Yes! CSRankings falls short of this goal, since some areas are wholly unrepresented (a student wanted to know who works on learning theory… but COLT isn't there). @RoyRinberg showed me this nice tool he built to visualize arXiv collabs
MACHINE LEARNING
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Exploring LAION CLIP Dataset for Keyword Discovery Methods
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is there a way to explore LAION/CLIP so that we can more quickly uncover the key words?
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AI in Agriculture: Optimizing Irrigation and Increasing Farmer Yields
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We presented the first year of work of the @GPAI #gpai_IandC Project 3 Introducing AI in Agriculture and the data is undeniable: AI is optimising irrigation systems, preserving arable land, obtaining higher yields for farmers, creating new jobs in #AgroTech
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MineDojo: Building Open-Ended Embodied Agents Internet-Scale Knowledge
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MineDojo: Building Open-Ended Embodied Agents with Internet-Scale Knowledge Fan et al.: https://
arxiv.org/abs/2206.08853 #NeurIPS #NeurIPS2022 #ReinforcementLearning -
Value-Equivalent Sampling for Reinforcement Learning Decision-Making
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Deciding What to Model: Value-Equivalent Sampling for Reinforcement Learning Dilip Arumugam, Benjamin Van Roy : https://
arxiv.org/abs/2206.02072 #NeurIPS #NeurIPS2022 #ReinforcementLearning -
AI Iteration Upleveling Customer Experience Strategy
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How #AI iteration can uplevel the customer experience https://
venturebeat.com/ai/how-ai-iter
ation-can-uplevel-the-customer-experience/
… @venturebeat @fergal_reid #MachineLearning #DataScience #BigData #Analytics #DeepLearning #100DaysofCode #IoT #serverless #womenwhocode #DigitalTransformation #CX #ArtificialIntelligence -
CSRankings Limitations and Need for Better Academic AI Alternatives
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Yes. I have significant issues with various design choices of CSRankings. I wish there was a better and more customizable alternative (toggle people with industry on/off if you like?). It's, for better or worse, the best we got right now, and I get some utility from it.
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Machine Learning Research Paper from University of Washington
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http://
cs.washington.edu/homes/pedrod/p
apers/iclr18.pdf
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Three Eras of Programming: From Assembly to AI
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The three eras of programming:
1. Assembly code
2. High-level languages
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GPT-3 Training Data Composition Breakdown
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GPT-3 has been trained on 45 TB of text data from different categories: ⬩Common Crawl (8 years of raw web page crawling) ⬩WebText (The text of Reddit posts with 3+ upvotes) ⬩Books (The internet-based books corpora) ⬩Wikipedia Data is then "weighed" as such: