~30% of true/false voters made the biggest misconception in privacy-preserving ML. Fact: federated learning is not private. @jasondeanlee and @tomgoldsteincs posted some nice papers showing this. Also, here's a blog explainer I like by @fraboeni et al.: http://
cleverhans.io/2022/04/17/fl-
privacy.html
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RESEARCH
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Federated Learning Privacy Misconceptions Debunked
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Closing Cybersecurity Gaps in Healthcare: 2022 Review
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Closing #CyberSecurity Gaps in #healthcare 2022 in Review! @ATTBusiness #Health & #Security #research See http://
bit.ly/CyberHealthC #AI #5G #ATTInfluencer #CES2023 @RocketVRHealth @DAO_EHT @1OFFGINGER @moingshaikh @tobiaskintzel @ILoveBooks786 @RosyCoaching @SpirosMargaris -
Happy New Year is All You Need – 2023 Research
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“Happy New Year is All You Need” — Akhaliq et al 2023
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How AI Is Improving Data Management Systems
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How AI Is Improving Data Management https://
sloanreview.mit.edu/article/how-ai
-is-improving-data-management/
… @mitsmr #AI #MachineLearning #DataScience #IoT #100DaysofCode #womenwhocode #serverless @enilev @FmFrancoise @CatherineAdenle @Shi4Tech @anijov @BIScorecard #BigData #Analytics #DeepLearning #DigitalTransformation -
AI as Cognitive Automation, Not Intelligence Leap
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"Much like dramatically improving clock technology does not lead to a time travel device. Intelligence and automation are simply two different categories." BLOG F.Chollet sobre IA y Automatización Cognitiva https://
fchollet.substack.com/p/ai-is-cognit
ive-automation-not-cognitive
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AI Superintelligence Through Scale and Collaboration Beyond Human Training
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How superintelligent is an average intelligent human for whom time flows 1000X slower and gets to colaborate with 1000 copies? I was in convo yesterday doubting that AI can ever go beyond human when it is trained on human. Even if that were true (imo isn't) there's more+faster.
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Mitigating Rare Pairings in Training Data Through Oversampling
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(can be mitigated by e.g. oversampling the rare pairings during training or eventully solved with a data engine)
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Neural Networks Exploiting Background Correlations in Price Predictions
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Fun! "It appears that, even though the model predicts the same make/model for all of the images, the background can influence the predicted price by almost $10k!" Haha, neural nets are happy and eager to take advantage of all the easy correlations you allow them to latch on to 🙂
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AI Model Performance Comparison for Code Generation
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For zero-shot prompts with instructions text-davinci-003 does better in my experience. The text models are actually trained on just as much code as code-davinci-002.
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Algorithmic Changes and Pod Detection Speculation
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Oh, some of those folks were. Based on what I know, I am very confident there was an algo change of some kind. Whether it got better at detecting pods in addition to whatever else it did, that's an interesting idea.