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

A key element to this paradigm shift is the deployment of a distributed sensor network that can continuously monitor water ...

True ROI for R&D won't come from the tool that generates 10,000 new ideas. It will come from the tool that confidently tells ...

When pitching the use of a model, data scientists rarely report on its potential value. They then experience an unnerving ...

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

We are at a transitional moment in how disease control efforts are structured in middle-income countries (MICs). To meet new evolving opportunities and threats in the coming decade in MICs, we cannot ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Vikki Velasquez is a researcher and writer who has managed, coordinated, and directed various community and nonprofit organizations. She has conducted in-depth research on social and economic issues ...

Daniel Liberto is a journalist with over 10 years of experience working with publications such as the Financial Times, The Independent, and Investors Chronicle. Robert Kelly is managing director of ...

These sprawling strategic experiences typically encompass long periods of history, including many intricate layers that players need to contend with. It's not just about winning that war or setting up ...