From the perspective of technical implementation logic, this quantum convolutional network adopts an overall hybrid quantum-classical architecture design. First, classical data is mapped to the ...
The rise of artificial intelligence (AI) deep learning algorithms is helping to accelerate brain-computer interfaces (BCIs). Published in this month’s Nature Neuroscience is new research that shows ...
Researchers from Spain’s Valencia Polytechnic University have developed a novel method for forecasting the power generation of PV systems. Its novelty lies in developing a hyperparameter optimization ...
Gilead Sciences uses graph neural networks and graph databases to reveal hidden fraud networks and ensure patient's safety.
The Heisenberg uncertainty principle puts a limit on how precisely we can measure certain properties of quantum objects. But researchers may have found a way to bypass this limitation using a quantum ...
Every year, illegal loggers destroy over 10 million hectares of forest worldwide. Most of them get away with it because the damage is detected long after the ch ...
SHENZHEN, China, July 30, 2026 (GLOBE NEWSWIRE) -- (NASDAQ: HOLO), (“HOLO” or the "Company"), a technology service provider, launched a Deep Spiking Quantum Neural Network (DSQ-Net) for noisy image ...
The AI-driven fund has seen higher annual returns across a 10-year period compared with an industry benchmark, per the firm.
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