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

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

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 ...

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 ...

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

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 ...

Overview: AI in financial services uses machine learning and automation to analyze data in real time, improving speed, accuracy, and decision-making across bank ...

Artificial Intelligence (AI) has become a buzzword in today’s tech-driven world, promising new possibilities and reshaping industries. Despite its prevalence, ...

In contrast to machine learning (ML), machine unlearning is the process of removing certain data or influences from models as the need arises.