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 ...

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 ...

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

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.

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 ...

A joint research team from NIMS, Tokyo University of Science, and Kobe University has developed a new artificial intelligence ...

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 ...

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

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

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

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