Fantastic two days of activities around the Hopes and Fears lab, thanks to @EthicsSciPublic and @AccelerateSci for pulling this together and lots of AI experts for joining in. But thanks even more everyone who joined from the public to share their thoughts!
RESEARCH
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DETR: Detection Transformer Architecture Overview
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DETR (and others) https://
arxiv.org/abs/2005.12872 -
Good and evil within human hearts: moral oscillation
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"The line between good and evil runs not through states, nor between classes, nor between political parties — but right through every human heart — and through all human hearts. This line shifts. Inside us, it oscillates with the years. And even within hearts overwhelmed by
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Vector Search, Open-Source Business, and Language-Driven Digital Tech
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Vector Search, Building An Open-Source Business, and Digital Tech via Language with Bob Van Luijt — James Le https://
bit.ly/3tLT94O #AI #MachineLearning #DeepLearning #LLMs #DataScience -
Future of AI: Quantum Computing to General Intelligence
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Future of AI: From Quantum Computing to General AI https://
linkedin.com/pulse/future-a
i-from-quantum-computing-general-nicolas-babin-egyse
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#ArtificialIntelligence #Quantum #computing #innovation #technology @Shi4Tech @Fabriziobustama @IanLJones98 @Khulood_Almani @Hana_ElSayyed @thierry_pires @jblefevre60 @pierrepinna @IsabellePiel29 @enilev -
Bay Area Robotics Symposium streaming live today
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Bay Area Robotics Symposium (BARS) streaming today… https://
bars2023.github.io -
AI Models 100x Larger Pose Unknown Risks Amid Lack Regulation
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New paper: https://
managing-ai-risks.com
Companies are planning to train models with 100x more computation than today’s state of the art, within 18 months. No one knows how powerful they will be. And there’s essentially no regulation on what they’ll be able to do with these models. -
NLP Guide: Build and Deploy Machine Learning Models Online
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The guide offers detailed content on areas like natural language processing (NLP) and practical resources for applying learned skills. Users can build, display machine learning models online and participate in Kaggle competitions.
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Complete Machine Learning Guide for Students and Professionals
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This guide offers valuable content for everyone, regardless of learning stage. Suitable for students, professionals, and managers interested in AI. Access the full guide: https://
github.com/louisfb01/star
t-machine-learning
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Essential Online Courses and Books for AI and Machine Learning
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This guide includes recommendations for online courses and books to understand AI and machine learning. Although some resources may require investment, they're valuable for serious learners.