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

Learn what CNN is in deep learning, how they work, and why they power modern image recognition AI and computer vision programs.

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

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

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 ...

Speaking of Alphabet, it would definitely be possible for both Microsoft and Alphabet to appreciate 50% in 2026. While Alphabet has had the best year of the " Magnificent Seven " stocks, up 62% on the ...

Adam Optimizer Explained in Detail. Adam Optimizer is a technique that reduces the time taken to train a model in Deep Learning. The path of learning in mini-batch gradient descent is zig-zag, and not ...

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

Experience or expertise drove past leadership paradigms. Today, leaders must develop technical expertise along with the ...

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

Researchers used a deep learning AI model to uncover the first imaging-based biomarker of chronic stress by measuring adrenal ...