RESOURCES
Kneron’s Education Center provides comprehensive documentation and development resources to help learners and developers quickly begin building projects with Kneron’s AI technologies.
Across all levels of education, Kneron is committed to advancing AI learning and hands on innovation by developing resources that make AI projects more accessible and engaging. By working closely with educators and institutions, we aim to expand access to AI education and inspire the next generation of innovators.
Our goal is to empower a broader community of young learners, developers, and creators to explore AI tools, build meaningful applications, and actively participate in shaping the future of intelligent technology.
Across all levels of education, Kneron is committed to advancing AI learning and hands on innovation by developing resources that make AI projects more accessible and engaging. By working closely with educators and institutions, we aim to expand access to AI education and inspire the next generation of innovators.
Our goal is to empower a broader community of young learners, developers, and creators to explore AI tools, build meaningful applications, and actively participate in shaping the future of intelligent technology.
KNEO
KNEO is a private intelligent grid network of Kneron powered devices designed to deliver truly personalized mobile AI for everyone.
The KNEO open application platform provides a comprehensive set of hardware and software development tools that empower both students and industry developers to create innovative AI applications. Through this platform, developers can design, build, and deploy imaginative AI solutions that address real world needs.
These applications can then be shared, distributed, and commercialized through the KNEO ecosystem, enabling creators to reach a broader audience while contributing to a growing community of intelligent AI driven innovation.
The KNEO open application platform provides a comprehensive set of hardware and software development tools that empower both students and industry developers to create innovative AI applications. Through this platform, developers can design, build, and deploy imaginative AI solutions that address real world needs.
These applications can then be shared, distributed, and commercialized through the KNEO ecosystem, enabling creators to reach a broader audience while contributing to a growing community of intelligent AI driven innovation.
DEEP LEARNING IN SCHOOLS
Universities around the world are adopting the textbook written by Kneron CEO Albert Liu as part of their AI and engineering curricula. Paired with KNEO Stems, students gain hands on experience in deep learning through hardware design, learning how edge AI works in real world systems.
Through this approach, the next generation of innovators is empowered to explore the potential of edge AI, develop their own AI applications, and share them through the KNEO platform, where apps can be distributed for consumers to download or purchase.
From universities to elementary schools, Kneron is committed to planting the seeds of AI knowledge early. By teaching students how to develop AI applications and build personal mobile AI systems, we aim to create a future where personal AI becomes part of everyday life.To achieve this vision, AI education must become as common as technology education in our schools.
Leading institutions such as University of California, Los Angeles, University of Notre Dame, and University of Virginia, along with major universities in Hong Kong and Taiwan, have already committed to integrating Albert Liu’s curriculum into their programs.The movement has already begun.
Join us in bringing the Kneron curriculum to your school and help shape the future of AI. Together, we can empower the next generation to build, innovate, and transform the world with intelligent technology.
Through this approach, the next generation of innovators is empowered to explore the potential of edge AI, develop their own AI applications, and share them through the KNEO platform, where apps can be distributed for consumers to download or purchase.
From universities to elementary schools, Kneron is committed to planting the seeds of AI knowledge early. By teaching students how to develop AI applications and build personal mobile AI systems, we aim to create a future where personal AI becomes part of everyday life.To achieve this vision, AI education must become as common as technology education in our schools.
Leading institutions such as University of California, Los Angeles, University of Notre Dame, and University of Virginia, along with major universities in Hong Kong and Taiwan, have already committed to integrating Albert Liu’s curriculum into their programs.The movement has already begun.
Join us in bringing the Kneron curriculum to your school and help shape the future of AI. Together, we can empower the next generation to build, innovate, and transform the world with intelligent technology.
UNDERGRADUATE RESOURCES
Understanding Artificial Intelligence: Fundamentals and Applications
Artificial intelligence applications in my home
Designed to be an easy-to-understand textbook, this textbook requires no prior background in AI. Its engaging and approachable content introduces the fundamental concepts and technologies of artificial intelligence while exploring their implications for the future of work and society.
