MATTHEW ALBERTS' LATEST BOOK: The Gen AI Manufacturing Revolution: Smarter Factories, Enhanced Products, and Reduced Costs

The Gen AI Manufacturing Revolution highlights how generative and agentic artificial intelligence are transforming manufacturing processes, driving innovation, and reshaping the way we work. Implementing AI in manufacturing comes with unique challenges, such as integrating AI with physical machinery, managing intricate supply chains, and ensuring regulatory compliance. This book addresses these challenges, helping you harness AI's potential while navigating its complexities.

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Academic Publications

· (2024) Transitioning from Simulation to Reality: Applying Chatter Detection Models to Real-World Machining Data Machines: Application of Sensing Measurement in Machining

· (2024) A Data-Driven Framework for Predicting Machining Stability: Employing Simulated Data, Operational Modal Analysis, and Transfer Learning, The International Journal of Advanced Manufacturing Technology

· (2024) Chatter detection in simulated machining data: a simple refined approach to vibration data, The International Journal of Advanced Manufacturing Technology

· (2023) Predicting chatter using machine learning and acoustic signals from low-cost microphones, The International Journal of Advanced Manufacturing Technology

· (2009) An investigation of graphite nanoplatelets as lubricant in grinding, International Journal of Machine Tools and Manufacture

· (2008) Characterization and prediction of the heat-affected zone in a laser-assisted mechanical micromachining process. International Journal of Machine Tools and Manufacture