Researchers propose in "Here’s How to Make Deep Learning More Sustainable" highlights the growing environmental and computational costs of deep learning. As AI models, especially deep learning ones, have grown in size and complexity, their energy consumption has surged.
The article explores a novel approach by researchers who propose substituting mathematical equations for some neural network operations to reduce energy consumption and improve efficiency. This innovative strategy could make AI development more sustainable by significantly cutting down the resources required for training large-scale models.
Read more at IEEE Spectrum.