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 ...
United States Army

Year in Review: CECOM SEC provides solutions through modernization

In 2025, the Communications-Electronics Command Software Engineering Center advanced the Army’s modernization portfolio ...

Daimler Truck uses graph technology to untangle its IT estate and gains long-lasting operational windfall

Daimler Truck uses graph technology to untangle its IT estate and gains long-lasting operational windfall - SiliconANGLE ...
IEEE

Seismic Inversion for Fracture Properties Using Model-Data Dual-Driven Network

Abstract: Deep learning techniques have seen widespread application in seismic inversion, yet they face significant challenges when applied to fracture property inversion. The limited availability of ...
GitHub

The Quest for Generalizable Motion Generation: Data, Model, and Evaluation

This is the official repository for The Quest for Generalizable Motion Generation: Data, Model, and Evaluation. The repo provides a unified framework for generalizable motion generation, including ...
Journal of Medical Internet Research

Development and Validation of a Machine Learning Model for Early Prediction of Delirium in Intensive Care Units Using Continuous Physiological Data: Retrospective Study

Developing an accurate, real-time prediction model for delirium represents an advancement in critical care, addressing needs for timely intervention and resource optimization in ICUs. Objective: We ...
IEEE

Data-Driven Modeling of Battery-Based Energy Storage Systems

Abstract: This article presents a data-driven modeling methodology applied to a battery-based power system comprising a power converter and an electric machine. The proposed method captures the ...