As the era of artificial intelligence (AI) advances, the maturation of cutting-edge technologies has propelled the smart evolution of household appliances, consumer electronics, and various terminal devices, deeply embedding them into our daily lives. Microcontrollers (MCUs) play a pivotal role in enabling these devices to possess intelligent capabilities. On June 13, ARTERY was invited to participate in the “MCU Innovation Technologies and Applications in the AI Era Forum” hosted by New Electronics Technology Magazine at the GIS NTUT Convention Center in Taipei. The event brought together hundreds of technical experts from various industries. As smart terminal technologies become increasingly sophisticated, AT32 MCUs have successfully entered the AIoT domain, offering high performance, reliability, and cost-effectiveness, which open up diverse market applications.
ARTERY Delivers Captivating Keynote on “Decoding the AIoT Smart Terminal Era with AT32 MCUs”
During the forum, Mr. Du Libo, Director of Product and Marketing at ARTERY, delivered a keynote titled “Decoding the AIoT Smart Terminal Era with AT32 MCUs.” He highlighted ARTERY’s five major AT32 MCU product lines—Low-Power, Value-Line, Mainstream, High-Performance, and Wireless Series—detailing the unique features and functionalities of each model. Mr. Du also shared insights into the evolving relationship between AI and MCUs, and elaborated on ARTERY’s strategic AT32 Edge AI applications.
In his presentation, Mr. Du noted that the evolution of devices has progressed from the microcomputer era to today’s 5G, IoT, and AI-powered smart networks, enabling seamless control over advanced technology systems. He emphasized that only through the intelligent integration of terminal devices can the full potential of AIoT be realized. Given the complexity of Edge AI devices—which demand varying levels of IC performance, multiple communication interfaces, and wireless transmission functions—MCUs are uniquely positioned to meet these challenges due to their high integration, cost-efficiency, and versatile specifications (including CPU, Flash, SRAM, Analog, Wireless, and Connectivity).
Unlike high-end CPUs, GPUs, and APUs, which often face issues like long development cycles, bulkiness, and overheating, AT32 MCUs address these limitations by offering optimized performance and flexible functionality. Additionally, ARTERY integrates TensorFlow Lite libraries for mobile devices, supporting the conversion of TensorFlow models across various equipment. This approach streamlines the solution of machine learning problems, enabling trained models to be efficiently ported to embedded MCUs. This significantly reduces the resources required for R&D, shortens development timelines, accelerates time-to-market, and fulfills the demands of smart terminal integration
Through this engaging keynote, ARTERY provided attendees with valuable insights into the innovative application opportunities for AT32 MCUs in the AIoT market.