Mastering Atari Games with Limited Data Ye et al.: https://
arxiv.org/abs/2111.00210 #MachineLearning #DeepLearning #ArtificialIntelligence
AI
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Mastering Atari Games with Limited Data: Deep Learning
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What Will Artificial Intelligence Do To Us?
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What Will #ArtificialIntelligence Do To Us? https://
currentaffairs.org/2022/11/what-w
ill-artificial-intelligence-do-to-us
… @curaffairs #AI #DeepLearning #Robots #BigData #Analytics #MachineLearning #100DaysofCode #IoT #serverless #womenwhocode #Rstats #Python #DigitalTransformation #TensorFlow #DataScience -
Why Tech Calls Machine Learning Systems ‘AI’
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Machine-learning systems are problematic. That’s why tech bosses call them ‘AI’ https://
theguardian.com/commentisfree/
2022/nov/05/machine-learning-systems-are-problematic-thats-why-tech-bosses-call-them-ai
… @guardian #AI #MachineLearning #DataScience #Robots #BigData #Analytics #100DaysofCode #IoT #serverless #womenwhocode #Python #DigitalTransformation #TensorFlow #DeepLearning -
Elements of People Success in Engineering and Industry 4.0
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The Elements of People Success https://
glintinc.com/blog/the-eleme
nts-of-people-success
… @ASMEdotorg @3DSNorthAmerica @Dassault3DS @cyngn @MargaretSiegien @Cindybolt61 @fogoros @DrFerdowsi @CRudinschi @PawlowskiMario @IIoT_World @MEngineeringMag #Engineering #Industry40 #Robots #Automation #AI #Manufacturing -
Midjourney Releases V4 Model From Scratch After Nine Months
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V4 is a new model trained from scratch by Midjourney. Totally new codebase. Been in the works for 9 months
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New Security Analysis Tool for Deployment Best Practices
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We know that data is one of the most valuable assets. That's why we've built security into every layer Now, we're excited to introduce Security Analysis Tool, which enables customers to review current deployments against our security best practices https://
bit.ly/3E44fov -
Montreal AI Building AGI Merch and NFT Brands
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AI | AGI Merch WE ARE BUILDING AI Clothes | AGI Clothes AIChampagne.Eth | AIWhisky.Eth | AIBeer.Eth https://
quebecartificialintelligence.com/aimerch http://
MONTREAL.AI: Winning the #AGI Race #AGI #AIMerch #AGIMerch #MontrealAI -
Parallel Experiments Challenge in Multilingual Machine Learning Project
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I also think there was a will to experiments on too many aspects at the same time and in parallel in BS: try a new organisation, a multilingual model with low-ressources languages, a new way of building a dataset (crowd sourcing of sources), attempts to train in fp16, etc etc
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Large AI Teams: BigScience Lessons on Project Organization
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yes, agree on the exhaustion feeling. BigScience was an experiment in trying to involve as many/diverse people as possible but a take-away is that too large teams can be counter-productive. Smaller projects like T0/ethics/RAIL were more successful inside BS than larger Bloom imo
