These sources discuss Artificial Intelligence (AI) and Quantum Computing, exploring their capabilities, limitations, and potential. They highlight how AI, including neural networks, is being used to address global challenges like sustainable development by aiding in monitoring, prediction, resource efficiency, and data analysis. Simultaneously, the texts examine the increasing energy demands of AI, particularly concerning data centers, and propose solutions such as grid modernization, diversifying energy sources, and improving resource efficiency. Additionally, the articles touch upon the ethical and legal considerations of AI, including bias and copyright, and introduce quantum computing as a potentially transformative technology that could overcome current computational limits of AI through advancements like topological qubits and the development of new chips, with AI itself playing a role in improving quantum error correction and optimization.
Sources:
Explained: Neural networks | MIT News | Massachusetts Institute of TechnologywebHarnessing AI to accelerate the Sustainable Development Goalsdrive_pdfITI's Sustainable Technology Policy Guide:webMachine learning - WikipediawebMeet Willow, our state-of-the-art quantum chip - Google BlogwebMicrosoft's Majorana 1 chip carves new path for quantum computing - SourcewebQuantum computing - WikipediawebThe Development Of Artificial Intelligence And Its Ethical Implications - ForbeswebTypes of Machine Learning | IBMmore_vertYour Quick Guide to Quantum and AI: The F
