News

Astronomy has a major data problem – simulating realistic images of the sky can help train algorithms
To make a truly realistic fake picture of a galaxy, you can model exactly how light particles travel through the atmosphere ...
The New York Times8mon
How One Polling Decision Is Leading to Two Distinct Stories of the Election
Over the last month, one methodological decision seems to have produced two parallel universes of political polling. In one universe, Kamala Harris leads only narrowly in the national popular vote ...
eLife11mon
MotorNet, a Python toolbox for controlling differentiable biomechanical effectors with artificial neural networks | eLife
Artificial neural networks (ANNs) are a powerful class of computational models for unravelling neural mechanisms of brain function. However, for neural control of movement, they currently must be ...
Visual Studio Magazine2y
Regression Using PyTorch, Part 1: New Best Practices
The demo program was developed on a Windows 10/11 machine using the Anaconda 2020.02 64-bit distribution (which contains Python 3.7.6) and PyTorch version 1.12.1 for CPU. Installing PyTorch is like ...
Visual Studio Magazine2y
Binary Classification Using PyTorch, Part 1: New Best Practices
The demo program was developed on a Windows 10/11 machine using the Anaconda 2020.02 64-bit distribution (which contains Python 3.7.6) and PyTorch version 1.12.1 for CPU. Installing PyTorch is like ...
IT Business Edge3y
Python for Machine Learning: A Tutorial | IT Business Edge
Matplotlib is a Python library that enables users to create two-dimensional graphics. The library is widely used in machine learning due to its ability to create visualizations of data. This is ...
Frontiers3y
Embedding Functional Brain Networks in Low Dimensional Spaces Using Manifold Learning Techniques - Frontiers
Uniform manifold approximation projection has several essential hyper-parameters: (1) the dimension (d) of the low dimensional manifold where the data will be embedded; for visualization d = 2–3 but ...
Frontiers4y
Time-Lagged t-Distributed Stochastic Neighbor Embedding (t-SNE) of Molecular Simulation Trajectories - Frontiers
1 Department of Biochemistry and Microbiology, University of Chemistry and Technology, Prague, Czechia; 2 Department of Mathematics, University of Chemistry and Technology, Prague, Czechia; Molecular ...