High-entropy alloys are promising advanced materials for demanding applications, but discovering useful compositions is difficult and expensive due to the vast number of possible element combinations.

Large language models (LLMs) can suggest hypotheses, write code and draft papers, and AI agents are automating parts of the research process. Although this can accelerate science, it also makes it ...

Keeping high-power particle accelerators at peak performance requires advanced and precise control systems. For example, the primary research machine at the U.S. Department of Energy's Thomas ...

In this academy, you’ll explore how data scientists analyze real-world data to uncover meaningful insights. Through hands-on projects, you’ll learn the fundamentals of data analysis and machine ...

In some ways, data and its quality can seem strange to people used to assessing the quality of software. There’s often no observable behaviour to check and little in the way of structure to help you ...

aSydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia bThe Charles Perkins Centre, The University of Sydney, Sydney, NSW, Australia ...

Abstract: The increasing complexity of traffic dynamics has underscored the necessity for advanced traffic safety description and analysis, challenging the efficacy of current methodologies in ...

🔍 What is Crypto-Panda? Crypto-Panda is a smart, automated reporting tool that tracks the cryptocurrency market, analyzes patterns using both quantitative signals and AI, and emails you a report on ...

iDepartment of Psychiatry, Faculty of Medicine, University of Southampton, Southampton, UK jClinical and Experimental Sciences (CNS and Psychiatry), Faculty of Medicine, University of Southampton, ...

This project serves as a complete portfolio demonstrating my journey from Python fundamentals to advanced data analytics techniques. It includes hands-on examples of data cleaning, exploration, ...

Abstract: Data analysts often encounter two primary challenges while conducting exploratory data analysis by SQL: (1) the need to skillfully craft SQL queries, and (2) the requirement to generate ...