Relational Event Models (REMs): Statistical models that analyze sequences of events in social interactions, focusing on the timing and order of these events rather than static relationships.

Relational turbulence refers to the emotional and communicative disruptions that can occur in romantic relationships, particularly during times of transition or stress. Recent research has delved ...

Prior Labs secures $9.3 million in 'preseed' funding to build foundation models for handling this common, but complex data ...

To gain competitive advantage from gen AI, enterprises need to be able to add their own expertise to off-the-shelf systems. Yet standard enterprise data stores aren't a good fit to train large ...

3D Structure,Chemical Data,Chemical Properties,Combinatorial Library,Data Storage,Laboratory Bench,Metadata,Model Building,Points Of Compounds,Quantitative Structure–activity Relationship,Quantitative ...

In today data-driven trading environment managing stock databases effectively is a cornerstone of successful investment strategies Traders rely on sophisticated database systems to organize analyze an ...

Malloy is an experimental language for describing data relationships and transformations. It is both a semantic modeling language and a querying language that runs queries against a relational ...

The relationship among different longitudinal prediction models is captured using a common feature set among the multiple prediction models at different time points. Our experimental results based on ...

Even as large language models have been making a splash with ChatGPT and its competitors, another ... [+] incoming AI wave has been quietly emerging: large database models. Even as large language ...