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AI Essentials publishes only the most insightful AI news article links selected by the most trusted experts in the AI & Machine Learning industry

Monthly report: July 2022

This month, The Essentials Report, has curated & analyzed the content published by 192 influencers like Kim Muro and ipfconline, discussing hashtags such as #ai , #MachineLearning and #fintech.
Read our monthly report or learn more about Essentials.

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Best articles in July 2022

@AutomatonBlog shared
On Jul 1, 2022
Video Friday: PoKeBo Cubes https://t.co/KdXESg3kZk https://t.co/EpEa5R1oBa
Open

Self-Driving Cars Work Better With Smart Roads

Your weekly selection of awesome robot videos

@AutomatonBlog shared
On Jul 1, 2022
Video Friday: PoKeBo Cubes https://t.co/KdXESg3kZk https://t.co/EpEa5R1oBa
Open
Self-Driving Cars Work Better With Smart Roads

Self-Driving Cars Work Better With Smart Roads

Your weekly selection of awesome robot videos

@nigewillson shared
On Jul 18, 2022
RT @HaleChris: Moving beyond mimicry in artificial intelligence. https://t.co/87mEc34W3Q #ai #ml @nigewillson @andy_fitze @HeinzVHoenen
Open

Moving Beyond Mimicry in Artificial Intelligence

What makes pre-trained AI models so impressive—and potentially harmful.

@nigewillson shared
On Jul 18, 2022
RT @HaleChris: Moving beyond mimicry in artificial intelligence. https://t.co/87mEc34W3Q #ai #ml @nigewillson @andy_fitze @HeinzVHoenen
Open
Moving Beyond Mimicry in Artificial Intelligence

Moving Beyond Mimicry in Artificial Intelligence

What makes pre-trained AI models so impressive—and potentially harmful.

@KirkDBorne shared
On Jul 1, 2022
Public Datasets — Curated lists of #OpenData for #BigData #DataScience #DataScientists #AI #MachineLearning #ResearchData ↓ 1 https://t.co/wBPyUMCbES 2 https://t.co/hHj2g9Zbjn 3 https://t.co/DqAmEKwJXx 4 https://t.co/Z6jnKI8UwD 5 https://t.co/HHj2w6GNGv 6 https://t.co/rsZ7SpKiBB https://t.co/5mQhadEp0f
Open

List of datasets for machine-learning research

Part of a series on Machine learning and data mining show Problems show Supervised learning (classification • regression) show Clustering show Dimensionality reduction show Structured prediction show Anomaly detection show Artificial neural network show Reinforcement learning show Theory ...

@KirkDBorne shared
On Jul 1, 2022
Public Datasets — Curated lists of #OpenData for #BigData #DataScience #DataScientists #AI #MachineLearning #ResearchData ↓ 1 https://t.co/wBPyUMCbES 2 https://t.co/hHj2g9Zbjn 3 https://t.co/DqAmEKwJXx 4 https://t.co/Z6jnKI8UwD 5 https://t.co/HHj2w6GNGv 6 https://t.co/rsZ7SpKiBB https://t.co/5mQhadEp0f
Open
List of datasets for machine-learning research

List of datasets for machine-learning research

Part of a series on Machine learning and data mining show Problems show Supervised learning (classification • regression) show Clustering show Dimensionality reduction show Structured ...

@Robohub shared
On Jul 1, 2022
ep.357: Origin Story of the OAK-D, with Brandon Gilles https://t.co/1egHseHilB https://t.co/2P1hMg0kif
Open

Origin Story of the OAK-D with Brandon Gilles

So like switches, routers, wifi access point outdoor long, long distance stuff. You know, both the driver who accidentally clips and killed someone because they’re text messaging and the person who is on the bike who gets killed, that regarded it to be an embedded system, that had all ...

@Robohub shared
On Jul 1, 2022
ep.357: Origin Story of the OAK-D, with Brandon Gilles https://t.co/1egHseHilB https://t.co/2P1hMg0kif
Open
Origin Story of the OAK-D with Brandon Gilles

Origin Story of the OAK-D with Brandon Gilles

So like switches, routers, wifi access point outdoor long, long distance stuff. You know, both the driver who accidentally clips and killed someone because they’re text messaging and the ...

