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

In this video, we will understand in detail what is Momentum Optimizer in Deep Learning. Momentum Optimizer in Deep Learning ...

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 ...

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

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

The current boom in AI technology has ridden on a wave known as ‘deep learning’, which is an approach to creating intelligent ...

In conversation with Dr. Subrata Chakraborty, Founder & CEO of INOPHAR Consulting and INOVR ®, a capability-building platform ...

Nguyen Huu Thien built on his passion for mathematics to become an associate professor of computer science in the U.S. and ...

Step inside the Soft Robotics Lab at ETH Zurich, and you find yourself in a space that is part children's nursery, part ...

Machine learning techniques that make use of tensor networks could manipulate data more efficiently and help open the black ...

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