https://vidumina.lk/ 2026-04-14 daily 1.0 https://vidumina.lk/blog.php 2026-04-14 daily 0.9 https://vidumina.lk/videos.php 2026-04-14 weekly 0.9 https://vidumina.lk/about.php 2026-04-14 monthly 0.8 https://vidumina.lk/contact.php 2026-04-14 monthly 0.7 https://vidumina.lk/privacy-policy.php 2026-04-14 yearly 0.5 https://vidumina.lk/terms.php 2026-04-14 yearly 0.5 https://vidumina.lk/blog.php?cat=arduino-basics 2026-04-13 weekly 0.7 https://vidumina.lk/blog.php?cat=biology 2026-04-14 weekly 0.7 https://vidumina.lk/blog.php?cat=chemistry 2026-04-14 weekly 0.7 https://vidumina.lk/blog.php?cat=diy 2026-04-13 weekly 0.7 https://vidumina.lk/blog.php?cat=engineering 2026-04-14 weekly 0.7 https://vidumina.lk/blog.php?cat=mathematics 2026-04-14 weekly 0.7 https://vidumina.lk/blog.php?cat=physics 2026-04-13 weekly 0.7 https://vidumina.lk/blog.php?cat=technology 2026-04-14 weekly 0.7 https://vidumina.lk/article.php?slug=arduino-vs-raspberry-pi-which-one-should-beginners-choose 2026-04-13 monthly 0.8 https://vidumina.lk/article.php?slug=433mhz-rf-transmitter-receiver-yk04-project-wireless-led-control-guide 2026-04-13 monthly 0.8 https://vidumina.lk/assets/images/uploads/img_69db6ff6eaa76.jpg https://vidumina.lk/article.php?slug=arduino-uno-pin-diagram-explained-complete-beginner-guide-with-examples 2026-04-13 monthly 0.8 https://vidumina.lk/article.php?slug=arduino-nano-pin-diagram-explained-beginner-friendly-guide-with-examples-comparison 2026-04-13 monthly 0.8 https://vidumina.lk/article.php?slug=what-is-arduino-complete-beginners-guide-vidumina-stem-zone 2026-04-13 monthly 0.8 https://vidumina.lk/article.php?slug=understanding-the-laws-of-motion-newtons-three-principles-explained 2026-04-13 monthly 0.8 https://vidumina.lk/assets/images/uploads/physics-motion.jpg https://vidumina.lk/article.php?slug=arduino-mega-pin-diagram-explained-complete-guide-for-large-projects 2026-04-13 monthly 0.8 https://vidumina.lk/article.php?slug=digital-vs-analog-pins-in-arduino-simple-beginner-guide 2026-04-13 monthly 0.8 https://vidumina.lk/videos.php?slug=how-black-holes-work-complete-guide 2026-04-09 monthly 0.8 https://img.youtube.com/vi/e-P5IFTqB98/hqdefault.jpg How Black Holes Work: A Complete Guide to the Universe's Most Extreme Objects Black holes are among the most fascinating and extreme objects in the known universe. In this comprehensive educational video, we explore everything you need to know about black holes — from their formation to their mind-bending effects on space and time. A black hole forms when a massive star exhausts its nuclear fuel and can no longer support itself against gravitational collapse. For stars more than about 20 times the mass of our Sun, this collapse is so complete that it forms a singularity — a point of infinite density surrounded by an event horizon, the boundary beyond which nothing, not even light, can escape. The event horizon is one of the most important concepts in black hole physics. It is not a physical surface but rather a mathematical boundary defined by the Schwarzschild radius, which depends only on the black hole's mass. Once anything crosses the event horizon, it is irretrievably lost to the outside universe — which is why black holes appear black against the backdrop of space. Supermassive black holes, containing millions or billions of solar masses, lurk at the centers of most large galaxies, including our own Milky Way. The black hole at the center of our galaxy, called Sagittarius A*, has a mass of about 4 million suns. In 2019, the Event Horizon Telescope collaboration produced the first direct image of a black hole — the supermassive black hole M87*, located 55 million light-years away. This video covers the types of black holes, the physics of the event horizon and singularity, Hawking radiation, tidal forces, and what would theoretically happen to an astronaut who fell into a black hole. Perfect for students, science enthusiasts, and anyone curious about the universe. https://www.youtube.com/embed/e-P5IFTqB98 2026-04-09 yes no https://vidumina.lk/videos.php?slug=periodic-table-explained-elements-groups-trends 2026-04-09 monthly 0.8 https://img.youtube.com/vi/0RRVV4Diomg/hqdefault.jpg The Periodic Table Explained: Understanding