(EF14-11) Supporting your AIoT Anywhere with Arm-based GD32 Microcontrollers
- at -
- Power Efficiency Stage (A5.351)
- Language: English
- Type: Keynote
Lecture description
Presented by Andreas Erlebach, Principal Field Application Engineer, GigaDevice
GigaDevice's Arm-based GD32 microcontrollers are used in different applications. In combination of GD32 hardware and inhouse & 3rd part tools, the AIoT (Artificial Intelligence of Things) can now be deployed into endpoint with affordable cost. Products are widely used in various applications including new energy, industrial automation, smart home, consumer electronics, etc. During this session we will introduce:
- GD32H7 high performance MCU, including one 600MHz Arm ® Cortex®-M7 core with arithmetic co-processor.
- GD32W515 wireless MCU, including one 180MHz Arm® Cortex®-M33 core with TrustZone®, performing as lost cost endpoint AI chip.
- GD32VW553 wireless module with Matter solution, offering Wifi6+BLE5.2 in one chip, aims to support different application scenarios, including smart home, industrial internet and communication gateways.
- -(EF14-1) Edge AI and The Age of Context-Aware Computing
- Embedded systems
- Semiconductors
- Sustainability and circular economy
- AI & Machine Learning
- -(EF14-2) What is the definition of AI and what does this mean for the future?
- Embedded systems
- AI & Machine Learning
- IOT & 5G/6G
- -(EF14-3) Building Intelligent Systems with Infineon's Hardware&Software for Audio Event Detection, Radar Gestures, and others
- Embedded systems
- Sensor technology
- AI & Machine Learning
- -(EF14-4) Introducing the new G32R50X real-time control MCU/DSP based on arm cortex M52 with helium technology
- Embedded systems
- Semiconductors
- AI & Machine Learning
- IOT & 5G/6G
- -(EF14-5) AI in Electronic Product Development: Separating Reality from Hype
- Embedded systems
- Semiconductors
- AI & Machine Learning
- Electronic Design (ED/EDA)
- -(EF14-6) Machine-learning based Anomaly and Intrusion Detection for Cyber-Resilience in Microcontrollers
- Embedded systems
- Semiconductors
- AI & Machine Learning
- IOT & 5G/6G
- -(EF14-7) Overcoming Challenges in Embedding Magnetic Sensing Solutions for Safe and Intelligent Applications
- Embedded systems
- Sensor technology
- IOT & 5G/6G
- -(EF14-8) Multi-instance machine learning models on limited hardware resources
- Embedded systems
- Semiconductors
- AI & Machine Learning
- IOT & 5G/6G
- -(EF14-9) Panel Discussion: From sensor to action - making edge AI work in automation
- Embedded systems
- Sensor technology
- AI & Machine Learning
- IOT & 5G/6G
- -(EF14-10) Squaring the circle of coming European IoT security regulation with STM32 Microcontrollers
- Embedded systems
- Cyber Security
- Semiconductors
- IOT & 5G/6G