#tensors — Public Fediverse posts
Live and recent posts from across the Fediverse tagged #tensors, aggregated by home.social.
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How to Train Your First TensorFlow Model in PyCharm
#Python #Pycharm #Datascience #Tutorials #Tensorflow #Tensorshttps://blog.jetbrains.com/pycharm/2026/04/how-to-train-your-first-tensorflow-model/
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Run a 1T parameter model on a 32gb Mac by streaming tensors from NVMe
#HackerNews #Run #a #1T #parameter #model #on #a #32gb #Mac #by #streaming #tensors #from #NVMe #https://github.com/t8/hypura #MachineLearning #Tensors #NVMe #Mac #Optimization
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All in on MatMul? Don’t Put All Your Tensors in One Basket!
https://www.sigarch.org/dont-put-all-your-tensors-in-one-basket-hardware-lottery/
#HackerNews #MatMul #Tensors #HardwareLottery #AIResearch #DataScience
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No Tension for Tensors? https://hackaday.com/2025/07/09/no-tension-for-tensors/ #Science #tensors #tensor #math
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This is an example of amortized complexity and Strassen's "asymptotic spectra" (nice monograph by Zuiddam & Wigderson: https://www.math.ias.edu/~avi/PUBLICATIONS/WigdersonZu_Final_Draft_Oct2023.pdf)
Strassen developed this to understand the #complexity of matrix multiplication and #tensors, but it turns out to also show up in a bunch of places:
- #Entropy
- #Quantum information
- Shannon capacity of graphs
- Communication complexity https://en.wikipedia.org/wiki/Communication_complexity#Information_Complexity
- Circuit complexity (Robere & Zuiddam https://eccc.weizmann.ac.il/report/2021/035)#math #probability #ComputationalComplexity #TCS #InformationTheory
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There are two obstacles when you use #Assemblyscript and #Deno for #MachineLearning #ML and #SmallLanguageModels #SLM. 1. Assemblyscript works with linear memory and you have to flatten 3D #tensors and 2D #matrices into 1D #arrays for doing any matrix algebra. 2. Deno is a bit more complicated than Node.js when working with #WASM (#Webassemly) files. Here is how you do it. Webassembly makes NNUE models even faster in computation. This together with #WebGPU will become our future. #AI #javascript
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🚀 **Introducing DevBytes**: Quick, fun dives into software & hardware engineering!
I’m launching a new blog series that breaks down software concepts with bite-sized insights and hands-on tips. From **tensors in LLM models** 🧠 to quick coding fixes, there’s something for everyone.
Get ready to explore theories, best practices, and more—delivered in minutes.⏳
👉 Check it out here: https://smsk.dev/2025/02/14/introducing-devbytes-quick-dives-into-software-engineering/#DevBytes #SoftwareEngineering #CodingTips #Programming #HardwareEngineering #ai #LLM #Tensors #ShortFormLearning
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'Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery', by Zhen Qin, Michael B. Wakin, Zhihui Zhu.
http://jmlr.org/papers/v25/24-0029.html
#tensor #tensors #factorization -
'A tensor factorization model of multilayer network interdependence', by Izabel Aguiar, Dane Taylor, Johan Ugander.
http://jmlr.org/papers/v25/23-0205.html
#tensors #tensor #multilayer -
#Tensors Everywhere in #Complexity
Me! At the colloquium.
With connections to geometric complexity theory, graph isomorphism, group isomorphism, #quantum entanglement, and post-quantum-secure cryptosystems.
Online Fri Oct 25 2024 at IU Bloomington CS: https://events.iu.edu/siceiub/event/1663944-tensors-everywhere-in-complexity
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Just stumbled onto this playlist showing how to visualize tensors, specifically F𝝁𝝂, the electromagnetic field tensor. Looks like the animation was made with manim but I bet it could be done in (Web) VPython. #ITeachPhysics #ElectromagneticField #Tensors
https://youtube.com/playlist?list=PL2aHrV9pFqNTEMuDFre16Wx2SwBCNiR7j&feature=shared
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#Spinors can be viewed as "square roots" of #sections of #vector #bundles.
https://en.m.wikipedia.org/wiki/Spinor
#Spinors are mathematical entities somewhat like #tensors, that allow a more general treatment of the notion of #invariance under #rotation and #Lorentz boosts.
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Named Tensor Notation
David Chiang, Alexander M Rush, Boaz Barak
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In Episode 4, we talked to Prof. Román Orús about #TensorNetworks, #QuantumAlgorithms and #QuantumInspired techniques.
We heard about how algorithms that originated in many-body physics could be put to use in solving real-world optimisation problems and how #MultiverseQC is applying these techniques with real clients in areas such as finance.
Take a listen to the episode if you'd like to know more - available on all good podcasting platforms!
#QuantumInformation #Multiverse #QuantumComputing #DMRG #Tensors #ManyBodyPhysics #Quantum #insideQuantum #DIPC #QuantumTechnology
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In Episode 4, we talked to Prof. Román Orús about #TensorNetworks, #QuantumAlgorithms and #QuantumInspired techniques.
We heard about how algorithms that originated in many-body physics could be put to use in solving real-world optimisation problems and how #MultiverseQC is applying these techniques with real clients in areas such as finance.
Take a listen to the episode if you'd like to know more - available on all good podcasting platforms!
#QuantumInformation #Multiverse #QuantumComputing #DMRG #Tensors #ManyBodyPhysics #Quantum #insideQuantum #DIPC #QuantumTechnology
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In #SolidMechanics, #stress has some counter-intuitive properties, particularly when you rotate the coordinate system. The values of normal and shear stress transform according to the rules of #second-order #tensors, which is a step above #vectors (first-order tensors).
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How Smart are AI Chips, Really? - The best part about the term “Artificial Intelligence” is that nobody can really tell you what it ex... more: https://hackaday.com/2019/11/04/how-smart-are-ai-chips-really/ #artificialintelligence #vectorprocessor #currentevents #featured #hardware #kendryte #science #algebra #tensors #k210 #ai
