Intelligent agriculture requires precise, real-time control of diverse systems ranging from greenhouse climates to autonomous tractors. Classic approaches such as proportional–integral–derivative (PID ...
This case study demonstrates the deep collaborative capability of the PERA intelligent solution with traditional CAE tools ...
In the context of the rapid development of renewable energy and smart grid technologies, Zhejiang Zhiyuan Engineering Management Co., Ltd. applied for a patent in June 2025 titled "Photovoltaic Energy ...
Pairing artificial intelligence techniques called Q-learning and advantage actor-critic provides new way to optimize hybrid photovoltaic-thermoelectric systems.
Slurry-based absorption–adsorption enables efficient ethane recovery from natural gas, reducing energy use while ensuring high purity and recovery in CH4/C2H6 separation.
Quantum computers, computing systems that process information leveraging quantum mechanical effects, could soon outperform ...
In the "WindKI" research project, the Fraunhofer Institute for Wind Energy Systems IWES and the AI company LATODA are developing a new method that detects performance losses in wind turbines at an ...
Learn how agentic AI design principles like error handling and adaptive learning can transform AI into a dynamic ...
Mînzu, V. and Arama, I. (2025) A New Method to Predict the Mechanical Behavior for a Family of Composite Materials. Journal ...
The integration of artificial intelligence in financial systems has become a defining trend of 2025, and Trixford Fund ...
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