While the datasets are useful tools for training AI models, they do come with their own risks, from regulatory risks to ...

Advanced statistical modelling, hypothesis testing, and academic workflows make R preferred for data-heavy research and reproducible ...

Quality engineering must evolve faster than code; otherwise, agentic AI will move quickly, learn rapidly and fail expensively.

Public cloud spending is on a steep curve, rising from $595.7 billion in 2024 to $723.4 billion in 2025, and the fastest growing line items are often the ones n ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

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 ...

Abstract: With Python's ascension as a dominant program-ming language, particularly in the fields of artificial intelligence and data science, the need for comprehensive datasets focusing on software ...

Abstract: The current growth and evolution have led to the emergence of structures such as unstructured big data in different fields creating a need and demand for effective quality assessment models ...

Original Reporting This article contains firsthand information gathered by reporters. This includes directly interviewing sources and analyzing primary source documents. Subject Specialist The ...

To this day, animal testing remains one of the most controversial issues in animal rights. Activists have been fighting against it for years, supporting only companies that do not use wildlife for ...

A Florida Senate committee unanimously advanced a bill that would regulate large data centers. Supporters say the measure protects power grids, water supplies, and everyday utility customers. Critics ...