History of Artificial Intelligence

Описание: 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.