Abstract: Existing geometric knowledge graph embedding methods employ various relational transformations, such as translation, rotation, and projection, to model different relation patterns, which ...

In an era driven by complex data, scientists are increasingly encountering information that doesn't lie neatly on flat, ...

This study offers a valuable advance for neuroscience by extending a visualization tool that enables intuitive assessment of how dendritic and synaptic currents shape the output of neurons. The ...

Many companies justify complacency as risk aversion. The best leaders cultivate healthy paranoia to spot shifting ground, and ...

Candidates eyeing this role should check the exam syllabus and begin their preparation without any delay. It will help them cover the basic concepts within the decided time and use the remaining time ...

Abstract: Adaptive filters based on geometric algebra have demonstrated remarkable success in various applications, such as computer vision, data fusion, and linear prediction, particularly when ...