Top news of the week: 09.04.2020.

#AI #S4TF #AIstrategy #BigData #DataScience #DeepLearning #MachineLearning #AIOps #containers

Research

On Apr 3, 2020
@dennybritz shared
Swift: Google’s bet on differentiable programming - the state 2 years later https://t.co/0bvPTXOLVY
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Swift: Google’s bet on differentiable programming

Swift: Google’s bet on differentiable programming

Google's plans on making Swift the first mainstream language with first-class language-integrated differentiable programming capabilities. What's so cool about Swift?

On Apr 3, 2020
@weballergy shared
RT @Waymo: Our newest research in collaboration with our @googleAI colleagues will allow us to train better machine learning models with less data and improve perception tasks for the Waymo Driver. https://t.co/vUdo5wbcN4 https://t.co/WvdkbhdOLs
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Using automated data augmentation to advance our Waymo Driver

Using automated data augmentation to advance our Waymo Driver

Applying methods proven at Google to Waymo’s self-driving tasks In collaboration with our Google Research colleagues from the Brain team, we’re extending this research to …

On Apr 7, 2020
@clmt shared
RT @rapidsai: RAPIDS 0.13 release is all systems go. The Great libcudf++ port is complete, @XGBoostProject 1.0 integrated, cuDF/cuGraph much faster, cuML adds new multi-node algos, cuSignal is official, and much more from the @rapidsai community. Read it all here - https://t.co/56SMD5VFQI
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RAPIDS 0.13: Ready To Launch!

RAPIDS 0.13: Ready To Launch!

All Systems Go! RAPIDS Release 0.13 adds a massive list of new features and improvements across all core libraries.

On Apr 7, 2020
@peteskomoroch shared
RT @KirkDBorne: What you need to know about Product Management for #AI: https://t.co/CikTHdUG5O by @peteskomoroch and @mikeloukides via @OReillyMedia HT @DataElixir ————— #BigData #DataScience #MachineLearning #DeepLearning #AIstrategy #AIOps ————— Graphic by @mrogati at https://t.co/jbcKp5qNtW https://t.co/2hWqhbPiqN
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The AI Hierarchy of Needs

The AI Hierarchy of Needs

But the most common scenario is that they have not yet built the infrastructure to implement (and reap the benefits of) the most basic data science algorithms and operations, much …

On Apr 3, 2020
@mxlearn shared
[D] Research trends on infinitely deep neural architectures https://t.co/ylk07NaOrI
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[D] Research trends on infinitely deep neural architectures

[D] Research trends on infinitely deep neural architectures

Posted in r/MachineLearning by u/massastrello • 2 points and 1 comment

On Apr 6, 2020
@dnouri shared
Starting in one hour: Berlin Machine Learning Group's first virtual meetup. Topics: Classifying News, Image Duplicates, and Explainable AI. Join here at 7pm CEST: https://t.co/rgwMDy93AZ
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Berlin ML Meetup: Classifying News, Image Duplicates, and Explainable AI

Berlin ML Meetup: Classifying News, Image Duplicates, and Explainable AI

This is a special live telecast of first ever remote Berlin Machine Learning Meetup. Visit us at: https://www.meetup.com/berlin-machine-learning ------------...

On Apr 8, 2020
@NVIDIADC shared
RT @NVIDIAAIDev: The new NGC private registry provides a secure space to store, version, and share custom #containers, models, model scripts, and Helm charts within your organization, helping accelerate end-to-end #AI workflows. https://t.co/iQRVai0toS
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Securing and Accelerating End-to-End AI Workflows with the NGC Private Registry

Securing and Accelerating End-to-End AI Workflows with the NGC Private Registry

AI is moving from research to production and enterprises are embracing its power to develop and deploy it across a wide variety of applications, including retail analytics, medical imaging…

On Apr 8, 2020
@hardmaru shared
RT @slashML: 3 Reasons Why We Are Far From Achieving Artificial General Intelligence https://t.co/f5LoiQcLYE
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