Legal AI tools have moved from novelty to necessity. Firms have signed contracts, run pilots, and rolled out generative AI assistants with ...

Cequence Security, a pioneer in application security, today announced the launch of Intent Graph and Biometric Check, two new capabilities that extend the behavioral architecture Cequence has built on ...

Royalty OS v0.3 is a specification for transforming value event logs into policy-guided value graphs. It does not automatically decide value, ownership, compensation, or legal entitlement. Instead, it ...

DDSP is a library of differentiable versions of common DSP functions (such as synthesizers, waveshapers, and filters). This allows these interpretable elements to be used as part of an deep learning ...

Traffic flow forecasting is a cornerstone of Intelligent Transportation Systems (ITS), aiming to infer future traffic states from historical observations to support congestion mitigation, route ...

Intelligent Transportation Systems (ITSs) have become pivotal in urban traffic management by utilizing traffic flow prediction, which aids in alleviating congestion and facilitating route planning.

When it comes to fighting fraud in financial systems, traditional tools often fall short in detecting complex, hidden patterns—which is exactly where graph databases stand out. Designed to model ...

Abstract: Signal flow-graph techniques provide not only numeric but also symbolic expressions for network functions in terms of component parameters; these procedures are also useful in obtaining ...

The dual-channel graph convolutional neural networks based on hybrid features jointly model the different features of networks, so that the features can learn each other and improve the performance of ...

Accurate traffic prediction is crucial for an intelligent traffic system (ITS). However, the excessive non-linearity and complexity of the spatial-temporal correlation in traffic flow severely limit ...