Unlocking TinyML - A Cost-Efficient Approach to Custom Microcontroller Design for AI Applications

Learn about cost-efficient custom microcontroller design for AI applications in this technical talk presented by Mohamed Shalan, Head of Design and EDA at Efabless Corporation. Explore an innovative ecosystem that makes custom ASIC development more accessible by eliminating traditional high Non-Recurring Engineering costs. Discover how open-source tools, proven methodologies, community support, and fabrication services can be leveraged to design and implement microcontrollers specifically optimized for Tiny Machine Learning applications. Gain insights into overcoming financial barriers while achieving superior performance and power efficiency in TinyML implementations through this 53-minute presentation focused on democratizing custom silicon development.