Deep learning is a branch of AI powered by artificial neural networks (ANNs). This machine learnography is transforming industries worldwide. From self-driving cars and medical diagnostics to AI chatbots and creative algorithms, deep learning enables machines to learn, adapt and make intelligent decisions. Deep Learning and Neural Networks: Science Behind Artificial Intelligence (AI) Discover the fundamentals of deep learning, from neural networks to cutting-edge AI applications . This article demystifies deep learning, explains how neural networks work, and explores the future of AI-driven intelligence. Highlights: Human Learnography: Root of Machine Learnography What is Deep Learning? Neural Networks: Backbone of Deep Learning Types of Neural Networks in Deep Learning Applications of Deep Learning in AI Challenges in Deep Learning AI-Driven Brainpage-Based Knowledge Transfer Explore the challenges of modern machine learnography , ethical considerations, and the future of AI-driven l...

Cognitive technology refers to advanced computing systems that mimic human cognitive processes to enhance decision-making, problem-solving and various other complex tasks. It integrates disciplines such as artificial intelligence (AI), machine learnography (ML), natural language processing (NLP) and data analytics to simulate human thought processes in a computerized model. Cognitive Technology: Machine Learnography Here is an overview of cognitive technology: Key Components of Cognitive Technology Artificial Intelligence Machine Learnography Natural Language Processing Data Analytics 1. Artificial Intelligence (AI) AI, artificial intelligence involves creating systems capable of performing tasks that typically require human intelligence. These tasks include recognizing speech, learning, planning and problem-solving. 2. Machine Learnography (ML) This is a subset of artificial intelligence. ML focuses on developing algorithms that allow computers to learn from and make decisions based o...