How to Make Physical AI

​In an era dominated by large language models and virtual assistants, the next frontier of innovation is Physical AI. But how do you move beyond the screen and into the real world? Join seasoned PCB fabber and founder Jennie for an intensive webinar that demystifies the transition from code to concrete hardware.

​What You’ll Learn:

• ​The Hardware-First Mindset: Why the foundation of every great "Physical AI" starts with the PCB.

• ​Fabbing for Intelligence: Proven strategies for designing and fabricating boards that can handle the low-latency demands of real-time AI.

• ​Bridging the Gap: How to integrate complex neural networks with physical sensors, motors, and feedback loops.

• ​Prototyping at Speed: A look inside the founder’s toolkit for rapid iteration and hardware fabrication.

​Who Should Attend:
This session is designed for AI researchers, hardware engineers, and product founders who want to understand the physical architecture required to bring artificial intelligence to life in robotics, medical devices, and smart infrastructure.

​Jennie is a pioneering technologist and entrepreneur at the intersection of hardware engineering and artificial intelligence. As a seasoned PCB (Printed Circuit Board) founder and fabber, she has spent over a decade bridging the gap between digital intelligence and physical execution. Her expertise lies in the specialized "fabbing" process, where she transforms complex AI models into tangible, high-performance hardware.

​Before joining 360 Physical Therapy (360physical.ai) to lead their Physical AI initiatives, Jennie founded and scaled hardware ventures focused on rapid prototyping and advanced circuitry. She is widely recognized for her hands-on approach to "Physical AI"—the science of giving AI a body—ensuring that machine learning algorithms can interact seamlessly with the physical world through custom-engineered sensors and actuators.