This workshop will consider several applications based on machine learning classification and the training of artificial neural networks and deep learning.

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting ...

A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity ...

Implement Neural Network in Python from Scratch ! In this video, we will implement MultClass Classification with Softmax by making a Neural Network in Python from Scratch. We will not use any build in ...

Abstract: This article proposes a neural network (NN)-based calibration framework via quantization code reconstruction to address the critical limitation of multidimensional NNs (MDNNs) in ...

Metro Detroit's iconic 313 telephone area code will soon run out of possible phone numbers, and 679 will be a new local area code as soon as next month. This means when there are no more new phone ...

Abstract: Polarization-adjusted convolutional (PAC) codes are an advanced variant of polar codes, capable of approaching the dispersion bound in certain cases. However, to achieve the near-bound ...

B. Heller-Kaikov, R. Pail and M. Werner, Neural network-based framework for signal separation in spatio-temporal gravity data. Computers and Geosciences (2025), doi ...

The Secret Service discovered more than 100,000 SIM cards and 300 servers, which could disable cellular towers or be used to conduct surveillance. By Eileen Sullivan Reporting from Washington The ...

The Python team at Microsoft is continuing its overhaul of environment management in Visual Studio Code, with the August 2025 release advancing the controlled rollout of the new Python Environments ...

DeepH-HONPAS is a computational package designed for electronic structure calculations. It integrates DeepH (https://github.com/mzjb/DeepH-pack?tab=readme-ov-file ...