The top 10 technological breakthroughs of 2023 according to Alibaba DAMO Academy https://actuia.com/actualite/le-top-10-des-avancees-technologiques-2023-selon-alibaba-damo-academy/
… #AI #artificialintelligence #report
RESEARCH
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Top 10 Technological Breakthroughs 2023 According to Alibaba DAMO
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IARPA Studies Hacker Behavior Prediction for Cybersecurity
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Scientists at IARPA are studying how to understand and predict hackers’ behavior to be more effective in stopping cyber incidents
@catstupp
reports
@IARPAnews
#cybersecurity #psychology -
2023 Tech Trends: AI, Networks, IoT Podcast Episode
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Climb New Heights! 2023 #tech #application #data & #development trends New #podcast Ep
@techradiottt http://
bit.ly/A10TrendsPodca
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… With Tony Webb #VP @A10Networks @KanezaDiane @pchamard @danfiehn @4thWaveAI @Nicochan33 @PawlowskiMario @DigitalColmer #AI #networks #IoT @BevEve -
Distributed MLP Training Across Multiple Machines: Architecture
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One possible exercise: You have a one-hidden-layer MLP, which is so big that the weights can only fit across 4 machines. Describe how you’d do the forward-backward passes. What would you do if each machine had a small probability of breaking down?
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AI Evolution: From Data to Empathy in AI Development
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Progression of AI 2021: Data is all you need
2023: Explainability is all you need
2025: Empathy is all you need -
Andrew Ng Predicts Next Decade in Artificial Intelligence
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#Data-centricAI https://
venturebeat-com.cdn.ampproject.org/c/s/venturebea
t.com/ai/andrew-ng-predicts-the-next-10-years-in-ai/?utm_content=bufferdea73&utm_medium=social&utm_source=linkedin.com&utm_campaign=buffer&
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Oxford’s Deep Q-Learning Advances Algorithmic Trading Strategies
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Oxford U’s Deep Double Duelling Q-Learning Translates Trading Signals Into SOTA Trading Strategies
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ML Models Improve Multi-Armed Bandit Algorithm Performance Online
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Existing algorithms for the multi-armed bandit problem do not account for the available real world data that can aid algorithm design. Learn how an ML model that provides a weak hint can improve the performance of an algorithm in an online setting → https://
goo.gle/3XF84b0 -
Watermarking: a necessary trick for AI-generated content
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Watermarking will be a necessary trick to sift through the chaos of AI-generated content in the future. Authors: John Kirchenbauer, Jonas Geiping, Yuxin Wen Jonathan Katz, Ian Miers, Tom Goldstein from University of Maryland Link to paper: https://
arxiv.org/pdf/2301.10226
.pdf
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AI systems alerted to avoid synthetic data to prevent recursive training problem
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More importantly, it can alert the AI systems themselves not to train on "synthetic data", which could help solve the recursive AI data problem (AI training itself on it's own output, AKA the machine learning version of eating your own vomit)