AI Reports · MIT FutureTech · 2026-10-17 · Blog / commentary
Here's How to Make Deep Learning More Sustainable Neil Thompson, Silviu-Marian Udrescu, and Stephan Zhang propose substituting equations for neural network operations to improve efficiency and sustain
Deep learning's environmental and computational costs are growing as models become larger and more complex, and their energy consumption has surged. The researchers propose replacing some neural network operations with mathematical equations to reduce energy use and improve efficiency. This approach could make AI development more sustainable by cutting the resources needed to train large-scale models.