Since 2021, Korean researchers have been providing a simple software development framework to users with relatively limited ...
Abstract: In the context of Smart Buildings, data arrive continually from sensors. Learning about those data is challenging if the option is to realize it at the edge. Under this hypothesis, learning ...
You don't need fancy hardware to get started on your coding journey. A low-spec computer will likely be more than you need to ...
The best new features and fixes in Python 3.14 Released in October 2025, the latest edition of Python makes free-threaded ...
Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...
The native just-in-time compiler in Python 3.15 can speed up code by as much as 20% or more, although it’s still experimental ...
Overview: In 2025, Java is expected to be a solid AI and machine-learning language.Best Java libraries for AI in 2025 can ease building neural networks, predict ...
The Infosys Model Inference Library (IMIL) is a versatile and powerful tool designed to simplify the deployment and utilization of machine learning models, regardless of the framework or model type.
Abstract: Spectral pixels are often a mixture of the pure spectra of the materials, called endmembers, due to the low spatial resolution of hyperspectral sensors, double scattering, and intimate ...
A comprehensive collection of 298 vendor MIB libraries compiled for use with PySNMP, sourced from the LibreNMS project's curated MIB repository. This project provides tools to compile, validate, and ...