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Tag: ai

Worker doing data analysis on mobile device
  • February 26, 2024
  • AI, Batch Manufacturing

Advanced Analytics in Batch Manufacturing: A Practical Path to Improved Yield and Consistency 

In batch manufacturing, optimizing processes for consistent yields and quality standards remains a top priority. Yet, the intricacies of batch operations often pose challenges in......

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  • January 17, 2023
  • Miscellaneous

Machine Learning and First Principle Models for Process Optimization

Machine learning and first principle models are two widely discussed approaches for process optimization nowadays. First principle models, which are also referred as dynamic models,......

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Worker controlling factory equipment via internet enabled smart device
  • January 3, 2023
  • Miscellaneous

The Future of manufacturing

This is what the future looks like in 2030: “AI-centric control systems run manufacturing plants by optimizing high-level objectives and following constraints and other instructions......

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  • December 6, 2022
  • AI

Bridging the gap between AI and industrial controls

Our paper titled SMPL: Simulated Industrial Manufacturing and Process Control Learning Environments has recently been accepted by NeurIPS 2022, Datasets and Benchmarks Track. In this......

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  • December 6, 2022
  • AI, Applications

Manufacturing needs MVDA: An introduction to modern, scalable multivariate data analysis

Machine learning and first principle models are two widely discussed approaches for process optimization nowadays. First principle models, which are also referred as dynamic models, have long been one...

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  • November 29, 2022
  • Pharma 4.0

The Current Challenges of Life Science Manufacturing Require the Adoption of Modern Solutions

In the last 2 – 3 years, Life Science industry supply chain disruptions highlighted the need for high-performance, distributed manufacturing that can accelerate the delivery......

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  • February 2, 2022
  • AI

Bridge the gap between Process Control and Reinforcement Learning with QuarticGym

Modern process control algorithms are the key to the success of industrial automation. The increased efficiency and quality create value that benefits everyone from the......

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  • January 10, 2022
  • Industry

AI-driven Automation: a Stepping Stone to Autonomous Process Control

Our research mission is to bring the best intelligent autonomy to manufacturing. Undoubtedly, AI-driven industrial control is a big part of it. At NeurIPS 2021......

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  • September 11, 2021
  • Industry

Optimizing Continuous Manufacturing Processes

This is a joint work of Benjamin Decardi-Nelson, Jerry Cheng, and Mohan Zhang. The future of manufacturing is continuous and autonomous. Compared to batch manufacturing,......

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  • June 28, 2021
  • AI, Industry, Technology

Optimization with Offline Reinforcement Learning

We showed that when you are early in your digitalization journey where you only have access to manipulated variables (e.g. sugar feed rate) and the outcome (e.g. yield), you......

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