Abstract In the rapidly evolving landscape of Industry 4.0, the complex computational tasks and the associated massive data volumes present substantial opportunities for advancements in machine learning at industry edges.Federated learning (FL), which is a variant of distributed machine learning for edge-cloud computing, presents itself as a persua
The modeling of multi-scale and multi-physics complex systems typically involves the use of scientific software that can optimally leverage extreme scale computing.Despite major developments in recent years, these simulations continue to be computationally intensive and time consuming.Here we explore the use 132 of AI to accelerate the modeling of
Objectives: We aimed to test early feasibility, acceptability, and signals of improvement after the 8-week individually delivered asynchronous, web-based mind-body program (NF-Web) modeled after the synchronous group-based live video program (Relaxation Response Resiliency Program for NF; 3RP-NF).Methods: Two cohorts (cohort 1 n = 14, cohort 2 n =
Macrotermes termites play important ecological roles and are consumed by many communities as a delicacy and dietary complement throughout Africa.However, lack of reliable morphological characters has hampered studies of Macrotermes diversity in a wide range of scientific fields including ecology, phylogenetics and food science.In Toothpaste order t