Carbon Neural Networks

Carbon Neural Networks (CNNs) refer to a type of artificial intelligence modeled to operate efficiently while considering carbon footprints and environmental impact. Unlike traditional neural networks, which can consume significant energy, CNNs aim to minimize energy usage during training and operation. They leverage advanced algorithms and hardware designed from materials that are more sustainable or energy-efficient. By integrating environmental considerations into their design, CNNs contribute to reducing the carbon footprint of machine learning, promoting a more sustainable approach to technology development while maintaining performance in tasks like image and speech recognition.