With the rapid development of technology, artificial intelligence (AI) and open source software are gradually becoming the key forces driving the innovation of embedded systems. The integration of AI has brought a new era of intelligence to embedded devices, and the open source culture provides fertile ground for this transformation.
Many players gathered in Germany
Leading the new wave of AI embedded
At the just-concluded 2024 embedded world International Embedded Exhibition in Germany, embedded manufacturers from all over the world released their latest technologies and products at the conference site: embedded industry giants are actively embracing AI and open source, and the integration of AI has brought higher performance and lower costs to embedded devices.
At the conference, AMD announced the expansion of the AMD Versal™ Adaptive System-on-chip (SoC) portfolio, as well as the new Versal AI Edge family and Versal Prime family of adaptive SOCs that integrate pre-processing, AI inference and post-processing into a single device. Provides end-to-end acceleration for AI-driven embedded systems.
Image credit: AMD
v5453-277 The second generation is expected to increase TOPS per watt by up to three times compared to the original generation, while the new high-performance integrated Arm® CPU is expected to deliver up to 10 times more scalar computing power than the first generation Versal AI Edge and Versal Prime family of devices.
“The demand for AI embedded applications is exploding and driving the need for single-chip solutions that achieve the most efficient end-to-end acceleration within the power consumption and board area limits of embedded systems,” said Salil Raje, senior vice president and general manager of AMD’s Adaptive and Embedded Computing group.
Infineon showcased its robotics development platform, which provides developers with innovative and efficient robot design through a one-stop hardware and software integration solution, as well as AI-based alarm detection for autonomous vehicles with integrated MEMS microphones, MCUS and AI software, demonstrating its cutting-edge technology in improving road safety.
In the field of industrial innovation Infineon offers innovative solutions for Industry 4.0 applications with sensors and TinyML models that reduce costs and increase efficiency.
At the conference, Texas Instruments (TI) demonstrated how new ARM-based processors with integrated AI accelerators can enhance computing performance, support extremely complex human-machine interface systems running up to three displays at the same time, and demonstrated the application of highly integrated embedded processors in mobile robots.
“Advances in embedded processing are redefining the potential for industrial and automotive applications around the world,” said Amichai Ron, senior vice president, Embedded Processing Business Unit, Texas Instruments. Whether it’s a robotic arm, a software-defined car, or an energy storage system, a vast array of subsystems and functions are enabling more sensing, motor control, communication, and edge AI 5453-277 capabilities than ever before.”
Advantech, a global industrial Internet of Things brand manufacturer, announced a strategic cooperation with Qualcomm during the period to work together to bring change to the edge computing field. The partnership will enable Advantech to develop a range of advanced edge AI platforms, as well as a software development kit (SDK) specifically for edge AI applications. These platforms, which are both standardized and diversified, will drive the industry to rely more on intelligent and efficiency-intensive technologies in the future.
In addition, Advantech plans to integrate Qualcomm’s system single chip into edge intelligence platform related product lines, including AI modules, AI motherboards and AI edge systems.
Domestic MCU manufacturer Zhaoyi innovation, based on years of post-earthquake accumulation in the embedded field, carries a series of new products to the sea. Including the latest GD32F5 series high-performance MCU, GD32H7 series ultra-high performance MCU, GD32A503 series vehicle gauge MCU, GD32VW553 series dual-mode wireless MCU, GD32W515 series wireless MCU, GD25 SPI NOR Flash and other products and solutions, To provide new solutions for industrial, edge computing, automotive electronics and other fields.