Overview:  Reinforcement learning in 2025 is more practical than ever, with Python libraries evolving to support real-world simulations, robotics, and deci ...

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 ...

We will create a Deep Neural Network python from scratch. We are not going to use Tensorflow or any built-in model to write ...

NITK develops SVALSA, a machine learning-based landslide warning system for the Western Ghats, enhancing disaster ...

The best new features and fixes in Python 3.14 Released in October 2025, the latest edition of Python makes free-threaded ...

Researchers in the Nanoscience Center at the University of Jyväskylä, Finland, have developed a pioneering computational ...

A new study shows that machine-learning models can accurately predict daily crop transpiration using direct plant ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

Test vendors use AI and machine learning to handle massive data volumes from complex electronics and detect hard-to-find ...

Security researchers uncovered a range of cyber issues targeting AI systems that users and developers should be aware of — ...

AI is cementing itself as a vital, part of our world and it is clear there is a need to adapt to an AI world or risk getting ...