Less instrumentation. More insight. Physics-informed virtual sensors are shifting condition monitoring from isolated pilots ...
Predictive orchestration is replacing siloed planning models. AI-powered control towers now integrate procurement, ...
Tech Xplore on MSN
Algorithm captures nonlinear climate dynamics to optimize air-conditioning energy use
Researchers have developed a new algorithmic model that can improve predictions of cooling demand for greener buildings. This ...
Discover how Markov chains predict real systems, from Ulam and von Neumann’s Monte Carlo to PageRank, so you can grasp ...
Journal Editorial Report: Progressives are happy with New York's mayor as the party's poster boy. Photo: Richard Swafford/Zuma Press Talk about socialist irony. Zohran Mamdani said last week that his ...
Legacy load forecasting models are struggling with ever-more-common, unpredictable events; power-hungry AI offers a solution.
Recent advances in artificial intelligence (AI) have positioned the field as a transformative technological domain, with applications across many areas. AI ...
Understanding how the brain anticipates future states and transmits or reconstructs information remains a central challenge in neuroscience. This Research ...
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 ...
Investopedia contributors come from a range of backgrounds, and over 25 years there have been thousands of expert writers and editors who have contributed. Vikki Velasquez is a researcher and writer ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results