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 ...

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.

The human brain is one of the most complex structures in nature, but the brain's origins stretch back hundreds of millions of years. A new study using AI deep-learning models has revealed more about ...

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

Regularization in Deep Learning is very important to overcome overfitting. When your training accuracy is very high, but test ...

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 is growing fast, and professionals now need both data science knowledge and Generative AI skills. These programs teach solid technical basics along with fundamental GenAI tools ...

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

Background Although chest X-rays (CXRs) are widely used, diagnosing mitral stenosis (MS) based solely on CXR findings remains ...

Overview: AI skills are among the most in-demand career competencies in 2026 across industries.Leading EdTech platforms focus on hands-on projects and real-worl ...

OpenAI is hiring a researcher to focus on health AI safety as it expands efforts to ensure its models provide reliable medical information. The San Francisco-based company is seeking a researcher, ...