Edge AI Innovations #31

Edge AI Innovations #31

Hey, here are some of the note worthy news on Edge AI you won't want to miss:

  1. Texas Instruments (TI) has unveiled two new series of real-time microcontrollers (MCUs) designed to bring advanced edge AI capabilities to automotive and industrial applications. The TMS320F28P55x series of C2000? MCUs marks the industry's first portfolio of real-time MCUs with an integrated neural processing unit (NPU), enabling faster and more accurate decision-making at the edge. This integrated NPU allows for highly accurate and low-latency fault detection, crucial for enhancing safety and efficiency in applications like robotics and motor control. Additionally, TI has introduced the F29H85x series, built on their new 64-bit C29x digital signal processor core. This series offers an advanced architecture with integrated safety and security features, further expanding the possibilities for edge AI in demanding industrial environments.
  2. DMP , a leading provider of semiconductor intellectual property (IP), has announced the release of its new AI accelerator IP, designed to empower edge devices with high-performance machine learning capabilities. This innovative IP core boasts a highly efficient architecture optimized for low power consumption and high throughput, making it ideal for integration into a wide range of edge AI applications. The IP supports various neural network models and offers flexible configuration options, allowing developers to tailor its performance to specific application requirements. This development promises to accelerate the adoption of edge AI by providing a readily available, high-performance solution for integrating AI acceleration into edge devices.
  3. STMicroelectronics has launched a groundbreaking cloud-based tool called ST AIoT Craft, aimed at simplifying the development of AIoT (Artificial Intelligence of Things) applications. This innovative tool empowers both novice and experienced developers to effortlessly create and deploy AIoT applications on sensors equipped with a machine learning core. By providing an intuitive interface and streamlined workflow, ST AIoT Craft significantly reduces the barrier to entry for AIoT development, enabling even those with limited experience to build sophisticated AIoT projects in under an hour. This user-friendly platform marks a significant step towards democratizing AIoT development and fostering innovation in the rapidly evolving world of smart, connected devices.

This newsletter focuses on the technological advancements and innovations that can affect Edge AI engineers, hands-on developers and decision makers. There are more exciting Edge AI news on the horizon, stay tuned for the weekly reports.

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