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From within the article. Very nice plug. That's two nuggets in one day @Rocket577
2. A new AI design cycle for embedded devices is emerging
The embedded community is getting ready for hardware and devices supporting AI/ML execution at the edge. This means massive hardware design changes and complexity and an increased software stack complexity. AI hardware development company BrainChip showcased its new Akida AI processor IP that integrates with Arm’s new Cortex-M85 for handling advanced machine learning workloads at the edge. Chipmaker Renesas is one of the clients of Akida AI that showcased AI running on Arm Cortex-M85. AI-based machine vision applications are one of the driving forces of AI adoption at this point. Adlink Technologies and Vision Components, for example, showcased their respective new AI camera solutions that are capable of deploying large AI algorithms on their equipment.