As the world transitions to clean energy, wind power has emerged as a cornerstone of renewable electricity generation .

IntroductionThe UK water industry faces significant challenges in ensuring the accuracy and quality of the vast amounts of ...

To date, most applications for industrial AI have been for predictive applications, such as for maintenance optimization or ...

Superhydrides are materials that can store significantly more hydrogen than conventional hydrides and present a highly ...

MIT and NVIDIA researchers created a GPU-accelerated algorithm that lets robots plan complex tasks in seconds, boosting industrial efficiency.

The investing world has a significant problem when it comes to data about small and medium-sized enterprises (SMEs). This has nothing to do with data quality or accuracy — it’s the lack of any data at ...

Teaching AI to explore its surroundings is a bit like teaching a robot to find treasure in a vast maze—it needs to try different paths, but some lead nowhere. In many real-world challenges, like ...

MLCommons' AI training tests show that the more chips you have, the more critical the network that's between them.