@MIRIBerkeley shared
On Jul 7, 2022
RT @KeiranJHarris: In his 2017 book Life 3.0, @tegmark was pretty upbeat about our ability to safely develop powerful AI systems. But his optimism peaked while he was writing the last chapter, and he now says recent developments have put us in the “worst-case scenario”... https://t.co/YXshQiummY https://t.co/aMo2DOONvf
Open

Max Tegmark on how a ‘put-up-or-shut-up’ resolution led him to work on AI and algorithmic news selection

In the 2010s he wrote two best-selling books, Our Mathematical Universe: My Quest for the Ultimate Nature of Reality, and Life 3.0: Being Human in the Age of Artificial Intelligence, and in 2014 founded a non-profit, the Future of Life Institute, which works to reduce all sorts of threats ...

@MIRIBerkeley shared
On Jul 7, 2022
RT @KeiranJHarris: In his 2017 book Life 3.0, @tegmark was pretty upbeat about our ability to safely develop powerful AI systems. But his optimism peaked while he was writing the last chapter, and he now says recent developments have put us in the “worst-case scenario”... https://t.co/YXshQiummY https://t.co/aMo2DOONvf
Open
Max Tegmark on how a ‘put-up-or-shut-up’ resolution led him to work on AI and algorithmic news selection

Max Tegmark on how a ‘put-up-or-shut-up’ resolution led him to work on AI and algorithmic news selection

In the 2010s he wrote two best-selling books, Our Mathematical Universe: My Quest for the Ultimate Nature of Reality, and Life 3.0: Being Human in the Age of Artificial Intelligence, and in ...

@WorldTrendsInfo shared
On Jul 23, 2022
RT @hudson_chatbots: These 9 Research Papers are changing how I see Artificial Intelligence this year. @AntGrasso via @MikeQuindazzi #Robotics #AI #HealthTech #AR #VR https://t.co/YvYi5QUbTC https://t.co/hcQOkpAsMB
Open

These 9 Research Papers are changing how I see Artificial Intelligence this year.

A list of Research papers can be a tool that helps you to foresee the future of AI

@WorldTrendsInfo shared
On Jul 23, 2022
RT @hudson_chatbots: These 9 Research Papers are changing how I see Artificial Intelligence this year. @AntGrasso via @MikeQuindazzi #Robotics #AI #HealthTech #AR #VR https://t.co/YvYi5QUbTC https://t.co/hcQOkpAsMB
Open
These 9 Research Papers are changing how I see Artificial Intelligence this year.

These 9 Research Papers are changing how I see Artificial Intelligence this year.

A list of Research papers can be a tool that helps you to foresee the future of AI

@WorldTrendsInfo shared
On Jul 1, 2022
RT @Social_Molly: Artificial Intelligence Project Approach cc @MikeQuindazzi #EV #FutureofWork #AutonomousVehicles #AI https://t.co/6dpMOzPkJC https://t.co/xpoZqM7oa9
Open

Artificial Intelligence Project Approach

83% of organizations believe that artificial intelligence holds power to propel their business operations to the next level [1]. As a…

@WorldTrendsInfo shared
On Jul 1, 2022
RT @Social_Molly: Artificial Intelligence Project Approach cc @MikeQuindazzi #EV #FutureofWork #AutonomousVehicles #AI https://t.co/6dpMOzPkJC https://t.co/xpoZqM7oa9
Open
Artificial Intelligence Project Approach

Artificial Intelligence Project Approach

83% of organizations believe that artificial intelligence holds power to propel their business operations to the next level [1]. As a…

@dmonett shared
On Jul 8, 2022
RT @SchmidhuberAI: Lecun (@ylecun)’s 2022 paper on Autonomous Machine Intelligence rehashes but doesn’t cite essential work of 1990-2015. We’ve already published his “main original contributions:” learning subgoals, predictable abstract representations, multiple time scales…https://t.co/Mm4mtHq5CY
Open

LeCun's 2022 paper on autonomous machine intelligence rehashes but does not cite essential work of 1990-2015

I am referring the interested reader again to (I) our "cognitive architectures in which all modules are differentiable and many of them are trainable" [HAB][PHD][AC90][AC90b][AC][HRL0-2][PLAN2-5], (II) our "hierarchical architecture for predictive world models that learn representations ...

@dmonett shared
On Jul 8, 2022
RT @SchmidhuberAI: Lecun (@ylecun)’s 2022 paper on Autonomous Machine Intelligence rehashes but doesn’t cite essential work of 1990-2015. We’ve already published his “main original contributions:” learning subgoals, predictable abstract representations, multiple time scales…https://t.co/Mm4mtHq5CY
Open
LeCun's 2022 paper on autonomous machine intelligence rehashes but does not cite essential work of 1990-2015

LeCun's 2022 paper on autonomous machine intelligence rehashes but does not cite essential work of 1990-2015

I am referring the interested reader again to (I) our "cognitive architectures in which all modules are differentiable and many of them are trainable" ...

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