Explore 20 powerful activation functions for deep neural networks using Python! From ReLU and ELU to Sigmoid and Cosine, ...

Whole-mount 3D imaging at the cellular scale is a powerful tool for exploring complex processes during morphogenesis. In organoids, it allows examining tissue architecture, cell types, and morphology ...

Research into the intestinal cells of Burmese pythons has revealed the existence of a previously unknown cell type, ...

This important study presents a new method for longitudinally tracking cells in two-photon imaging data that addresses the specific challenges of imaging neurons in the developing cortex. It provides ...

In this paper, a novel robust state estimator (RSE) based on rectangular pulse function (RPF) is proposed considering the uncertainty in the measurements, leading an ideal RPF estimator. The goal of ...

A new JIT compiler, the first no-GIL edition of Python, better errors and typing enhancement, and the removal of dead batteries are all part of Python 3.13.

In this article, we introduce parallelproj, a novel open-source framework designed for efficient parallel computation of projections in tomography leveraging either multiple CPU cores or GPUs. This ...

Function generators usually consist of a generator of rectangular pulses, which are then converted into signals of triangular and sinusoidal shape. This function multiphase generator operates on a ...