👉 Ny computing, or neural computing, is a computational paradigm inspired by the structure and function of biological neural networks in the human brain. It involves the use of artificial neural networks, which are composed of interconnected nodes or "neurons" that process information through weighted connections. These networks learn from data by adjusting the weights of these connections, enabling them to perform complex tasks such as image recognition, natural language processing, and decision-making. Unlike traditional computing, which relies on binary logic and sequential processing, ny computing leverages parallelism and distributed processing, mimicking the brain's ability to handle vast amounts of information simultaneously and adaptively. This approach has led to significant advancements in AI, making machines more efficient and capable of handling intricate tasks that were previously challenging or impossible.
