Fast Food Robots Are Taking Over #RuleoftheRobots
AI
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How Insilico Medicine Uses AI to Accelerate Drug Development
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How Insilico Medicine Uses #AI To Accelerate Drug Development https://
forbes.com/sites/calumcha
ce/2022/11/09/how-insilico-medicine-uses-ai-to-accelerate-drug-development/
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Minting NFT copies of digital images on blockchain
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Until I mint my own NFT with a copy of the same image
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Brad Smith on Going Carbon-Negative with AI Technology
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Brad Smith explains why the world needs to go carbon-negative — and how to get there https://
buff.ly/3Tz7Mjn
#cop27 @microsoft #ai #ArtificialIntelligence #MachineLearning #DeepLearning -
Git Monorepo Checkout Issues on Windows Systems
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Remember we had the same issue with git checkouts on the monorepo under Windows.
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New Algorithm Reduces AI Curiosity Problem With Intrinsic Rewards
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New algorithm overcomes the problem of AI being too “curious,” utilizing intrinsic rewards when they are helpful to save practitioners' time on deciding which algorithm to use on any new task: http://
bit.ly/3fStdhe -
AI Impersonation Technology Creates Scam Vulnerability Risk
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So they're selling the ability to imitate anyone you like for a short time for $8 a go? Crypto scammers are going to love this so much, total bargain!
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Data Moats Overrated: UX and Distribution Win GenAI
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Many investors seem to think a data moat is what will lead generative AI companies to win in the coming years. Wrong. In a lot of cases, a small set of highly curated examples is all you need. Differentiate on UX, network effects, positioning, distribution, etc.
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Dataset Curation Strategy for AI Use Cases
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My rule of thumb: If the use-case doesn’t have a ‘right answer’, or is creative, curate small datasets. If the use-case has a ‘right answer’, lots of data is helpful and a moat will persist for a couple of years until models are ridiculously smart. Applies often but not always
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Nvidia Hopper Dominates MLPerf Benchmarks Against Intel Competition
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Nvidia showed up with Hopper at MLPerf, and most competitors didn’t show except for Intel. // $NVDA $INTC $GOOGL // #AI #machinelearning #mlperf // @MLCommons