do they Work? https://t.co/BDB8Cm7aPZ Understanding bounding box outputs from neural networks, with a Colab notebook at https://t.co/oTdYhd5OGQ https://t.co/MjMiotaP3M
Open
Non-Max Suppressions, How do they Work?

Non-Max Suppressions, How do they Work?

I’ve been working with neural networks to do image recognition for almost a decade now, but I have to admit I never really understood the details of how they output things like bounding ...

@lawrennd shared
On Feb 20, 2022
RT @sicss_howard: @sicss_howard 2021 was honored that @timnitGebru, founder of @black_in_ai & @DAIRInstitute, was our inaugural keynote speaker. Get inspired in our 6th @SAGE_Methods blog: https://t.co/0d3N7CEvjd 2022 app is live & due 3/31 (link in bio) #BlackHistoryMonth @HowardU @MathematicaNow
Open
Timnit Gebru, PhD, one of Fortune’s Top 25 Leaders in the world, Delivers Keynote Address for SICSS-Howard/Mathematica 2021

Timnit Gebru, PhD, one of Fortune’s Top 25 Leaders in the world, Delivers Keynote Address for SICSS-Howard/Mathematica 2021

Timnit Gebru, co-founder of Black in AI, advocate for diversity in the field of technology, and Fortune’s Top 50 Leaders in the World in 2021 delivered the keynote address for ...

@fchollet shared
On Feb 21, 2022
RT @PyImageSearch: 📢 A new tutorial from @margaretmz!📢 🔗 https://t.co/FV8kYwP3pD U-Net Image Segmentation in Keras 📷 Understand image segmentation 💪 Build a U-Net architecture from scratch 👷 Implement U-Net and perform semantic image segmentation #TensorFlow #Keras #DeepLearning #GAN https://t.co/0HS49jj60U
Open
U-Net Image Segmentation in Keras

U-Net Image Segmentation in Keras

Implement a U-Net to segment pet images in TensorFlow 2 / Keras.

@WIREDScience shared
On Feb 20, 2022
In computer simulations, researchers have discovered that a neural network can infer the amount of matter in a whole universe by studying just one galaxy. https://t.co/hy6HhUlv4W
Open
Any Single Galaxy Reveals the Composition of an Entire Universe

Any Single Galaxy Reveals the Composition of an Entire Universe

In computer simulations, researchers have discovered that a neural network can infer the amount of matter in a whole universe by studying just one galaxy.

@michael_nielsen shared
On Feb 20, 2022
RT @Si_Boehm: If you've never heard of Anki or thought of it as purely a language learning tool, this essay by @michael_nielsen started the journey for me: https://t.co/bH7vy3pCcd I've recommended it to almost all of my friends by now.
Open
Augmenting Long-term Memory

Augmenting Long-term Memory

Also in this second part, we'll discuss the role of cognitive science in building personal memory systems and, more generally, in building systems to augment human cognition. A …

@peteskomoroch shared
On Feb 17, 2022
RT @EdgeImpulse: New advances in ML modeling and processing hold the key to widespread adoption of smart cameras. https://t.co/IcMvesJnE4
Open
How to deliver ultra-low power ML for more effective embedded vision

How to deliver ultra-low power ML for more effective embedded vision

New advances in ML modeling and processing hold the key to widespread adoption of smart cameras.

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