Top Edge AI Trends in 2024

The main trends highlighted at the Embedded world 2024 included the

rise of Edge AI computing, growing demand for bundled software and hardware solutions, and the importance of integrating software and hardware for security purposes.??

Top EDGE AI Trends

1. NVIDIA's pivotal role in edge computing, particularly in deploying AI models at the edge.??

2. Efforts to simplify on-device AI inferencing processes for developers.??

3. The shift of AI model training to thick-edge locations like servers for enhanced computing power.??

4. Integration of NPUs in edge devices to boost AI inference capabilities.??

5. Localized autonomous decision-making through cellular-connected microand thin-edge AI.??

6. Implementing tiny AI/ML models in resource-constrained devices for autonomous decision-making.??

Growing demand for bundled software and hardware solutions??

1. Customers Demands Complete HW and SW Solutions:??

• Companies are increasingly seeking ready-made software to complement high-performance hardware, emphasizing the importance of software in the final product.??
• A partnering model is favored, where software service providers collaborate with chip manufacturers and end customers to create tailored solutions combining hardware and software.??

2. Intelligence Shifts to Edge AI:??

• The focus is shifting from cloud-based computing to Edge AI, with many manufacturers showcasing products featuring AI acceleration and machine learning capabilities.??
• Local data processing offers real-time utilization and energy efficiency and contributes to sustainable development while still leveraging the cloud for meaningful data processing.??

3. Security Requires Hardware and Software Solutions:??

• The need for robust cybersecurity solutions increases as IoT devices become more software defined.??

• A combination of hardware-rooted security and software-based solutions is essential to address cybersecurity risks effectively.??

4. Asset Tracking Solution:??

An accurate asset tracking solution based on Real-Time Location System (RTLS) technology is presented, offering precise tracking for various environments like warehouses and stores. Utilizing Bluetooth Low Energy (BLE) for communication between tags and locators was well-received due to its superior accuracy and energy efficiency compared to traditional Bluetooth and UWB technologies.??

The Future of Embedded Software Development

Embedded Software Trends in 2024 - Key Highlights are as follows:??

• Embedded Security: There are growing concerns about the security of increasingly complex and connected embedded systems. Approaches and tools, including adopting a DevSecOps process and static analysis tools, are recommended to enhance security.??
• Using AI in Embedded Software Development: Integrating AI/ML technologies into the Software Development Life Cycle (SDLC), including applications in code generation, debugging, and code review. Tools like Github CoPilot offer instant code suggestions to improve workflow and productivity.??
• Moving Toward Modern Programming Languages: There is a shift towards newer programming languages like Rust and C++, with C++ being more adopted in embedded development. The automotive industry shows a significant use of C++ for software development, and Rust's adoption is starting to grow.??
• Adoption of Newer C++ Standards: Wider adoption of the latest C++ standards, including C++17 and C++20, which promise better performance, cleaner code, and enhanced safety and security, is expected. The publication of MISRA C++:2023 and its integration with AUTOSAR C++14 guidelines are also highlighted.??

The Impact and Future Trajectory?

The strategic integration of edge AI within IoT systems signifies a transformative shift towards more intelligent, responsive, and autonomous operations across various sectors.??

By facilitating real-time decision-making, enhancing data privacy, and reducing dependency on centralized cloud infrastructure, edge AI is set to reshape the future of embedded systems.??

As we venture into this exciting future, the developments witnessed at Embedded World 2024 serve as a beacon, guiding the way towards a more intelligent and interconnected world. The journey of edge AI is just beginning, and its full potential is yet to be unleashed.?