As the ultimate solution for artificial intelligence, humanoid robots can interact with the environment, perform autonomous planning, decision-making, action, and execution like humans. Powerful functions also mean that systems including structure, sensing, drive, and control systems are much more complex than industrial robots. In the robotics market, Infineon provides a powerful product portfolio including motion control, environmental sensing, high-efficiency power supplies and chargers, auxiliary power supplies for sensors, digital and analog logic, and safety, providing a total solution from perception to execution, making it convenient for engineers to use integrated functional building blocks, thereby lowering the development threshold, shortening the customer's R&D cycle, and contributing to the development of humanoid robots. This seminar will introduce the current status and future development applications of robots based on Infineon products, as well as solutions and successful cases based on Infineon products in robotic applications.
Total of 3 lessons56 minutes and 32 seconds
This conference will introduce ON Semiconductor's products and applications in the three fields of automobiles, machine vision and artificial intelligence. In terms of automotive sensing applications, this conference will introduce the application of ADAS, DMS, OMS, E-Mirror and SensL products in lidar, such as: AR0820AT, AR0233AT, AR0147AT; in terms of industrial vision, Global Shutter's Python and XGS will be introduced Products, ON Semiconductor product block diagrams of typical industrial cameras; and ON Semiconductor product solutions in emerging AI fields (such as face recognition), such as AR0144, AR0234, AR0230, and AR0237IR in face scanning and obstacle avoidance applications.
Total of 1 lessons56 minutes and 1 seconds
Artificial intelligence is the hottest technology today. All major manufacturers want to make their own artificial intelligence products, but the entry threshold for artificial intelligence is very high. It is not easy to quickly make artificial intelligence products. This course will introduce you to it. This open source robot language recognition framework allows everyone to quickly implement their own artificial intelligence products and implement customized functions such as speech recognition, semantic understanding, and speech output.
Total of 15 lessons3 hours and 1 minutes and 6 seconds
This course is an entry-level artificial intelligence course, suitable for beginners, and can help beginners learn artificial intelligence from scratch. This course adopts the professional textbook "Introduction to Artificial Intelligence" (4th Edition) compiled by Professor Wang Wanliang of Zhejiang University of Technology. It closely focuses on the basic ideas, basic theories, basic methods and applications of artificial intelligence, and integrates some cutting-edge aspects of artificial intelligence. content. This course has 12 lectures in total, including: overview of artificial intelligence, first-order predicate logic representation, production representation and frame representation, reasoning methods based on predicate logic, credibility methods and evidence theory, fuzzy reasoning methods, search and solution strategies , Genetic Algorithm and its Application, Ant Colony Algorithm and its Application, Expert System and Machine Learning, BP Neural Network and its Application and Hopfield Neural Network and its Application.
Total of 80 lessons12 hours and 15 minutes and 33 seconds
Machine learning technology is the preferred solution for realizing artificial intelligence. In this seminar, we introduce the many advantages of NXP's i.MX RT crossover processor in supporting machine learning. These advantages make it logical and easy to introduce machine learning locally on the node. Subsequently, based on examples of object recognition and keyword detection, we will also demonstrate in this seminar the entire process of deploying and running a machine learning model on i.MX RT, as well as the integration of the machine learning module with the overall system.
Total of 2 lessons35 minutes and 0 seconds
In this series of tutorials, we’re going to explore the origins of modern computers, how computer hardware and software developed, discuss how and why our smart devices are getting smarter, and look toward the future! Over the course of this series, you'll gain a better understanding of how far computers have taken us, and where it can take us in the future. From the classic CPU and automatic control to the hot artificial intelligence and machine vision, you can quickly appreciate computer science. After reading this ten-minute crash course, you will feel happy and can see all the Chang'an flowers in one day.
Total of 40 lessons7 hours and 51 minutes and 35 seconds
This course is mainly aimed at students and people from all walks of life majoring in non-intelligent science and technology. It introduces the rich and colorful "natural intelligence" in the natural world and the "intelligent computing" models and methods inspired by it, as well as various forms of "intelligent systems" and The ever-changing "intelligent frontier" covers multi-disciplinary knowledge such as biology, medicine, genetics, physics, society and intelligent technology, with the goal of improving scientific and cultural quality, expanding the horizons of subject knowledge, and enhancing the awareness of scientific and technological innovation.
Total of 30 lessons4 hours and 31 minutes and 34 seconds
The topic of this course is artificial neural networks and their applications. This article discusses the basic units of artificial neural networks, network structures, several commonly used artificial neural network algorithms and their applications in power systems.
Total of 4 lessons1 hours and 26 minutes and 3 seconds
Main content: definition of artificial intelligence, tree search algorithm, information-free search strategy, heuristic search strategy, constraint satisfaction problem solving, game algorithm, Bayesian network, hidden Markov model, Kalman filter. Features: The teaching time of artificial intelligence courses in the school is 32 hours. It is a required professional course for master's students in computer science and technology. Since the basic theory of artificial intelligence involves intelligent search, reasoning, machine learning, etc., it is an essential theoretical foundation for various research directions of current information graduate students, and can lay a good foundation for students to conduct in-depth research in various directions. The ideas can be applied to pattern recognition, intelligent analysis and processing of images and videos, data mining and intelligent processing applications of various information. Since the course teaching focuses on the description of algorithms, students will not find it boring and can master intelligent ideas well through practical exercises combined with programming.
Total of 40 lessons8 hours and 47 minutes and 20 seconds
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