Why MongoDB thinks better retrieval — not bigger models — is the key to trustworthy enterprise AI

As agentic and RAG systems move into production, retrieval quality is emerging as a quiet failure point — one that can ...
C&EN

Overcoming Small Data Limitations in Materials Informatics: Interpretable Predictive Modeling of Optical Limiting Efficiency Using the CORRELATO Algorithm

Russian Academy of Sciences, FSBIS Institute of Physiologically Active Compounds of the Russian Academy of Sciences, 1, Severny Proezd, Chernogolovka 142432, Russian Federation Russian Academy of ...
C&EN

A Data-Driven Symbolic Regression Framework for Modeling and Multiobjective Optimization of a Microbial Fermentation System

Department of Chemical Engineering, Indian Institute of Technology Delhi, New Delhi 110016, India Yardi School of Artificial Intelligence, Indian Institute of Technology Delhi, New Delhi 110016, India ...
AOL

AT&T introduces Geo Modeler AI system to boost network reliability during extreme weather

Extreme weather events can put stress on mobile networks, causing people to lose connectivity at the worst possible time — in the midst of natural disaster. So, to improve network reliability and ...
TechRepublic

data modeling

Data modeling refers to the architecture that allows data analysis to use data in decision-making processes. A combined approach is needed to maximize data insights. Data analysts can help build ...
IEEE

Fast Forward Modeling of 3-D Gravity Data for Curved Hexahedral Grid Based on Neural Network

Abstract: Unstructured grids are widely used in the processing and interpretation of geophysical data with terrain due to their excellent ability to simulate shape. Among them, the efficiency of the ...
Frontiers

Data-driven modeling and identification of a bistable soft-robot element based on dielectric elastomer

Mechatronic Systems Laboratory, Institute of Machine Design and Systems Technology, Technische Universität Berlin, Berlin, Germany This paper presents the development and experimental validation of a ...
adexchanger

data based decisions

Marketing measurement is broken, and everyone knows it. Every week, I talk to marketing leaders who are desperate to quantify the revenue that marketing is incrementally delivering to the business.