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It claims this machine learning and IoT-based approach will dramatically reduce errors in manufacturing
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A report from LYTT warns that investment in clean assets without new technology could hinder energy firms’ net zero goals
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Artificial intelligence (AI) and recycling-focussed robotics firm AMP Robotics deploys computer vision and machine learning to sort waste
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The project aims to help prioritise repairs, reduce leaks and end supply interruptions
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The U.S. Department who faces increasing climate change related challenges on its ports, training facilities and landing strips has turned to artificial intelligence for help
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In this case, a question of great interest will be: how will these AI systems interact with their end users in the energy management field?
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One of the proposals is the development of machine learning solutions to improve and extend diagnostic and prognostic capabilities for predictive maintenance of plants
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Artificial Intelligence (AI) is currently perceived in many ways. Some believe the Hollywood view of the self-aware, fully thinking autonomous entity, that will take over the world. Others that is no more than a complex, rules-based search engine that clever programmers have disguised as your new friend. They’re both wrong.
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It worked with The Alan Turing Institute to develop the AI prediction methods that have so far helped deliver a 33% improvement in solar forecasting
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The programme aims to incorporate AI into the engineering design processes for energy technologies
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