neuralenabled
Neuralenabled is a contemporary descriptor used to characterize systems, devices, or services that rely on neural network technology to enable, enhance, or adapt their capabilities. It is not a formal technical standard but a shorthand found in technical literature, product summaries, and marketing materials to indicate neural processing is involved.
Applications span multiple domains, including consumer electronics, robotics, healthcare devices, autonomous systems, and industrial automation. In
Technologies commonly associated with neuralenabled systems include neural networks and deep learning models, neuromorphic hardware, edge
Considerations for neuralenabled systems include performance trade-offs, such as computational and energy demands, latency, and reliability.
Related concepts include artificial neural networks, machine learning, neuromorphic computing, brain-computer interfaces, and edge AI. As