The 12 things that make a theory interesting, as classically listed by Murray Davis in a 1971 article, also can serve other purposes: like deciding what is a good topic for a popular article, or as a guide for finding disruptive ideas for the future. …
https://proseminarcro
ssnationalstudies.files.wordpress.com/2009/11/thatsi
nteresting_1971.pdf
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RESEARCH
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Murray Davis’s 12 Criteria for Theory Interestingness and Innovation
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Enterprise AI Adoption Report 2022 Free Download
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AI Adoption in the Enterprise 2022 Download Free Report from @OReillyMedia
: https://
get.oreilly.com/ind_ai-adoptio
n-in-the-enterprise-2022.html
… #AI #DeepLearning #DataScience #BigData #Analytics #Robots #100DaysofCode #IoT #serverless #DEVCommunity #womenwhocode #DigitalTransformation #Python #Robotics #MachineLearning -
100+ Free Data Science and Machine Learning eBooks
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Free eBooks: 100+ Free Data Science Books http://
bit.ly/3AAD4At #NeuralNetworks #MachineLearning #TensorFlow #100DaysOfCode #BigData #Analytics #DevCommunity #Programming #IoT #javascript #Linux #Cloud #Serverless #womenwhocode #Python #RStats #DeepLearning #AI #DataScience -
TCP/IP Protocol Birth: Cerf and Kahn’s 1974 Breakthrough
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#otd in 1974 TCP/IP was born, when Vint Cerf & Bob Kahn submitted a paper describing a protocol for sending packets across networks: https://
bit.ly/2QbDPpi -
AI Today Podcast explores lack of common AI definition
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In this @Cognilytica #AIToday AI Glossary Series #podcast 'Artificial Intelligence' hosts @rschmelzer & @kath0134 share how there still is no commonly accepted definition for #artificialintelligence & Cognilytica’s definition for #AI. Full episode: https://
cognilytica.com/2022/11/04/ai-
today-podcast-ai-glossary-series-artificial-intelligence/?utm_source=dlvr.it&utm_medium=twitter
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Scaling Laws for Multi-Agent Reinforcement Learning
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Scaling Laws for a Multi-Agent Reinforcement Learning Model Oren Neumann, Claudius Gros : https://
arxiv.org/abs/2210.00849 #ArtificialIntelligence #DeepLearning #ReinforcementLearning -
ML Privacy Risks Beyond Verbatim Memorization Research
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Nice paper (ft @daphneipp @florian_tramer @katherine1ee +more) that argues looking at verbatim memorization is inadequate when considering ML privacy risks It also has the most interesting author ordering I've ever seen. So much for alphabetical or random https://
arxiv.org/abs/2210.17546 -
Future perspectives on polynomial models in physics
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Some day humans will find it so quaint that polynomials were our best models of Physics
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AI Debate 3: The AGI Debate Event Announcement
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"AI DEBATE 3 : The AGI Debate" RSVP (free) : https://
aidebate3.eventbrite.ca #AGI #AIDebate #AGIDebate
