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Digital twin platform that simulates operational decisions and their impacts to solve complex industrial problems.
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On the importance of intuitive user interfaces for digital twins
On the importance of intuitive user interfaces for digital twins
Exploring the map-based user interface of Triton, a digital twin for water distribution
Joe Lorentz
Oct 1
Modelling a digital twin for water in GreyCat — the advantages of a programmable database
Modelling a digital twin for water in GreyCat — the advantages of a...
Quick and easy data modelling with our programmable database, GreyCat!
Joe Lorentz
Sep 18
Triton — a digital twin for water distribution
Triton — a digital twin for water distribution
Introducing our project for digitalizing the water distribution of the north of Luxembourg with build-in leak detection
Joe Lorentz
Sep 10
A “Hello, World!” program for digital twins
A “Hello, World!” program for digital twins
In this article we present the steps to create a bike rental digital twin powered by GreyCat.
Joe Lorentz
Aug 26
Benchmarking GreyCat sort
Benchmarking GreyCat sort
A faster framework for big data than python
Assaad MOAWAD
Aug 22
Greycat — A temporal graph database benchmark
Greycat — A temporal graph database benchmark
Storage efficiency
Assaad MOAWAD
Jun 6
Masked multi-head attention explained in a simple way
Masked multi-head attention explained in a simple way
How does chat GPT actually work? What is the attention mechanism behind it?
Assaad MOAWAD
Aug 28, 2023
Artificial intelligence and machine learning: the revolution in quality control, inspections and…
Artificial intelligence and machine learning: the revolution in qua...
Computer vision for industrial quality control
DataThings
Apr 26, 2022
The high costs of meta-learning
The high costs of meta-learning
And how to address them
Thomas HARTMANN
Jul 30, 2020
CalcGraph: a new computational graph model
CalcGraph: a new computational graph model
Tailored for meta-Learning
Thomas HARTMANN
Jul 28, 2020
A Neural Network fully-coded in Numpy and Tensorflow
A Neural Network fully-coded in Numpy and Tensorflow
Super simple, can’t be any easier, code provided
Assaad MOAWAD
Dec 16, 2019
Recurrent / LSTM layers explained in a simple way
Recurrent / LSTM layers explained in a simple way
A part of series about different types of layers in neural networks
Assaad MOAWAD
Dec 4, 2019
Dense layers explained in a simple way
Dense layers explained in a simple way
A part of series about different types of layers in neural networks
Assaad MOAWAD
Oct 8, 2019
Linear layers explained in a simple way
Linear layers explained in a simple way
A part of series about different types of layers in neural networks
Assaad MOAWAD
Oct 1, 2019
New to machine learning? Try to avoid these mistakes
New to machine learning? Try to avoid these mistakes
The things I learned the hard way as a data scientist
Assaad MOAWAD
Jul 19, 2019
Meta-Modelling Meta-Learning
Meta-Modelling Meta-Learning
Meta-modeling automatic machine learning process.
Thomas HARTMANN
Jul 9, 2019
Dimensions and degrees of freedom
Dimensions and degrees of freedom
Number of features vs number of dimensions
Assaad MOAWAD
Mar 6, 2019
Meta-Learning: Learning to Learn
Meta-Learning: Learning to Learn
Although artificial intelligence and machine learning are currently extremely fashionable, applying machine learning on real-life problems…
Thomas HARTMANN
Feb 6, 2019
The conceptual arithmetics of concepts
The conceptual arithmetics of concepts
How to capture, model, learn and process concepts
Assaad MOAWAD
Nov 21, 2018
Neural networks fudging the numbers
Neural networks fudging the numbers
Why do we still need data scientists?
Assaad MOAWAD
Oct 29, 2018
Encoding concepts, categories and classes for neural networks
Encoding concepts, categories and classes for neural networks
How to train a neural network for classification using softmax and logloss
Assaad MOAWAD
Jul 30, 2018
Benchmarking BLAS libraries
Benchmarking BLAS libraries
BLAS (Basic Linear Algebra Subroutines) benchmarks for OpenBlas, Cuda, Eigen, CuSolver, CuBlas
Assaad MOAWAD
Jul 9, 2018
Vectorized implementation of back-propagation
Vectorized implementation of back-propagation
In a previous post, we explained the basic principles behind back-propagation and how Neural Networks work. In this post, we will explain…
Assaad MOAWAD
Jun 1, 2018
What your location history tells about you?
What your location history tells about you?
At DataThings we are developing several reactive profiling tools (integrated into our GreyCat product) to better represent, visualise…
Assaad MOAWAD
Feb 12, 2018
Time series decomposition over weather data
Time series decomposition over weather data
We performed time series decomposition to get the trend, seasonal and random components from open source weather data of Luxembourg
Assaad MOAWAD
Feb 2, 2018
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