Moving from Red AI to Green AI, Part 1: How to Save the Environment and Reduce Your Hardware Costs

Machine learning, and especially deep learning, has become increasingly more accurate in the past few years. This has improved our lives in ways we couldn't imagine just a few years ago, but we're far from the end of this AI revolution. Cars are driving themselves, x-ray photos are being analyzed automatically, and in this pandemic age, machine learning is being used to predict outbreaks of the disease, help with diagnosis, and make other critical healthcare decisions. And for those of us who are sheltering at home, recommendation engines in video on-demand platforms help us forget our troubles for an hour or two. This increase in accuracy is important to make AI applications good enough for production, but there has been an explosion in the size of these models.