On the 10th, Mouser Electronics announced that it is supporting engineers in solving key challenges they face during industrial edge AI deployment through its AI resource hub and power management resource hub.

Both hubs regularly update content including articles, e-books, white papers, and product case studies, and provide direct pathways to edge AI and power management components with available inventory.

Edge AI is rapidly expanding from the laboratory to production facilities.

As cases increase where embedded systems must perform real-time analysis, predictive maintenance (PdM), and anomaly detection in the field without cloud connectivity, the fact that inference workloads generate dynamic current profiles different from conventional embedded designs is emerging as a new power design challenge.

The AI resource hub provides materials covering △TinyML implementation in low-power microcontrollers (MCU) △edge AI development workflows △predictive maintenance and smart sensing applications △AI-accelerated MCUs for industrial IoT (IIoT).

The power management resource hub complements this by providing guidance on power subsystem implementation, including PMIC multi-rail sequencing and power failure detection.

For remote asset and autonomous machinery environments where stable primary power is difficult to secure, the hub also contains materials on MPPT-based solar control, standalone industrial automation, and DC microgrid topology.

The objective is to support balanced design among inference frequency, battery life, and harvesting energy.

Additionally, when designs transition from prototype to production, the hubs include content on △SiC-based power modules △battery energy storage architectures △high-frequency magnetic components to address power quality issues such as spikes, brownouts, and load transients that may occur.

The Mouser AI resource hub can be found at resources.mouser.com/artificial-intelligence, and the power management resource hub at resources.mouser.com/power-management.