Elements, Groups, and Trends The periodic table is one of the most important tools in all of science — a single organized chart that encodes the properties of every known element and reveals deep patterns in the structure of matter. This educational video provides a thorough walkthrough of the periodic table, making it accessible and engaging for students at all levels. The modern periodic table arranges 118 known elements in order of increasing atomic number — the number of protons in the nucleus. This arrangement, pioneered by Dmitri Mendeleev in 1869, reveals that elements with similar chemical properties recur at regular intervals, a phenomenon known as periodicity. The table is organized into periods (horizontal rows) and groups (vertical columns). Elements in the same group share similar electron configurations in their outermost shell, which is why they exhibit similar chemical behavior. The alkali metals in Group 1, for example, are all highly reactive and form salts easily with halogens in Group 17. Key trends visible in the periodic table include atomic radius (which decreases across a period and increases down a group), ionization energy (the energy needed to remove an electron), electronegativity (the tendency to attract electrons in a chemical bond), and metallic character. Understanding these trends allows chemists to predict how elements will behave in reactions without having to test every possibility experimentally. The video also covers the special sections of the table: the transition metals with their distinctive d-orbital chemistry, the lanthanides and actinides of the f-block, and the noble gases that complete each period in a state of chemical contentment. By the end of this video, you will see the periodic table not as a wall of symbols to memorize, but as a profound map of atomic architecture. https://www.youtube.com/embed/0RRVV4Diomg 2026-04-09 yes no https://vidumina.lk/videos.php?slug=introduction-artificial-intelligence-machine-learning-neural-networks 2026-04-09 monthly 0.8 https://img.youtube.com/vi/ad79nYk2keg/hqdefault.jpg Introduction to Artificial Intelligence: Machine Learning, Neural Networks, and the Future Artificial intelligence is transforming every field of human endeavor, from healthcare and education to transportation and entertainment. This comprehensive introduction explains the core concepts behind AI, machine learning, and neural networks in a way that is accessible to beginners while remaining rigorous enough for those with technical backgrounds. Artificial intelligence refers broadly to the simulation of human cognitive functions by computer systems. These functions include learning from experience, recognizing patterns, understanding language, and solving problems. While early AI systems relied on explicitly programmed rules, modern AI uses machine learning — algorithms that improve automatically through experience without being explicitly programmed for each task. Machine learning comes in three main flavors. Supervised learning uses labeled training data to teach a model to map inputs to outputs — for example, learning to classify images of cats and dogs by seeing thousands of labeled examples. Unsupervised learning finds hidden patterns in unlabeled data, useful for tasks like customer segmentation and anomaly detection. Reinforcement learning trains agents to make sequences of decisions by rewarding desired behaviors, which is how AI systems learn to play chess and video games at superhuman levels. Neural networks are the backbone of modern deep learning. Inspired loosely by the structure of biological brains, they consist of layers of interconnected nodes (neurons) that process information and learn to extract increasingly abstract features from raw data. Deep neural networks with many layers have proven remarkably effective for image recognition, natural language processing, and scientific discovery. This video explores real-world applications of AI — from medical diagnosis and drug discovery to autonomous vehicles and language models — while also addressing important questions about bias, transparency, and the societal implications of increasingly powerful AI systems. 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