In this regard, Microsoft Research Asia has proposed a novel paradigm for organizing text data called DELT (Data Efficacy in ...

In this regard, Microsoft Research Asiahas proposed a brand new text data organization paradigm called DELT(Data Efficacy in LM Training). By introducing data sorting strategies, it fully taps into ...

Ted Hills hosted a workshop at the recent Data Architecture Summit 2018 Conference about data modeling for relational and NoSQL databases. He said that the NoSQL movement helped the database ...

In this webinar, we’ll explore how the Truveta Language Model (TLM)—a multi-modal AI model trained on EHR data—unlocks ...

This article talks about the models and concepts of Big Data, using the 3 V's mentioned by Doug Laney, a pioneer in the field of data warehousing.

Currently, the OMOP CDM does not adequately cover cancer diagnoses, treatments, and episodes. There is also no comprehensive cancer data model or terminology available in the public domain that would ...

Key Concept: Transfer Learning Transfer learning addresses data scarcity and resource limitations by allowing a model trained on one task (e.g., stock market prediction) to apply its learned ...

What is Erwin? Erwin is a Data Modeling and Database Design Application Case Tool working on Windows. CA ERwin DM creates a blueprint for the enterprises to work on a design solution. ERwin Data ...