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Latest Tech Trends: 5G, AI, IoT and Digital Transformation
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Rewind AI: Find Anything You’ve Seen, Heard or Said
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Rewind AI lets you find anything you've seen, heard or said. https://
futurepedia.io/tool/rewind-ai #AI #ChatGPT #Productivity -
AI Gloves Translate Sign Language into Spoken Words
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These intelligent gloves turn sign language into audible language. A life-changing invention for deaf people who can now be understood by anyone
— Pascal Bornet (@pascal_bornet) 28 décembre 2022
A meaningful initiative by students at the Washington State University who won the Lemelson-MIT Student Prize#innovation #technology pic.twitter.com/GLdQXQNKG4These intelligent gloves turn sign language into audible language. A life-changing invention for deaf people who can now be understood by anyone A meaningful initiative by students at the Washington State University who won the Lemelson-MIT Student Prize #innovation #technology
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Leonardo Raises Funds From Investors
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When Leonardo went to the investors to raise funds…
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OT Too Low Level: Codex Better for Code Refactoring
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OT is way too low level man. too much structure to have to rebuild when codex can already do entire coherent code blocks of refactoring
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Small Teams Disrupting Industries: The Power Leverage Question
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confirmation that Copilot team size was ~equal to @codeiumdev team size (though I heard Copilot took 6months? for UX R&D) When 2 pizza teams start leveling entire industries instead of companies, how will we wield the leverage we have been granted?
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Training ResNets Without Batchnorm: Achieving Strong Results
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Pretty amazing that we can get such good results even without batchnorm — and not using a proper resnet init like Fixup either! Maybe I should try lsuv with batchnorm-free resnet sometime…
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Bug Fix Improves Model Accuracy to 94.9 Percent
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h/t to @PiotrCzapla for noticing I had a bug that meant there's no batchnorm in those models! After fixing, my new best results: Epochs / c
5 / 93.0
20 / 94.5
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Active Learning: The Year of Breakthrough for Machine Learning Systems
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Active learning can enable machine learning systems to: 1) Adapt to changing conditions 2) Learn from fewer labels 3) Keep a human-in-the-loop for most difficult examples 4) Achieve higher performance. AL has been around for decades, 2023 might finally be the takeoff year.
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Generative AI to Revolutionize Active Learning Through Uncertainty
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With recent advances in generative AI, Active Learning is primed for a major breakthrough. When an algorithm is unsure of correct label for some part of encoding space, it can actively generate from that section to get input from a human.