That's false.
Meta has open sourced tons of software and lots of public datasets.
Some anonymized/aggregated usage data is available to academic social scientists.
But private user data obviously cannot be distributed under any circumstance.
DATA
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Meta’s Data Sharing Policy: Open Source vs User Privacy
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AI Adoption Across Organizations: Where Are We Now?
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One third of organizations were already integrating AI across functions like marketing, sales, product development, and service operations. *9 months ago* I wonder what the figures are now? https://
mckinsey.com/capabilities/q
uantumblack/our-insights/the-state-of-ai-in-2023-generative-ais-breakout-year
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DMA Gatekeepers Report on Consumer Profiling Techniques
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Commission publishes template for DMA gatekeepers for their reporting obligations on consumer profiling techniques | Shaping Europe’s digital future https://
europa.eu/!P3FMG9
#digitaleu #DMA #digital #europe #innovation #technology @DigitalEU @ArturHabant @elaniaz @PawlowskiMario -
European Health Data Space: Advancing Digital Healthcare Innovation
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European Health Data Space https://
europa.eu/!MVmRPt
#health #healthcare #data #innovation #technology #digitaleu @DigitalEU @ArturHabant @elaniaz @CurieuxExplorer @Shi4Tech @smaksked @mvollmer1 @Fabriziobustama @enricomolinari @RagusoSergio @BetaMoroney @lyakovet @enilev @3itcom -
AI and Machine Learning Advances in Deep Learning and LLMs
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TITLE https://
bit.ly/3uKZLkp #AI #MachineLearning #DeepLearning #LLMs #DataScience -
NeurIPS 2023 Best Paper: Privacy Auditing with One Training Run
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Congratulations to Thomas Steinke, Milad Nasr, & Matthew Jagielski for their paper "Privacy Auditing with One (1) Training Run", which won the #NeurIPS2023 Award for Best Paper! https://
arxiv.org/abs/2305.08846 -
AI Analytics Transform Government Healthcare Services 2024
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How will AI and analytics help government and health entities deliver better services and programs that improve people’s lives in 2024? Check out SAS' predictions for the new year. #AIpredictions #SASpredictionsAI #SAStrendsAI http://
2.sas.com/6016RumKE -
Conformal Prediction: Quantifying ML Model Uncertainty in Regression
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Conformal Prediction (CP) is a way of quantifying the uncertainty of a machine learning (ML) model. There are many methods that work well for classification but the infinite output space of regression makes CP challenging. @SambaNovaAI Researcher @etash_guha will present our
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Data Analytics Empowering Art Institutions Through AI
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The art of data: Empowering art institutions with data and analytics https://
mck.co/3uMSCQJ #AI #MachineLearning #DeepLearning #LLMs #DataScience
