Calculations show that injecting randomness into a quantum neural network could help it determine properties of quantum ...
Artificial intelligence has captured headlines recently for its rapidly growing energy demands, and particularly the surging ...
MicroCloud Hologram Inc. (NASDAQ: HOLO), ("HOLO" or the "Company"), a technology service provider, released learnable quantum spectral filter technology for hybrid graph neural networks. This ...
By combining AI algorithms with microcontroller based edge processing, the system claims to deliver real time and accurate ...
Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...
Abstract: Neural networks (NNs) have been widely adopted for state of charge (SOC) estimation due to their high-efficiency nonlinear mapping and adaptive and self-learning abilities. However, their ...
Abstract: Early and accurate detection of melanoma remains a critical challenge in medical imaging. Convolutional Neural Networks (CNNs) have demonstrated superior classification performance, often ...
Large ML models and datasets have necessitated the use of multi-GPU systems for distributed model training. To harness the power offered by multi-GPU systems, it is critical to eliminate bottlenecks ...
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