FPGAs serve as security guardrails for physical AI applications
Lattice Semiconductor's VP of security business, Eric Sivertson, discusses how FPGAs can act as deterministic guardrails for robotic systems. He explains the importance of security in physical AI and how FPGAs provide a reliable foundation. The podcast also touches on recent industry news.
Sivertson, who leads security at Lattice Semiconductor, brings over three decades of experience in embedded systems and reconfigurable computing to the discussion. The podcast's main segment centers on his view of FPGAs as deterministic guardrails for robotic systems.
The episode also reviews recent industry developments, including Deere's new AI features, NVIDIA's planned acquisition of Hugging Face, and Skild AI's robot foundation model. These items highlight the rapid evolution of physical AI technologies.
The use of FPGAs as security guardrails could influence how industries deploy autonomous robots. Manufacturers and operators may benefit from a more predictable hardware-based defense against cyber threats, potentially reducing the risk of malicious interference in physical operations. This could also shape future safety regulations for robotics in shared human environments, affecting workers and consumers who increasingly interact with automated systems.