IGPXT @lNFORMATlCS
for epistemic foraging🛠️📑 Tespia Joined September 2022-
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C isn’t dead; it’s evolving. > this book shows how to write clean, safe, and powerful code with today’s standards. > perfect for systems programmers, embedded devs, and anyone who wants to master the language that still runs the world
Graph theory will seriously enhance your engineering skills. Here's why you must be familiar with graphs:
How to Build Your Own Spaceship isn’t sci-fi; it’s the DIY guide to the final frontier. What it actually shows: Rocket science → explained without the PhD History → from Apollo to SpaceX, the hacks that made it possible Engineering → how to design engines, fuels, and systems…
I definitively need to start... "Starting Category Theory" worldscientific.com/worldscibooks/…
Extremely proud of our recent "Lost in Latent Space" paper by our amazing @PolymathicAI intern @FrancoisRozet ! How far do you think we can/should compress ? What is needed in the latent space to keep rolling out the physics right across so many scales?
Extremely proud of our recent "Lost in Latent Space" paper by our amazing @PolymathicAI intern @FrancoisRozet ! How far do you think we can/should compress ? What is needed in the latent space to keep rolling out the physics right across so many scales? https://t.co/IoYFQglL6I
okay here you go
Matrix Information Geometry Information Geometry, Structured Matrix, Positive Definite Matrix, Covariance Matrix, Sensors and Applications in Cognitive systems, in particular Data Mining. link.springer.com/book/10.1007/9…
"Geometric and Topological Inference" with free PDF preprint available from the authors: inria.hal.science/hal-01615863/
ever wonder what actually happens inside chinese math classrooms? > this gives an insider’s view of the methods, mindset, and strategies behind their success. > essential for teachers, educators, and anyone curious about why their approach works
Two excellent books that I recommend on information theory: * "Information theory, inference and learning algorithms" by Sir MacKay Available at: inference.org.uk/itila/book.html * "Information Theory: From Coding to Learning" by Y. Polyanskiy and Y. Wu Available from authors home page
I happened to notice that my name appears (at least once) in the Palgrave Companion to the Philosophy of Set Theory. How very nice!
writing code is one thing; writing efficient code is another. > a clear, practical guide to algorithms and data structures using C, with real-world examples. > perfect for C programmers who want to master performance and problem-solving.
If you're trying to find a beginner friendly and affordable introduction to quantum electrodynamics, you should check out ''QED: The Strange Theory of Light and Matter'' by Richard Feymann. Also publicly available on the Internet Archive, by the same author, is ''Quantum…
ideas are easy, making them move is hard. > this is the hands-on guide to gears, levers, forces, and motion, written for inventors, hobbyists, and builders who want their projects to actually work
why do chinese students consistently excel at math? > this book dives into the teaching methods, cultural attitudes, and classroom practices behind it. > a must-read for educators, parents, and anyone curious about different ways of mastering math
An excellent *concise* book to get an introduction to *topological data analysis* (TDA) with homology and Morse theory
New preprint alert🚀 biorxiv.org/content/10.110… We show mitochondria remodel near synapses during brain plasticity for learning 🧠 Led by Monil Shah (@MPFNeuro IMPRS PhD student) using advanced microscopy & new algorithms revealing stunning neuronal beauty ✨🔬 Thank you, team!

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MD+DI @MDDIonline
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41K Followers 170 Following Official news from Boston Scientific, a leading innovator of less invasive medical solutions that transform lives. Find us on Facebook, LinkedIn, and Instagram.
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