👉 EnB (Embedded Neural Engineering) is an innovative approach that integrates neural engineering with embedded systems, focusing on developing intelligent, compact, and efficient hardware-software co-designs for real-world applications. This methodology leverages advanced neural networks to process and analyze data directly on embedded devices, reducing latency, power consumption, and reliance on cloud computing. By embedding AI capabilities within the hardware itself, EnB enables smarter, more responsive devices that can operate autonomously in various environments, from healthcare monitoring to autonomous vehicles. This synergy between neural engineering and embedded systems aims to democratize AI, making sophisticated cognitive functions accessible and practical for a wide range of applications and devices.
