Edge AI: Principles and Practices
Artificial Intelligence (AI) is transforming our world.
“Edge AI” is the distributed form of the technology and is becoming embedded in everyday devices and sensors.
Imagination’s strengths are low-power consumption and lower cost through minimising silicon area, and these are the vital enablers for Edge AI.
Our “EdgeAI: Principles and Practices” is an under-graduate course that provides a solid foundation in this subject. It addresses the definition of “AI” and the differences at the Edge.
It explores the popular algorithms, the mathematics behind them, and has hands-on labs to illustrate how they work. Application examples include: Security Camera, Image Classification, Speech and Natural Language Processing, Speech Recognition.
RVfpga: Understanding Computer Architecture
Introduction to Mobile Graphics
Software Development Tools & Integrated Development Environments
The development tool chain for PowerVR is available to academia at no-charge, Neural Compute SDK is for beta tester only:
Hardware & Books
Popular choices of hardware powered by PowerVR and our Neural Network Accelerator.
We have compiled a summary of the most widely-used textbooks around our teaching materials and technologies based on our academic community feedback.
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- teaching materials and support
Get advice from the forum monitored by IUP staffs.
For all other technical support please visit the appropriate support forum:
Improving your teaching outcomes
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