With climate change posing an unprecedented global challenge, the demand for environmentally friendly solvents in green ...

Machine learning (ML) is rapidly emerging as a powerful tool to improve the safety, reliability, and long-term performance of marine structures exposed to harsh ocean environments. This study presents ...

Open source enters 2026 as core enterprise infrastructure, with growing pressure around sustainability, governance, funding, ...

IP that’s built on a RISC-V vector processing CPU. The platform has been augmented to support artificial-intelligence/machine ...

The IMF develops a machine-learning nowcasting framework to estimate quarterly non-oil GDP in GCC countries in real time, addressing long data lags and oil-driven distortions in headline GDP. By ...

For decades, soil management has relied on sparse field sampling and averaged recommendations. While effective in relatively uniform landscapes, this approach breaks down in real-world fields where ...

CES used to be all about consumer electronics, TVs, smartphones, tablets, PCs, and – over the last few years – automobiles. Now, it's just another opportunity for Nvidia to peddle its AI hardware and ...

Introduction Application of artificial intelligence (AI) tools in the healthcare setting gains importance especially in the domain of disease diagnosis. Numerous studies have tried to explore AI in ...

You’re investing too much to get the basics wrong. Here’s what architecture, infrastructure, and networking look like when ...

Overview: AI skills in 2026 require both technical understanding and the ability to apply them responsibly at work.Machine ...