Artificial Intelligence, sometimes called Machine Intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans.
Introduction to Artificial Intelligence and intelligent agents, history of Artificial Intelligence,Building intelligent agents (search, games, logic, constraint satisfaction problems) and Machine Learning algorithms
Solid understanding of the guiding principles of AI. Apply concepts of machine learning to real life problems and applications. Design and harness the power of Neural Networks and Broad applications of AI in fields of robotics, vision and physical simulation.
Learn what Artificial Intelligence (AI) is by understanding its applications and key concepts including machine learning, deep learning and neural networks.
Understand what is AI, its applications and use cases and how it is transforming our lives explain terms like Machine Learning, Deep Learning, and Neural Networks, describe several issues and ethical concerns surrounding AI and Articulate advice from experts about learning and starting a career.
Natural language processing (NLP) is one of the most important technologies of the information age. Understanding complex language utterances is also a crucial part of Artificial Intelligence.
Apply deep learning models to solve machine translation and conversation problems. Apply deep structured semantic models on information retrieval and natural language applications and Apply deep reinforcement learning models on natural language applications.
MIT OpenCourseWare (MIT OCW) is an initiative of the Massachusetts Institute of Technology (MIT) to publish all of the educational materials from its undergraduate-level and graduate-level courses online, freely and openly available to anyone, anywhere.
This course includes interactive demonstrations which are intended to stimulate interest and to help students gain intuition about how artificial intelligence methods work under a variety of circumstances.
Machine vision (MV) is the technology and method used to provide imaging-based automatic inspection and analysis for such applications as automatic inspection, process control, and robot guidance, usually in industry.
It describe the physics of image formation, motion vision, and recovering shapes from shading. Binary image processing and filtering are presented as preprocessing steps.
Underactuation is a technical term used in robotics and control theory to describe mechanical systems that cannot be commanded to follow arbitrary trajectories in configuration space. This condition can occur for a number of reasons, the simplest of which is when the system has a lower number of actuators than degrees of freedom. In this case, the system is said to be trivially underactuated.
Algorithms for Walking, Running, Swimming, Flying, and Manipulation.