Medical device companies are increasingly evolving from hardware vendors to data-driven services organizations, unlocking new revenue opportunities and providing value-added insights to healthcare ...

Abstract: This article investigates the application of text analytics for defect detection and characterization in electronics manufacturing of printed circuit board assembly by analyzing structured ...

Oct 1 (Reuters) - Dataiku, an artificial intelligence data analytics startup, has hired investment banks to push ahead with an initial public offering, according to people familiar with the matter.

Adobe is warning its Analytics customers that an ingestion bug caused data from some organizations to appear in the analytics instances of others for approximately one day. Adobe disclosed the issue ...

LangGraph is a powerful framework by LangChain designed for creating stateful, multi-actor applications with LLMs. It provides the structure and tools needed to build sophisticated AI agents through a ...

Functions and example script to read data from NRCan CSRS-PPP output files and combine the single day solutions into a single multi-day solution with statistical testing. Applications range from ...

This paper introduces a classification framework to analyze central bank communications across four dimensions: topic, communication stance, sentiment, and audience. Using a fine-tuned large language ...

ABSTRACT: We solve numerically an eigenvalue elliptic partial differential equation (PDE) ranging from two to six dimensions using the generalized multiquadric (GMQ) radial basis functions (RBFs). Two ...

Abstract: Traditional text classification models, such as text kernels, primarily consider the syntactic aspects of text data. This paper introduces Topic-Weighted Kernels, a new text analytics ...

Social networks have become one of the most significant sources of diverse information that is hard to quantify numerically. Millions of people discuss stock prices daily, despite not being directly ...