Supercomputing for AI — Foundations, Architectures, and Scaling Deep Learning. [804-page masterpiece] Read it online: https://
jorditorresbcn.github.io/supercomputing
-for-ai-book/
… Buy it: https://
amzn.to/4qS4pFz GitHub repo: https://
github.com/jorditorresBCN
/supercomputing-for-ai
…
@kirkdborne
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Supercomputing for AI — Foundations, Architectures, and Scaling
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SciSpace expands AI-powered research platform with new integrations
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Great news today in the AI-powered research world!@SciSpace has released new capabilities +plus+ two major upgrades in its all-in-one AI-powered research platform:
— Kirk Borne (@KirkDBorne) 25 février 2026
1️⃣Extended Apps Integration in the SciSpace Agent — GitHub, Notion, OneDrive (added to existing integrations with… pic.twitter.com/C6YRpH3IE7Great news today in the AI-powered research world! @SciSpace has released new capabilities +plus+ two major upgrades in its all-in-one AI-powered research platform:
Extended Apps Integration in the SciSpace Agent — GitHub, Notion, OneDrive (added to existing integrations with -
Overview of Loss Functions in Machine Learning
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Machine Learning loss functions #infographic Loss Functions in ML Explained: https://
datacamp.com/tutorial/loss-
function-in-machine-learning
… Comprehensive Review of Loss Functions in Deep Learning: https://
arxiv.org/pdf/2504.04242
v1
…
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#AI #DataScience #DataScientist #Mathematics -
Learning from Experience: Definition of Machine Learning
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Learn from Experience! — the key to success in life and in Machine Learning. "Machine learning is the study of computer algorithms that automatically improve with experience." — From the first page of Tom Mitchell's book [1997]: https://
cs.cmu.edu/afs/cs.cmu.edu
/user/mitchell/ftp/mlbook.html
… My paraphrase: "ML is the -
AI Reveals Security Flaws in Consumer IoT
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This story reveals how AI can much too easily expose security flaws in consumer systems & devices… Is IoT Security an oxymoron?
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ArXiv eBook: Linear Models in Machine Learning and Statistical Learning
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[Download 433-page PDF eBook] Linear Models in #MachineLearning and Statistical Learning: https://
arxiv.org/abs/2401.00649 ——————
#Mathematics #DataScience #LinearAlgebra #Statistics #DataScientist #ML -
Physics-based Deep Learning eBook (arXiv)
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[Updated! 461-page PDF eBook] Physics-based Deep Learning: https://
arxiv.org/abs/2109.05237
+
Learn more at: https://
physicsbaseddeeplearning.org/intro.html ——————
#AI #MachineLearning #ML #DataScience #NeuralNetworks #Algorithms #Mathematics #DataScientist -
Downloadable 284‑page Introduction to Neural Networks
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Download 284-page PDF “Introduction to #NeuralNetworks” https://
dkriesel.com/en/science/neu
ral_networks
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#DataScience #AI #Algorithms #ML #MachineLearning #DeepLearning #Mathematics #Calculus #DataScientist -
Mathematical Theory of Deep Learning — arXiv Paper and Book
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Mathematical Theory of #DeepLearning [download 333-page PDF]: https://
arxiv.org/abs/2407.18384 *UPDATED*
+ +
See also this book: http://
amzn.to/3BqaW5e
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#AI #DataScience #ML #MachineLearning #Calculus #DataScientist #Mathematics #Algorithms -
The three roles of AI leaders should understand
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The 3 roles of AI that leaders should understand — they are not the same and neither are the goals of each role. Source: https://
linkedin.com/posts/clarekit
ching_ceo-why-arent-we-using-ai-yet-data-team-activity-7431612536577294336-fmOS
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