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

In recent years, power consumption by machine learning technologies, represented by deep learning and generative artificial ...

An AI model using deep transfer learning—the most advanced form of machine learning—has predicted spoken language outcomes ...

Machine learning and deep learning are both parts of artificial intelligence, but they work in different ways — like a smart student versus a super-specialised ...

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

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 ...

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.

AI model using deep transfer learning – the most advanced form of machine learning – predicted with 92% accuracy spoken language outcomes at one-to-three years after cochlear implants (implanted ...

A research team has developed a new hybrid artificial intelligence framework that can accurately estimate leaf nitrogen ...

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

As generative AI continues reshaping industries worldwide, enterprises are accelerating adoption across production, ...

Vijayawada: Two academic books titled ‘Introduction to Artificial Intelligence’ and ‘Deep Learning’, authored by Dr Udayasri ...