Superconductors sit at the heart of some of the most ambitious technologies on the horizon, from lossless power grids to ...

Engineers at the Massachusetts Institute of Technology have designed a new aluminum alloy that can be 3D printed and reach ...

Beneath the shifting waters of Alexandria's eastern harbor, on Egypt's Mediterranean coast, lie the drowned remnants of a ...

Chatbots and fraud prevention applications are becoming more common, but banks are still doing the essential data work needed so AI can do the more ambitious work around investment recommendations.

The history of AI shows how setting evaluation standards fueled progress. But today's LLMs are asked to do tasks without ...

Discover the power of predictive modeling to forecast future outcomes using regression, neural networks, and more for improved business strategies and risk management.

Abstract: The objective of this research is to compare supervised learning algorithms in rural and urban areas. Road accidents have become a major concern and the main cause of mortality globally. The ...

We have explained the difference between Deep Learning and Machine Learning in simple language with practical use cases.

AI (Artificial Intelligence) is a broad concept and its goal is to create intelligent systems whereas Machine Learning is a specific approach to reach the same goal.

Abstract: Breast cancer is the most common cancer type among females and is one of the leading causes of death worldwide. Being a heterogeneous disease, subtyping breast cancer plays a vital role in ...