Tracking every decision, dollar and delay: The new process intelligence engine driving public-sector progress

Early public sector adopters are proving what's possible with process intelligence — from identifying billions in potential ...
IEEE

A Knowledge Graph Approach to Cyber Threat Mitigation Derived from Data Flow Diagrams

Abstract: Data Flow Diagrams (DFD) have proven effective in designing and analyzing the flow of data in enterprise systems. They serve as indispensable tools for enterprises that are undergoing ...
Occupational Health & Safety

As Employers Push AI Adoption, EHS Faces New Pressure to Use Technology Safely and Responsibly

Companies are rapidly making AI use an expectation for employees, but the shift brings new challenges for EHS professionals ...
EurekAlert!

A new paradigm in spectroscopic sensing: The revolutionary leap of SERS-optical waveguide integration and ai-enabled ultra-sensitive detection

Recently, a collaborative team from multiple institutions, including CIOMP, published a review article in Light: Science & ...

CelLBxHealth plc (ANPCY) Discusses New Strategy and Business Plan Focused on Commercialization and Liquid Biopsy Innovation Transcript

Discusses New Strategy and Business Plan Focused on Commercialization and Liquid Biopsy Innovation November 26, 2025 9:00 ...
College of Computing - Georgia Tech

Record-Breaking Simulation Boosts Rocket Science and Supercomputing to New Limits

Inspired by SpaceX’s Super Heavy booster, a team led by Georgia Tech’s Spencer Bryngelson and New York University’s Florian ...
IEEE

Dynamic Graph Convolutional Recurrent Network With Spatiotemporal Category Information Embedding for Traffic Flow Prediction

Abstract: Traffic flow prediction is a challenging spatiotemporal prediction task due to its spatiotemporal dynamics and uncertainty. In recent years, graph convolutional neural networks (GCNs) have ...