👉 Neural Distributed Engineering (NDE) is an advanced approach that leverages the principles of neural networks and distributed computing to solve complex engineering problems. It involves designing, implementing, and optimizing systems that integrate multiple neural networks across distributed computing environments to enhance performance, scalability, and robustness. NDE focuses on creating adaptive, self-learning models that can process vast amounts of data in real-time, making it particularly useful in areas like robotics, autonomous systems, and smart infrastructure. By distributing computational tasks across multiple nodes, NDE reduces latency, increases fault tolerance, and enables more efficient resource utilization, ultimately leading to smarter and more responsive engineering solutions.
