Global semiconductor company Analog Devices, Inc. (ADI) has set a new standard for AI-based embedded development and demonstrated its technological leadership in industrial automation, autonomous driving, and robotics.

On the 4th, ADI officially announced 'CodeFusion Studio™ 2.0', a major upgrade to its open source embedded development platform.

This update focuses on simplifying and accelerating the development of artificial intelligence (AI)-based embedded systems, providing a developer-centric, integrated toolchain.

CodeFusion Studio 2.0 supports an end-to-end AI workflow, including importing custom AI models, model validation, and performance profiling.

This enables rapid deployment across ADI's entire product line, from low-power edge devices to high-performance DSPs.

Specifically designed based on Microsoft's Visual Studio Code, it provides a familiar development environment and shortens product launch times with built-in compatibility checkers and optimization features.

This release introduces a new modular framework based on Zephyr, supporting runtime performance analysis and layer-by-layer analysis of AI/ML processing tasks. This facilitates integration between heterogeneous systems and significantly reduces complexity by eliminating toolchain disconnects.

It also includes a System Planner and integrated configuration tools that support multicore applications and a wide range of device compatibility, enhancing development efficiency across the ADI hardware ecosystem. Integrated GDB debugging and core dump analysis capabilities also accelerate troubleshooting.

With this announcement, ADI expands its digital roadmap and accelerates the implementation of 'physical intelligence' that recognizes and infers the physical environment.

“Our goal is to build an ecosystem that allows developers to optimize, deploy, and evaluate AI models without having to access the board directly,” said Paul Golding, vice president of AI and robotics at Edge.