Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...

Decades-Old Rule that Allowed Logging on Vast Swaths of US Land Ruled Unlawful by Oregon Court A Small Oil Company Polluted Midland’s Water Reserve. The Cleanup Has Dragged on for Years. This Small ...

Cisco Talos Researcher Reveals Method That Causes LLMs to Expose Training Data Your email has been sent In this TechRepublic interview, Cisco researcher Amy Chang details the decomposition method and ...

Introduction Anxiety disorders are among the most common co-occurring mental health conditions experienced by autistic youth. Without appropriate intervention, anxiety disorders and related ...

1 Faculty of Mathematics and Natural Sciences, Institute of Mathematics Education, University of Cologne, Cologne, Germany 2 Faculty of Education, University of Hamburg, Hamburg, Germany In this ...

April 16, 2025 - The advent of new software applications may pose challenges for collections in the course of discovery, in addition to the challenges faced at the identification and preservation ...

To enhance the efficiency of the analytical method development process, Almac Sciences worked in collaboration with S-Matrix to test the Fusion QbD® software platform. Optimisation of a peptide and ...

Chad M. Topaz and Tyrone Bass suggest five steps researchers can take to make more inclusive choices when collecting and analyzing data. Colleges and universities are investing heavily in data science ...

Background The avoidable causes of infant mortality should be identified, and interventions should be made to improve the infant mortality rate. The cause of infant deaths should be assessed in both ...

Abstract: Traditional degradation-based reliability evaluation methods are typically based on rich data from a population of similar products, providing an average description of product performance.