Physical AI doesn't need a bigger brain. It needs a nervous system (www.techradar.com)

The recently discussed evolution of Physical AI emphasizes the critical necessity for these systems to adopt a nervous system-like architecture, rather than merely enhancing computational power. Drawing comparisons between elite human athletes and machines, the article highlights that tasks requiring instinctual responses—like balance and rapid decision-making—are far more complex for AI than traditional cognitive challenges. This insight drives home the point that effective physical AI must integrate specialized intelligence at various levels to respond promptly and safely in dynamic environments. Significantly, the conversation revolves around the development of distributed neural architectures that mirror biology, with dedicated layers for reasoning, coordination, and reflexes. This approach enables machines to understand and react to their environments within milliseconds, mirroring human-like responses essential for operations in unpredictable settings. The challenge lies in creating energy-efficient processors optimized for each intelligence layer while ensuring that such systems can be trusted to act predictably and safely—elements crucial for the successful integration of AI into everyday life. Only with this robust, trust-centric design can Physical AI hope to earn its place alongside humans in homes, industries, and urban landscapes.