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 ...
dbta

Redgate Data Modeler Reflects Redgate’s Commitment to Delivering Unified, Multi-Database Development

Redgate Software, the end-to-end Database DevOps solution provider, is launching Redgate Data Modeler, a new SaaS-based data modeling tool that enables teams to collaboratively design, document, and ...
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 ...
GitHub

Toad Data Modeler Auto-Save Feature Not Working Properly

Hello everyone, I'm currently facing an issue with Toad Data Modeler where the auto-save function is not working as expected. Even though the auto-save feature is enabled, the models are not saved ...
Frontiers

Modeling and forecasting of the high-dimensional time series data with functional data analysis and machine learning approaches

Temperature impacts every part of the world. Meteorological analysis and weather forecasting play a crucial role in sustainable development by helping reduce the damage caused by extreme weather ...