Mouser and onsemi release the joint eBook "Powering and Sensing AI: From Cloud Infrastructure to Physical Autonomy". The publication examines how advances in power semiconductors, sensing technologies and system architectures are enabling the next generation of artificial intelligence applications.
In addition to experts from onsemi, the eBook features contributions from specialists at Amazon, Google, Meta and Tesla. It covers AI applications spanning hyperscale data centers, industrial automation, robotics and autonomous systems.
One focus of the Mouser and onsemi publication is the increasing power demand of AI computing. As processing densities continue to rise, higher-voltage power architectures and wide-bandgap semiconductors such as silicon carbide (SiC) and gallium nitride (GaN) are becoming increasingly important. According to the authors, these technologies can improve energy efficiency, reduce cooling requirements and support higher power densities in AI infrastructure.
The eBook also highlights the role of sensing technologies in autonomous and industrial AI systems. Beyond machine vision, modern AI platforms increasingly combine image, force, torque, position and proximity sensors to interact with their environment. Improved sensing quality can reduce processing requirements, lower power consumption, shorten response times and improve decision-making at the edge.
Additional topics include intelligent edge sensing, sensor fusion, low-latency system architectures for robotics and industrial automation, and the integration of sensing, power delivery and AI processing.
The publication also presents onsemi solutions designed for AI applications, including the company's EliteSiC silicon carbide portfolio, Hyperlux image sensors, the Treo analog and mixed-signal platform, industrial connectivity technologies and advanced power management solutions.
To download the eBook, visit https://resources.mouser.com/manufacturer-ebooks/onsemi-powering-and-sensing-ai-from-cloud-infrastructure-to-physical-autonomy