Neeraj retweeted
Parallel Computer Architecture: A Hardware/Software Approach
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New weekend blogpost. Some light PTX exploration, and a simple Top-K kernel.
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Another classic high school math textbook with plenty of problems to practice. Don’t be confused by “elementary” name, this is standard USSR name for school level. In comparison “high” math is university level. #math
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Mathematics starts with simple logic and introduces you to the secrets of the universe.
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Calculus of variations for stochastic processes: "Introduction to Malliavin Calculus" by David Nualart and Eulalia Nualart
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Windows Graphics Vulnerabilities Lead to Remote Code Execution and Memory Exposure research.checkpoint.com/2025…
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Looking for math problems for practice? This book has it covered. #math
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Neeraj retweeted
WOW64!Hooks: WOW64 Subsystem Internals and Hooking Techniques cloud.google.com/blog/topics…
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Stock is down by 50% from its peak! 📉 But guess what? Promoters have more than doubled their stake in the company — from 30.46% to 69.94% in just a single quarter! 📈 This massive increase shows strong confidence from the management in the company’s future growth. 💪 Guess the name? #StockMarket #Nifty50
Neeraj retweeted
people often take deep learning as synonymous with backprop, but deep networks were originally trained with probabilistic energy-based methods! found this great talk by hinton from 2012 about EBMs, boltzmann machines, and deep belief nets at the start of the deep learning era
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Neeraj retweeted
Chladni patterns corresponding to different resonant vibration modes of a square plate
Neeraj retweeted
crazy that it just takes 27 hours to learn machine learning from the Andrew NG’s Stanford course that students pay tens of thousands of dollars for. thank you internet.
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This is even more seductive for countless mathematicians. This is a part of notes that I typed in 2018 when I lectured on multilinear algebra and its application to the theory of manifolds.
my typesetting is so sexy
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⏳ Scientists say time may not be one-dimensional! A new theory suggests time flows in *three* directions, shaping space itself — and it could finally bridge relativity and quantum physics. A bold new theory from Dr. Gunther Kletetschka at the University of Alaska Fairbanks proposes that time itself has three dimensions — not one. According to the research, space isn’t the foundation of reality at all, but rather a byproduct of multidimensional time — like a picture painted onto a temporal canvas. The framework suggests a universe built from six total dimensions: three of space and three of time. Unlike many speculative theories, this one makes testable predictions, including precise calculations for the masses of fundamental particles such as electrons, muons, and quarks — a mystery that has puzzled physicists for decades. If correct, it could help unify Einstein’s relativity with quantum mechanics, bridging the gap between the cosmic and quantum realms for the first time. In this model, one time dimension represents our familiar forward flow, another allows for alternate versions of the same moment, and the third governs transitions between those realities — potentially enabling movement across timelines. Crucially, it still preserves cause and effect. Though speculative, this theory could mark a step toward the long-sought “Theory of Everything.” 📚 Source: “Three-Dimensional Time: A Mathematical Framework for Fundamental Physics,” Reports in Advances of Physical Sciences, 2025.
Neeraj retweeted
I've met tons of researchers who hate stats! If you're one of these, this book is for you ⤵️ Save (with 𝘤𝘭𝘪𝘱𝘱𝘦.𝘮𝘦) & Repost The author says it perfectly: "The most important concepts of statistics can be explained, so that ordinary people can understand it." — No complex formulas. — No expensive software needed. — Just spreadsheets & clear thinking. The book covers: — Sample surveys — Data presentation — Confidence intervals — Statistical tests Written for people who need to collect data. — Analyze results. — Present findings. But don't want to become mathematicians. Real examples throughout. — Like the Fitness Club survey with 30 kids. Shows you exactly how to spot bias. When to use different tests. How to avoid common mistakes. Perfect for public health researchers. Statistics doesn't have to be scary. (𝘢𝘵𝘭𝘦𝘢𝘴𝘵 𝘪𝘯 𝘵𝘩𝘦 𝘣𝘦𝘨𝘪𝘯𝘯𝘪𝘯𝘨) 💬 Comment if you'd like a link to download this book!
Neeraj retweeted
Model-Based Clustering and Classification for #DataScience, with Applications in R: amzn.to/4aV1VhH ————— #Rstats #DataScientist #MachineLearning #AI #Statistics #Mathematics
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Neeraj retweeted
"250 Problems in Elementary Number Theory" by Wacław Sierpiński Archive link: archive.org/details/250probl…
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Green's Theorem is used to #solve physics problems by transforming a line integral into a double integral (or vice versa), simplifying calculations for problems involving fluid flow, electromagnetism, and thermodynamics.
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