Infineon’s PSOC™ Edge MCU: Advancing AI at the Edge with Machine Learning Acceleration

The Rise of AI at the Edge: Infineon’s PSOC™ Edge MCU

In today’s fast-paced world, technology is constantly evolving to meet the demands of consumers and industries alike. One of the most significant advancements in recent years is the integration of artificial intelligence (AI) into everyday devices. AI has become a powerful tool for designers and engineers, allowing them to create more efficient and effective products.

One area where AI is making a big impact is at the Edge, where devices are able to process data locally rather than relying on cloud-based servers. This approach offers many advantages, including lower latency, increased privacy and security, and reduced reliance on expensive communication mediums. It also allows for more customization and optimization of algorithms tailored to specific device capabilities and constraints.

However, not all microcontrollers (MCUs) are suited for running AI at the Edge. Many have limitations such as limited processing power, memory constraints, and power inefficiency. To address these challenges, semiconductor vendors like Infineon are developing more advanced MCUs with built-in AI accelerators and improved capabilities for handling AI workloads.

Infineon’s PSOC™ Edge MCU is a prime example of this innovation. This machine-learning-enhanced microcontroller family offers designers the ability to deliver unmatched user experiences for next-generation devices. With built-in machine-learning hardware acceleration and a comprehensive peripheral set, the PSOC™ Edge MCU is well-suited for a wide range of consumer and industrial applications.

The PSOC™ Edge series includes three devices, each designed to meet specific AI at the Edge requirements. The PSOC™ Edge E81 is aimed at entry-level ML applications, while the PSOC™ Edge E83 and E84 offer more advanced capabilities for complex AI/ML use cases. These devices are supported by Infineon’s ModusToolbox™ software and Imagimob Studio AI solution, making it easier for developers to create, train, and deploy AI models on Edge devices.

Infineon’s acquisition of Imagimob, a developer of AI and ML algorithms, further strengthens its position in the AI at the Edge market. With a long history in manufacturing and a large library of complimentary components, Infineon is well-equipped to handle all your AI at the Edge needs.

To learn more about Infineon’s PSOC™ Edge MCU and how it can benefit your next design project, visit their website or contact them directly. The future of AI at the Edge is here, and Infineon is leading the way.