Representation learning lies at the core of modern artificial intelligence, enabling neural networks to uncover meaningful, ...

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 ...

Abstract: Predicting vessel trajectories and detecting anomalous behaviors are fundamental yet challenging tasks in the maritime domain, primarily due to the dynamic and unstructured nature of the ...

We present the Evolving Graph Fourier Transform (EFT), the first invertible spectral transform that captures evolving representations on temporal graphs. We motivate our work by the inadequacy of ...

We propose a novel deep learning framework, STGCN, to tackle time series prediction problem in traffic domain. Instead of applying regular convolutional and recurrent units, we formulate the problem ...

Decoding emotional states from electroencephalography (EEG) signals is a fundamental goal in affective neuroscience. This endeavor requires accurately modeling the complex spatio-temporal dynamics of ...

The Canton Network said that Franklin Templeton’s Benji Technology Platform is now live on its blockchain, expanding the asset manager’s presence in regulated digital markets and giving institutional ...

Copper Research says usage of the Canton Network, a blockchain built for regulated finance, has quietly surged, with validator activity now including major U.S. exchanges alongside banks and ...