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...

School made for knowledge transfer Biologically, learning is knowledge transfer to one’s brain regions. School hour is mostly spent on teaching activities and students don’t get time to read, learn and solve the task problems of knowledge chapter in the classroom. It is obvious that high class teaching is provided in the classroom but nothing is transferred to student’s brain circuits in listening, talking and watching. Therefore, teaching in education system is the waste of school hours. Obviously, school hour is mostly spent on the high motivation, hard instruction and cognitive inspiration of teaching activities. Waste of 10,000 school hours Take an academic test just after teaching to verify learning transfer in student’s brain and you will find the truth that teaching is the waste of school hours. School time is mostly spent on teaching activities and it continues for 12 years in the children’s brain. Everyday in school, homework is given to students for practice, writing and lear...

The development of modern world has witnessed an enormous shift in the field of learning, working and growing over the past few years. The traditional classroom approach of education system has been replaced by digital platforms, which has changed the way we learn, work and grow in manufacturing and finance. Integration of human learnography and machine learnography is crucial to the development of science and technology - Shiva Narayan Today, we have access to contents and information at our fingertips and machines are becoming an integral part of learning transfer and sharing process. In this article, we will explore the concept of human learnography and machine learnography and how they go hand in hand in the developmental process of productions and economy. Human learnography is the study of how human brain acquires, processes and retains knowledge transfer. It focuses on the cognitive, emotional and motor (physical) aspects of learning, emphasizing the importance of experiential l...

Machine Learnography What is human learnography? Human learnography refers to the study of learning mechanism and the brain's processing of definitions and information. It involves understanding how human brain retains and retrieves information, how emotions impact learning transfer, and how different types of learners process information differently. Human learnography also focuses on the development of new learning strategies to enhance the learning experience of tasks and projects. In today's world, learning has become a fundamental aspect of our daily lives. It is through learning activities that humans have been able to create technologies that make our lives easier, comfortable and more efficient. Two forms of learning system that have gained popularity in recent years are human learnography and machine learnography. While these two forms of learning may seem different, they actually complement each other in the developmental process of productions. What is machine learno...