The book includes insights from the following experts:
- Brandon Becker, Product Marketing Manager, SiC JFETs, onsemi
- Felicity Carson, Chief Marketing Officer, onsemi
- Ee Kin Chin, Senior Machine Learning Engineer, Meta
- Naveen Dodda, Applied Machine Learning Engineer, Google
- Alessandro Maggioni, Sr. Manager, Regional Marketing EMEA, AMG, onsemi
- Pranav Maheshwari, Staff Machine Learning Engineer, Tesla
- Ganesh Narayanaswamy, Senior Business Marketing Manager, onsemi
- Aarati Noronha, Machine Learning Engineer, Amazon AGI
- Prasad Paruchuri, Technical Marketing Team Leader, Power Solutions Group, onsemi
- Shreyash Rawat, Machine Learning Engineer, Meta
- Vipul Tiwari, Senior Solutions Architect for Agentic AI and FinOps Center of Excellence, Amazon
Powering and Sensing AI: From Cloud Infrastructure to Physical Autonomy was generously sponsored by onsemi and Mouser Electronics
Today’s AI systems—spanning cloud infrastructure, autonomous machines, and industrial automation—are increasingly defined by the demands of efficient power delivery and high-fidelity sensing. We interviewed leading experts about the shift from viewing AI as a purely software-driven domain to recognizing it as a full-stack engineering challenge grounded in physical constraints. This eBook explores how engineers are addressing challenges in energy efficiency, power density, real-time perception, and system reliability through advanced power architectures, wide-bandgap semiconductors, and intelligent sensing technologies that enable scalable, real-world AI deployment.
