Software engineer Sai Bhargav Yalamanchi notes that mathematical tools helping practitioners interpret uncertainty have become increasingly relevant.

Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...

A new study puts the world’s famous blue zones under the microscope, testing whether their legendary lifespans stand up to ...

Tesla built its reputation on speed, software, and sleek design, but a growing body of data now points to a more ...

Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.

In an RL-based control system, the turbine (or wind farm) controller is realized as an agent that observes the state of the ...

For the past few years, we have watched agentic AI systems generate impressive demonstrations. They write code that passes test cases. They search the web and answer complex questions. They navigate ...

Learn how root cause analysis and integrated data prevent hydropower bearing failures, reduce costly downtime, and improve ...

AI hallucination is not a new issue, but a recurring one requiring attention of both the tech world and users. As AI seeps ...

Rape prosecution in India has always been a tricky task with the survivors often undergoing intimidation, social stigma, and ...

Background IBD is characterised by recurrent flares, but evidence on whether modifiable dietary factors influence flare risk ...

Most AI tools are working with incomplete, siloed data, giving leaders a fragmented view of their own interconnected business ...