History of Artificial Intelligence скачать в хорошем качестве

History of Artificial Intelligence

This lecture was developed as part of a graduate-level course on 'artificial intelligence for medical applications and biomedical research' within the Cedars Sinai Health University. This course will explore how AI can be a driving force for automated clinical decision support and medical discovery. We will explore concepts in logic, knowledge representation, expert systems for automated decision-making, search algorithms, uncertainty in reasoning, and other related topics that will enable you to develop, understand, and apply health AI solutions effectively and ethically. We will explore how AI encompasses and differs from machine learning and the distinction between inductive and deductive reasoning. In a practical sense, the course will provide you with the tools to organize, represent, interpret, and search biomedical data to derive knowledge, automate decisions, and make predictions while avoiding bias. Lecture Weblinks: Myths, Machines, and Ancient Dreams of Technology    • Gods and Robots: Myths, Machines, and Anci...   Perceptron Research from the 50’s & 60’s Clip    • Perceptron Research from the 50's & 60's, ...   ELIZA DEMO: https://masswerk.at/elizabot/ Chapters: 0:00 Intro 0:41 Philosophy of AI 6:41 Early Imaginings 13:07 Gestation 20:28 Birth 24:01 Early Enthusiasm 27:09 Dose of Reality 29:32 Knowledge-Based Systems 32:35 AI Becomes and Industry 35:12 AI Adopts Scientific Method 38:08 Emergence of Intelligent Agents 39:50 Age of Big Data 42:00 Deep Learning Revolution 45:28 Generative Era 48:27 Future of AI? 49:52 Summary Correction: 37:49 Vapnik originally developed SVM concepts in the 1960s, but this method gained popularity in 1995 thanks to the Corinna Cortes and Vapnik introducing the widely used "soft margin" version.