Discover how credibility theory helps actuaries use historical data to estimate risks and set insurance premiums; learn how ...

Engineers at the University of California have developed a new data structure and compression technique that enables the ...

Companies investing in unified, managed and rich data layers will drive innovation in the coming decade. Through these ...

Abstract: Knowledge Graphs (KGs), with their intricate hierarchies and semantic relationships, present unique challenges for graph representation learning, necessitating tailored approaches to ...

As for the AI bubble, it is coming up for conversation because it is now having a material effect on the economy at large.

anthropomorphism: When humans tend to give nonhuman objects humanlike characteristics. In AI, this can include believing a ...

This is the official repository for The Quest for Generalizable Motion Generation: Data, Model, and Evaluation. The repo provides a unified framework for generalizable motion generation, including ...

Abstract: Scene graph generation (SGG) plays an important role in the intelligence of social things (IoST) framework by extracting structured semantic representations from social device data, thereby ...

FinD3 implements a Dual 3D State Space model augmented with a dynamic hypergraph for financial stock prediction. This repo provides the code, data provider utilities, model definitions, experiment ...

Renowned AI scientist Yann LeCun confirmed on Thursday that he had launched a new startup — the worst-kept secret in the tech world — though he said he will not be running the new company as its CEO.