WiMi Releases Hybrid Quantum-Classical Neural Network (H-QNN) Technology for Efficient MNIST Binary Image Classification ...

Researchers have demonstrated, for the first time, that transfer learning can significantly enhance material Z-class identification in muon tomography, even in scenarios with limited or completely ...

The idea that quantum computing could transform medical artificial intelligence (AI) has gained momentum in recent years, driven by advances in cloud-accessible quantum platforms and hybrid computing ...

Medical researchers at Mass General Brigham say the self-supervised foundational model can identify inherent features from ...

As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...

AI isn't a single capability, and "using AI" isn't a strategy. The strategy is to know what we're building, why it matters ...

The agency’s 31% year-over-year surge in AI use cases includes work with predictive models and surveillance technologies that ...

What: New analyses using early observations from the European Space Agency’s Euclid mission examine how galaxy mergers trigger active galactic nuclei (AGN), luminou ...

Breakthrough AI foundation model called BrainIAC is able to predict brain age, dementia, time-to-stroke, and brain cancer ...

A recent white paper by a working group of the International Atomic Energy Agency (IAEA) provided a comprehensive overview of ...

MRI radiomics shows promise for rectal cancer risk stratification, accurately predicting tumour deposits and aiding treatment ...

The small and complicated features of TSVs give rise to different defect types. Defects can form during any of the TSV ...