Integrating Edge AI and Advanced Nanotechnology in Semiconductor Applications is a five-course program that explores the intersection of artificial intelligence, edge computing, and nanotechnology with real-life applications and future trends.

The program begins with an introduction to the topic and progresses to advanced subjects such as nanomagnetic logic, rebooting computing, and semiconductor innovations. It includes practical applications in healthcare and IoT, and wraps up with system design and future trends. Learners acquire a broad skill set, enabling them to navigate and innovate within modern computing.

Course program objectives:
  • Grasp fundamental concepts of edge AI nanoinformatics
  • Progress from basic to advanced skills in rebooting computing
  • Learn efficient system design for edge AI data
  • Navigate modern computing complexities
  • Develop expertise in nanoscale data processing and future trends

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Features

Courses included in the program:

  • Bridging Theory and Practice
  • Leading the Future of Computing
  • Advancing Semiconductor Innovations
  • Transforming Healthcare, Semiconductors, and IoT
  • Scaling Systems for Future Advancement

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Author 1
Frede Blaabjerg

(AALBORG, DENMARK)

Harmonic Stability in Power Electronic Based Power Systems: Concept, Modeling, and Analysis

Author 2
Irith Pomeranz

(INDIANA, US)

Extra Clocking of LFSR Seeds for Improved Path Delay Fault Coverage