AI, Machine Learning and Renewable Energy - Pexapark

His opinion lends credence to the assumption made in this article, namely that renewable energy, artificial intelligence (AI) and machine learning (ML) are not only intricately linked, but that'smart' renewable energy must be considered the most sustainable way forward for our energy needs. And it will increasingly continue to do so. Along with allied technologies such as ML, deep learning and advanced neural networks, AI has transformative potential for the global energy sector. An important caveat regarding the fossil fuel-renewable energy dichotomy will also be discussed at article's conclusion. ML is already entrenched in our everyday lives, from smart phone assistants like Apple's Siri or Samsung's Bixby, to voice and image recognition systems. More important even will be ML's ability to assist in tackling some of the world's most pressing physical and logistical problems, including that pertaining to the full potential of renewable energy.