Computational Mindset @Computational_M
Algorithms, AI, Applied Mathematics, Operations Research, Quantum Programming and other topics concerning the computing, that is the third pillar of science. computationalmindset.com Pistoia, Italy Joined September 2021-
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Published on ettoremessina.tech a post showing the calculation of an integral of a function on a GPU with CUDA toolkit using the trapezoid rule. ettoremessina.tech/2024/10/06/num…
Published on ettoremessina.tech a post showing the calculation of discrete partial prime derivatives on GPU with CUDA toolkit. ettoremessina.tech/2024/10/03/hig…
Published on ettoremessina.tech a post showing the calculation of discrete prime derivative on GPU with CUDA toolkit. ettoremessina.tech/2024/09/14/hig…
Example of rips complex that is a way of forming a topological space from distances in a set of points.
This post is the first in the series of posts on reverse engineering and shows how the five arithmetic operations are compiled in assembly by C++ and Rust compilers on Linux with x86_64 architecture. ettoremessina.tech/2023/09/09/rev…
There was an exciting package waiting for me at work this morning - a physical copy of my textbook! Thank you @IOPPublishing! It is quite surreal to see it in the flesh. It took a lot longer to write than we originally planned, but I'm glad that we got it finished, and to see..
The harsh truth about being a quant: You have to read a lot. The 4 books every aspiring quant needs on their bookshelf:
Sul canale YouTube di Computational Mindset è stato pubblicato il terzo video sulla computazione quantistica dal titolo "Dal processo classico al processo quantistico. Dal bit al qubit": youtu.be/xTTUwpS4-RQ #computazionequantistica #quantum #quantumcomputing
Sul canale YouTube di computationalmindset.com è stato pubblicato il secondo video sulla computazione quantistica. Qui il link al secondo video dal titolo "Fisica quantistica vs fisica classica": youtu.be/_tIZzosgaWM #computazionequantistica #quantum #quantumcomputing
Sul canale YouTube di Computational Mindset è stato pubblicato il primo video di una serie di 14 video sulla computazione quantistica. Qui il primo video dal titolo "Entropia e computer quantistici": youtu.be/AtPFLr2giS0 #computazionequantistica #quantum #quantumcomputing
Parametric curve in space fitting with TensorFlow The topic of this post is the fitting of a parametric curve on a 3-D reference system Oxyz with parameter t. Click here for more: buff.ly/3HGt4pt #neuralnetworks #deeplearning #artificialintelligence #ai
One-variable real-valued function fitting with PyTorch The topic of this post is the fitting of a continuous and limited real-valued function defined in a closed interval. Click here for more: buff.ly/33bjoVa #neuralnetworks #deeplearning #artificialintelligence #ai
Parametric curve on plane fitting with TensorFlow The topic of this post is the fitting of a parametric curve on a Cartesian reference system Oxy. Click here for more: buff.ly/3eVwBnJ #neuralnetworks #deeplearning #artificialintelligence #ai #computationalmindset
One-variable real-valued function fitting with PyTorch This post is part of a series of posts on the fitting of mathematical objects (functions, curves and surfaces) through a MLP (Multi-Layer Perceptron). Click here for more: buff.ly/33bjoVa #neuralnetworks #ai
One-variable real-valued function fitting with TensorFlow This post is part of a series of posts on the fitting of mathematical objects through a MLP neural network. Click here for more: buff.ly/35BDDMZ #neuralnetworks #deeplearning #artificialintelligence #ai
Common tools for function fitting This post describes the use of a set of common tools written in Python to generate and display synthetic datasets. Click here for more: buff.ly/3JAQRsC #machinelearning #deeplearning #artificialintelligence #ai #computationalmindset
Fitting functions with PyCaret This post deals with the approximation of real mathematical functions to one or more real variables. Click here for more: buff.ly/34PBdKG #machinelearning #deeplearning #artificialintelligence #ai #computationalmindset
NOT and C-NOT quantum gates The operators of traditional high-level programming languages are translated by the compilers into short sequences of machine language instructions. Click here for more: buff.ly/3GigVX7 #quantumcomputing #quantumprogramming #ai
Pruning of neural networks with TensorFlow The purpose of pruning of the weights based on magnitude is to gradually zero out the less significant weights of the model during the training phase. Click here for more: buff.ly/3qewlVQ #neuralnetworks #deeplearning #ai
Ordinary differential equation solvers in Julia All the various code fragments described in this post require Julia version 1.5.3 and the following packages: DifferentialEquations, StaticArrays and Plots. Click here for more: buff.ly/3sHGQlN #neuralnetworks #ai
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