Infineon Technologies Show AI Move _ New PSOC Edge MCU Family Heightened for ML Applications

Infineon Technologies, a leading semiconductor manufacturer, has announced the launch of its new PSOC Edge MCU Family, specifically designed to cater to the growing needs of machine learning applications. This move reflects the company's commitment to advancing artificial intelligence (AI) technology.

The PSOC Edge MCU Family from Infineon Technologies boasts a range of features that make it an ideal choice for machine learning (ML) applications. It offers a powerful blend of hardware and software capabilities, enabling developers to efficiently implement AI algorithms and enhance overall system performance.

One of the standout features of the PSOC Edge MCU Family is its exceptional power efficiency. By utilizing advanced power management techniques, the chips are optimized to deliver high performance while minimizing power consumption. This makes them an ideal solution for battery-powered devices and other energy-sensitive applications.

In addition to its power efficiency, the PSOC Edge MCU Family also offers high-performance computing capabilities. The integrated hardware accelerators improve the execution of complex AI algorithms, allowing for faster and more accurate ML computations.

Furthermore, the PSOC Edge MCU Family provides a comprehensive set of peripherals and interfaces, enabling seamless integration with various sensors and external devices. This flexibility facilitates the development of smart systems that can intelligently interact with their environment.

Infineon Technologies has also taken steps to ensure the security of its PSOC Edge MCU Family. The chips feature robust security measures, including hardware-based encryption and secure boot, to safeguard sensitive data and protect against potential cyber threats.

With the launch of the PSOC Edge MCU Family, Infineon Technologies aims to empower developers to easily deploy machine learning applications in a broad range of fields. This includes smart home devices, industrial automation systems, and autonomous vehicles, among others.

In conclusion, the introduction of Infineon Technologies' PSOC Edge MCU Family represents a significant milestone in the advancement of artificial intelligence. Its exceptional power efficiency, high-performance computing capabilities, and comprehensive set of peripherals make it an ideal choice for machine learning applications. With the added security features, developers can confidently integrate the PSOC Edge MCU Family into their projects, creating innovative and intelligent systems.

Infineon Technologies AG has launched its latest PSOC Edge MCU family, which includes the E81, E83, and E84 models designed for machine learning (ML) applications. These MCUs offer a wide range of performance, features, and memory options. The E81 utilizes ARM Helium DSP technology, while the E83 and E84 leverage the Arm Ethos-U55 micro-NPU processor, providing a 480x enhancement in ML performance compared to general Cortex-M systems. All three MCUs support the Infineon NNlite neural network accelerator for low-power ML applications. They are ideal for various applications such as Human Machine Interface (HMI) in appliances, industrial devices, robotics, wearables, smart home systems, and security systems.

The E83 and E84 models offer advanced capabilities for HMI implementations, including ML-based wake-up, vision-based position detection, and face/object recognition. The E84 series also includes a low-power graphics display with resolutions up to 1028x768. Additionally, all three models support voice/audio sensing for activation and control.

Infineon provides hardware design support for the PSOC Edge MCU family, including an evaluation base board with Arduino expansion header, sensor suite, BLE connectivity for provisioning, and Wi-Fi for smartphone and cloud connectivity. The family is supported by Infineon's ModusToolbox software platform, which offers a collection of development tools, libraries, and embedded runtime assets.

Steve Tateosian, SVP of Industrial MCUs, IoT, Wireless and Compute Business at Infineon, stated, "Infineon's innovative new PSOC Edge E8 series of devices utilize ML capabilities to compute responsive AI while balancing performance and power requirements and providing embedded security for connected home devices, wearables, and industrial applications. As a leading provider of MCUs, we are committed to delivering solutions that extend the capabilities of future IoT systems."

For more information, visit infineon.com/PSOCedge.

Infineon's ModusToolbox integrates Imagimob Studio, an Edge AI development platform, which offers end-to-end ML development capabilities, from data to deployed models. It provides starter projects and ready-made models, making it easy to get started. Together with PSOC Edge, Imagimob enables rapid building and deployment of state-of-the-art machine learning models for the edge.

Infineon Technologies has unveiled its new PSOC Edge microcontroller unit (MCU) family, specifically designed to enhance machine learning (ML) applications. The introduction of this new family represents Infineon’s venture into the field of artificial intelligence (AI).

The PSOC Edge MCUs are equipped with high-performance ML processors that can handle complex data processing tasks. These processors offer enhanced capabilities for pattern recognition, data analysis, and decision-making processes, making them ideal for applications involving ML algorithms.

Infineon Technologies has focused on ensuring the utmost power efficiency in the PSOC Edge MCU family. The low-power consumption of these MCUs is vital for AI applications, as it allows for longer battery life and increased overall efficiency.

Additionally, the PSOC Edge MCUs feature advanced hardware security mechanisms. With built-in security features, these MCUs provide a reliable platform for AI applications that require secure data processing and storage.

The PSOC Edge MCU family is designed with scalability in mind. Developers can select from a range of MCUs with varying processing power to meet the requirements of their specific ML applications. This flexibility allows for optimization of cost and performance.

Infineon Technologies has also focused on providing user-friendly development tools for the PSOC Edge MCU family. The company offers a comprehensive software development kit (SDK) that includes libraries and tools to facilitate the implementation of ML algorithms on these MCUs.

Overall, the new PSOC Edge MCU family from Infineon Technologies is poised to drive the advancement of AI and ML applications. With its high-performance processors, power efficiency, hardware security features, scalability, and developer-friendly tools, the PSOC Edge MCUs offer a robust platform for implementing ML algorithms in a wide range of applications.