Several key chapters provide step-by-step guidance on developing AI applications and integrating hardware and software for robotics and intelligent systems.
In addition to covering core AI technologies such as machine vision, speech processing, autonomous driving, and drones, the book emphasizes real world applications across diverse industries, including healthcare, finance, retail, manufacturing, agriculture, government, and smart cities.
This textbook equips students with both the knowledge and practical insights to understand, build, and innovate with AI in any industry.
Artificial intelligence applications in my home
Designed to be an easy-to-understand textbook, this textbook requires no prior background in AI. Its engaging and approachable content introduces the fundamental concepts and technologies of artificial intelligence while exploring their implications for the future of work and society.
Several key chapters provide step-by-step guidance on developing AI applications and integrating hardware and software for robotics and intelligent systems.
In addition to covering core AI technologies such as machine vision, speech processing, autonomous driving, and drones, the book emphasizes real world applications across diverse industries, including healthcare, finance, retail, manufacturing, agriculture, government, and smart cities.
This textbook equips students with both the knowledge and practical insights to understand, build, and innovate with AI in any industry.
Senior High School
Understanding Artificial Intelligence: The Fourth Wave of Industrial Revolution
Learning AI Is Simple: A Preliminary Study of Machine Learning
This book brings AI to life with fun, real world examples, enabling beginners to master the five core processes of machine learning in a hands-on and approachable way.
Through illustrated concepts and fully explained step-by-step code, students can move beyond complex mathematics and equations and directly explore practical AI applications. They will learn to implement techniques such as AI interpretation of doodled data with “Quick Draw!”, linear regression for supervised learning, KNN and decision tree classifiers, and K-means clustering for unsupervised learning.
By the end of the book, students are equipped to create real AI projects, including models that can be tested and ranked on the Kaggle international AI competition platform, bridging classroom learning with tangible, real world results.
This approach makes learning AI both engaging and immediately applicable, empowering students to innovate and experiment with AI from day one.
Learning AI Is Simple: A Preliminary Study of Machine Learning
This book brings AI to life with fun, real world examples, enabling beginners to master the five core processes of machine learning in a hands-on and approachable way.
Through illustrated concepts and fully explained step-by-step code, students can move beyond complex mathematics and equations and directly explore practical AI applications. They will learn to implement techniques such as AI interpretation of doodled data with “Quick Draw!”, linear regression for supervised learning, KNN and decision tree classifiers, and K-means clustering for unsupervised learning.
By the end of the book, students are equipped to create real AI projects, including models that can be tested and ranked on the Kaggle international AI competition platform, bridging classroom learning with tangible, real world results.
This approach makes learning AI both engaging and immediately applicable, empowering students to innovate and experiment with AI from day one.
ELEMENTARY SCHOOL RESOURCES
5 Steps to Machine Learning: Become an AI master even without knowing how to write programs!
The author of this book has been engaged in both AI research and teaching for many years.
The material aims to bring children a practical understanding of artificial intelligence in their daily lives, so that they may be neither fearful nor unrealistic in their understanding of AI, thus cultivatinga technological literacy needed to meet the challenges of the future.
In addition, the book puts into practice ahands-onby guiding readers through the key "5 steps to machine learning" , as a result of which they may learn to build practical computer projects, such as trash sorting, mango grade classification, bird song identification, and gesture recognition.
The author of this book has been engaged in both AI research and teaching for many years.
The material aims to bring children a practical understanding of artificial intelligence in their daily lives, so that they may be neither fearful nor unrealistic in their understanding of AI, thus cultivatinga technological literacy needed to meet the challenges of the future.
In addition, the book puts into practice ahands-onby guiding readers through the key "5 steps to machine learning" , as a result of which they may learn to build practical computer projects, such as trash sorting, mango grade classification, bird song identification, and gesture recognition.
Operation Systems Supported
Windows.KDE.Android OS.Raspberry Pi.Mac.Docker
