For decades, engineers have utilized Petri nets to develop automated systems with specific functional requirements or ...

Learn how GraphRAG transforms unstructured text into structured data, revolutionizing AI retrieval with deeper insights and ...

"A large language model can’t smell a rose, touch the petals of a daisy or walk through a field of wildflowers,” said the ...

The strategy for encoding Petri nets as chained linear lists involves two structures: one for PList placements and one for TList transitions. This is the orthogonal representation of chained linear ...

Buttons have been pressed to electronically distribute preferences for the Senate in Victoria, the ACT, Queensland and ...

One of the most advanced solutions is dynamic graph representation learning, which embeds structural and temporal correlations into a representative vector for each node or subgraph. Existing models ...

The international watchdog classifies democratic performance into four main categories: Representation, rights, rule of law and participation–with free and fair elections and parliamentary oversight ...

Week 21 of the Circle Chart saw powerhouse performances from Rosé, 10cm, RIIZE and other major artists who dominated across ...

Although Windows 11 includes a slew of built-in tools, many of them fall short, either lacking essential features or ...

Objectives To identify and assess the social support interventions provided to caregivers of older adults with dementia. By ...

Second, we model the data backup as an attributed tree graph, learn a new feature representation of the nodes with graph neural networks, and train a classifier based on the new features. Third, with ...

Neural decoding is the study of what information is available in the electrical activity (action potentials) of individual cells or networks of neurons. Studies of neural decoding aim to identify ...