How should foundation models be released? A new paper adds precision to one of the biggest tech policy debates today. The research – a collaborative effort among 25 scholars across various sectors – examines the societal impact of open foundation models. https://
stanford.io/42Xwm3m
RESEARCH
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Foundation Models Release Policy: New Research on Societal Impact
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Losing the Crypto Wars: E2EE and Privacy Defense Strategy
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Happening in 15 minutes, and online after! I’ll be speaking for the first time publicly on new research, arguing that we actually lost the crypto wars, and that understanding why can help us win against threats to e2ee and secure meaningful privacy for people more generally
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LLM Explanations: Plausibility Versus Faithfulness Analysis
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Paper on how to think about how LLMs explain their answers as plausible (do they make sense) & faithful (do they accurately represent how the LLM "thought"). For some cases, like the LLM explaining how to calculate 5!, you want plausible but not faithful. https://
arxiv.org/pdf/2402.04614
.pdf
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Five Characteristics of a Data Whisperer and Recommended Book
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5 Characteristics of a Data Whisperer: https://
kimgreen.co/2022/09/25/5-c
haracteristics-of-a-data-whisperer/
… Must see this book: http://
amzn.to/3qzXqm2 by @stdatawhisperer —————
#BigData #Analytics #DataScience #AI #MachineLearning #DataLiteracy #DataFluency #DataStorytelling #DataScientists #DataLeadership #DataStrategy -
AI-Generated Magic Cards Showcase Innovation Through Creative Remixing
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I like this feed of AI-generated magic cards, and not just because I am a nerd. They illustrate how AI can be valuable in innovation, even when it is just remixing ideas. Recombinations result in unexpected & unexplored novelty. Humans can easily filter out bad ideas & keep good
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Machine Learning Systems Design: Iterative Production-Ready Applications
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Designing #MachineLearning Systems — An Iterative Process for Production-Ready Applications: http://
amzn.to/4b0Hkcm by @chipro from @ClaypotAI ————
#BigData #DataScience #AI #ML #DataScientists #DeepLearning #DesignThinking -
Complete System Design Repository with 300+ Machine Learning Case Studies
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This repository contains everything you need to become proficient in System Design with 300+ case studies including #MachineLearning system design: https://
github.com/Coder-World04/
Complete-System-Design
… by @NainaChaturved8
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#DeepLearning #ML #AI #DataScience #DataScientists #DesignThinking #MLOps -
Training Neural Networks from Scratch with Parallel Low-Rank Adapters
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Training Neural Networks from Scratch with Parallel Low-Rank Adapters Huh et al.: https://
arxiv.org/abs/2402.16828 #ArtificialIntelligence #DeepLearning #MachineLearning -
IoT Data Analytics with Python and Streaming Data Technologies
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IoT Data #Analytics using #Python: http://
amzn.to/48hbaGM +
See my #IoT Streaming #DataAnalytics article here: https://
medium.com/@kirk.borne/ho
w-iot-streaming-data-is-going-to-the-dogs-e485fc4a782c
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#Coding #DataScience #DataScientists #AI #AIoT #MachineLearning #IIoT #Edge #EdgeComputing #TimeSeries #PredictiveAnalytics #Industry40 -
IoT Manufacturing Market Exceeds $2 Trillion by 2031
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#IoT in #Manufacturing Market to exceed $2Trillion by 2031! The adoption of #AI at the #Edge, #EdgeComputing and #EdgeAnalytics at point of data collection reduces latency and improves real-time decision-making: https://
globenewswire.com/news-release/2
024/02/22/2833328/0/en/IOT-in-Manufacturing-Market-Set-to-Soar-Past-USD-2114-33-Billion-by-2031.html
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#IIoT #Industry40 #DataScience #ML $IOT