Researchers at Los Alamos National Laboratory have developed a new approach that addresses the limitations of generative AI ...

The Data Science and Modeling for Green Chemistry award aims to recognize the research and development of computational tools that guide the design of sustainable chemical processes and the execution ...

Theoretical and simulation estimates of turbulent transport (high-dimensional data that depend on plasma conditions such as density, temperature, and magnetic field) are used as low-fidelity data, and ...

The integration of bioinformatics, machine learning and multi-omics has transformed soil science, providing powerful tools to ...

In this special feature, Daniel D. Gutierrez, Managing Editor of insideAI News discusses a question on many people’s minds these days – is an advanced degree required to become a data scientist and if ...

The integration of big data into business analytics has transformed how organisations gather and interpret large volumes of data. Big data includes a broad spectrum of structured and unstructured data ...

Data analysis is helping operators in the solar power sector develop more efficient systems that optimize operations and deliver cost savings. Utilities and other developers of solar power ...

Public safety and efficient urban planning remain pressing challenges in Nigeria. From congested cities to crime hotspots and disaster-prone areas caused mostly by floods, authorities often lack the ...