I'd be interested to know how many of those ten who opted to stay were on visas
AI
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AI Computer Vision Detects Product Defects Perfectly
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From Defect to Perfect! Impact of #AI #ComputerVision #ML #DeepLearning on Quality Great example @MarinerLLC @IntelIoT https://
insight.tech/industry/produ
ct-defect-detection-you-can-count-on-with-mariner-2?utm_source=twitter&utm_medium=organic&utm_campaign=2022-tdc-eaves
… #tech #DigitalTransformation @Shi4Tech #podcast #IntelPartner @insightdottech #ITInfluencer #Product @pierrepinna @SpirosMargaris -
HyperWrite switches AI model during provider outage
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We are currently experiencing an outage with one of our providers. Our team is working to fix this, and we have transitioned HyperWrite to a different AI model in the meantime. Note that you may see a varying quality of outputs while we implement a permanent fix.
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Galactica AI Tool: Promising Yet Risky Like AutoPilot
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Great thread! I will try #Galactica with the same caution as Tesla's "AutoPilot." It's fun but dangerous. It should not be shut down. Great for writing onion articles!
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Understanding the Data Science Lifecycle and Its Importance
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Understanding the Data Science Lifecycle (and Why It's Important) #DataScience
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GALA Model Code Released on GitHub for Researchers
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The code is available. https://
github.com/paperswithcode
/galai
… So, we can try, but the general public can't. -
ImageNetX: Human Annotations for AI Vision Model Robustness Analysis
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We’ve released ImageNetX: a set of human annotations for the popular ImageNet benchmark to gauge model robustness strengths/weaknesses — one of the first large scale efforts to pinpoint mistake types in AI computer vision systems. Explore the dataset
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ImageNetX: Explaining Vision Model Failures Through Detailed Annotations
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Even today’s best #deeplearning vision systems can fail when pose/lighting/background vary. Existing benchmarks show challenging examples but don’t explain why. ImageNetX includes annotations for the entire ImageNet1k validation set + a random subset of 12k training images.
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CS-2 System Achieves Fast SARS-CoV-2 Genome Training Convergence
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At a Gordon Bell Prize finalist talk, Kyle Hippe of @argonne said “The CS-2 system allows for really fast time to solution. We were able to train from scratch on the SARS-CoV-2 genomes and reach convergence in less than a day." Read the @HPCwire article:
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LangChain 0.0.15 Release: Dark Mode and SQL Improvements
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LangChain version 0.0.15 – "the @nlarusstone release" improve color highlighting so it looks good in dark mode @nlarusstone (see below) add tables to ignore/include in SQL DB chain @nlarusstone add concept of document metadata add `apply` method to all chains