AI integration in process manufacturing: Progress, challenges, and future outlook
Peer-Reviewed Publication
Updates every hour. Last Updated: 22-Jul-2025 18:11 ET (22-Jul-2025 22:11 GMT/UTC)
A new perspective article in Engineering explores the application of AI in process manufacturing. It examines how AI can be combined with process systems engineering tools, reviews current applications, and outlines challenges and opportunities, offering insights for a more efficient and sustainable manufacturing future.
A research paper by scientists at Shandong University presented a novel coordinated motion distribution and tracking algorithm for quadruped manipulators.
A study published in Engineering offers a practical risk-aware optimal dispatch strategy for resource aggregators. It aims to tackle the uncertainty of renewable energy and make use of building energy flexibility. The strategy combines probabilistic renewable energy prediction and a bi-level building flexibility engagement scheme, bringing economic and environmental benefits as shown by case studies.
A study in Engineering has developed a tin-modified Ce–Nb mixed-oxide catalyst. This catalyst shows enhanced performance in selective catalytic reduction of NOx with NH3, a key process for diesel vehicle emission control. It offers improved activity and hydrothermal stability, providing a potential solution for reducing nitrogen oxide emissions.
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Medulloblastoma is the most common malignant pediatric brain tumor with a high risk of metastasis and poor survival outcomes. To delineate the metastatic microenvironment, researchers in China have developed an explainable machine learning model that identifies key immune cells and cytokine markers linked to tumor dissemination and prognosis. Their model offers a transparent, data-driven approach that could help clinicians better assess risk and personalize treatment for children with this life-threatening disease.
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