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A key question in artificial intelligence is how often models go beyond just regurgitating and remixing what they have learned and produce truly novel ideas or insights. A new project from Google ...
Algorithm design and scientific discovery often demand a meticulous cycle of exploration, hypothesis testing, refinement, and validation. Traditionally, these processes rely heavily on expert ...
Abstract: The rapid development of information technology has brought tremendous pressure to data transmission and compression, so data compression has great significance. Data compression before ...
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Implementation of variational Quantum Machine Learning (QML) algorithms on Noisy Intermediate-Scale Quantum (NISQ) devices is known to have issues related to the high number of qubits needed and the ...
Abstract: Image Compression is used to decrease the number of bits required to store and transmit images without any measurable loss of information. The impact of using different lossless compression ...