Abstract: The graphical model selection problem is vital in various applications and has garnered significant attention in recent years. In many applications traditional approaches face significant ...

However, when evaluating the calibration curves at the 2 hospitals, model shifts were observed for the delirium and sepsis use cases but not for AKI. Additionally, to investigate the clinical utility ...

Confirmation of Adelita as a large porphyry-skarn mineral system with vertically extensive feeder structures Identification ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

Highlights Confirmation of Adelita as a large porphyry-skarn mineral system with vertically extensive feeder structures Identification of 32 priority exploration targets Evidence for significant ...

Prepare for the worst, hope for the best. Seeing all things AI at a tech tradeshow is hardly unusual these days. However, ...

January 7, 2026) - Dayton T. Brown, Inc. (DTB) is proud to announce an award for the Missile Defense Agency's (MDA) Scalable Homeland Innovative Enterprise Layered Defense (SHIELD) indefinite-delivery ...

Wave’s history, the company made a decision to pursue annealing as its first technology to build a quantum computer because ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

Abstract: Digital in-memory compute (IMC) architectures allow for a balance of the high accuracy and precision necessary for many machine learning applications, with high data reuse and parallelism to ...

The compressive strength (CS) is the most important parameter in the design codes of reinforced concrete structures. The development of simple mathematical equations for the prediction of CS of ...