Explained: Generative AI’s environmental impact
Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.
Rapid development and deployment of powerful generative AI models comes with environmental consequences, including increased electricity demand and water consumption.
MIT Department of Mechanical Engineering grad students are undertaking a broad range of innovative research projects.
MIT Sea Grant students apply machine learning to support local aquaculture hatcheries.
Matt Shoulders will lead an interdisciplinary team to improve RuBisCO — the photosynthesis enzyme thought to be the holy grail for improving agricultural yield.
J-WAFS researchers are using remote sensing observations to build high-resolution systems to monitor drought.