Deep learning is revolutionizing AI by enabling machines to think, learn and adapt like the human brain . From image recognition and natural language processing (NLP) to robotics and autonomous systems, deep learning powers cutting-edge innovations. World of the Neural Networks, Machine Learning and AI Advancements Deep learning is a subfield of artificial intelligence (AI) and machine learning (ML) . It mimics the way the human brain processes information using artificial neural networks (ANNs). Highlights: Deep Learning: Forefront of Artificial Intelligence in Machine Learnography How Deep Learning Works: Human Brain-Inspired Model Key Technologies Behind Deep Learning Real-World Applications of Deep Learning Deep Learning vs Traditional Machine Learning Challenges & Ethical Concerns in Deep Learning The Future of Deep Learning This article demystifies neural networks, explores real-world AI applications , and discusses the challenges and future of deep learning. Deep Learning: F...

Human learnography and machine learnography follow distinct, but interconnected paths in knowledge transfer. While human learnography develops brainpage maps and modules through motor science and task-based learning , machine learnography processes data using artificial neural networks and AI models. Neural Networks & Deep Learning: Future of Artificial Intelligence In this article, we delve into their similarities, differences, and how brain-computer interfaces and AI-powered academic learning could revolutionize the future of knowledge transfer. While human brain uses motor science, brainpage development and task-oriented learning, machine intelligence relies on artificial neural networks, deep learning and reinforcement learning. Highlights: Learnography Relying on Structured and Adaptive Learning Mechanisms Understanding Human Learnography Understanding Machine Learnography Parallels Between Human Learnography and Machine Learnography Key Differences Between Human and Machine ...

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...

In the learnography landscape of human brain, knowledge transfer acts as the lifeblood of cognitive function , shaping our ability to learn, reason, solve tasks and interact with the world around us. Learnography: Human Brain Through the mechanism of learnography, information flows between different areas of the brain, forming connections and building a dynamic understanding of our environment. Explore the parallels between knowledge transfer in the brain and the concept of data transfer in the digital realm, gaining insights into the fundamental processes that shape our understanding of the world. In this Taxshila Model, we explore the parallels between knowledge transfer in the brain and the concept of learnography, shedding light on the fundamental processes that underlie our intellectual growth and brainpage development. Brain as a Network of Knowledge What is knowledge transfer? Knowledge is transferred from one space to another space, from one object to another object or from one...

Learning transfer is crucial in school system and it is processed by the learning mechanism of brain circuits. We know that the logic circuit of knowledge transfer is located in the prefrontal cortex of brain. It is believed that there is an integral link of a person’s will to live and personality with the functions of prefrontal cortex. Logic circuit of knowledge transfer is located in the prefrontal cortex of human brain Logical reasoning is considered as the rational learning of knowledge transfer. This is the process of using the rational and systematic series of steps based on given statements and sound mathematical procedures to arrive at a conclusion. We know that learning is the process of acquiring knowledge, skills, behaviors, values or preferences that may be in new, modifying or existing form. The ability to learn is possessed by the neural circuits of human brain. Some learning is immediate, induced by a single event, but much skill and knowledge are accumulated from repea...