Moore's Law in action: NVIDIA CEO Jensen Huang predicts AI models "one million times more powerful than ChatGPT" within 10 years. NVIDIA currently controls an estimated 95% of the AI/ML market with its chips.
RESEARCH
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AI’s Future Role in Scientific Research and Discovery
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Great article by Bennie Mols on the future role of AI for science.
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Artificial Intelligence Biases: How Machine Learning Reflects Human Prejudices
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Artificial intelligence is far from neutral. It's not separate from us, our biases or our history. Great @voxdotcom video here that explains how #MachineLearning works and how this process can result in biased #algorithms.🤖
— Sean Gardner (@2morrowknight) 24 février 2023
(#AI #ML #MWC23 #mwc2023 #nlp #iot #AIEthics #dyk) pic.twitter.com/BAZwpUBRBrArtificial intelligence is far from neutral. It's not separate from us, our biases or our history. Great @voxdotcom video here that explains how #MachineLearning works and how this process can result in biased #algorithms. (#AI #ML #MWC23 #mwc2023 #nlp #iot #AIEthics #dyk)
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Top 8 Data Science Slack Communities to Join 2023
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Top 8 Data Science Slack Communities to Join in 2023: Take your Data Science journey to the next level by joining these Slack communities in 2023. https://
kdnuggets.com/2023/01/top-8-
data-science-slack-communities-join-2023.html?utm_source=dlvr.it&utm_medium=twitter&utm_campaign=top-8-data-science-slack-communities-to-join-in-2023
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Essential Math Topics for Machine Learning: Probability, Statistics, Linear Algebra, Calculus
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Probability, Statistics, Linear Algebra and Calculus. Checkout the Github Repo → http://
github.com/afshinea/stanf
ord-cs-229-machine-learning
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Deep Learning and Machine Learning Tips and Tricks
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Deep Learning, Tips and Tricks in Machine Learning
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Stanford Releases Machine Learning and Deep Learning Cheatsheets
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Stanford University has released these cheatsheets on Machine Learning, Deep Learning, Statistics, and Linear Algebra. Use this as your reference next time working with them:
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Google Scholar Blog Contributors and AI Research
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I thought that too, but maybe it's like, up to 5. Anurag Acharya is the name I associate with it. But there are a few more people who have written the blog posts here: https://
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Academic AI Career: Professor of Practice Achieves Dream Position
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On a positive note, I'm living my dream job as a *permanent* professor of practice. I research, teach, do service, write grants, run a lab, sole supervise PhDs and do all of the things TT do (I just teach one more course per year than my colleagues.)
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Google Scholar design control and alternative academic search platforms
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Agreed. The design choices, which are norm setting, are at the whims of a couple of folks (
https://
x.com/thegautamkamat
h/status/1541059471249752066
…). There are alternatives (e.g., @SemanticScholar
). If GS went under, then I assume something else would take its place.