Finding the shortest path from data to impact

MIT Machine Intelligence for Manufacturing and Operations (MIMO) is a research and educational program created to increase industrial competitiveness by accelerating the deployment and understanding of machine intelligence in manufacturing and operations.

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Applied Research

MIT Machine Intelligence for Manufacturing and Operations (MIMO) research solves current problems using the latest in machine intelligence techniques and technologies.  We take a hands-on, multi-disciplinary and results-oriented approach to increasing your competitiveness through innovation.  Our faculty and students are interested in problems along the full manufacturing and operations value chain. 

Submit a Research Request

Executive Education

MIMO has partnered with the Quest for Intelligence to address the educational gap between the theory behind the latest machine intelligence tools and the techniques and practices required to implement them.  This Symposium Series is targeted at mid-career, mid-level executives with an engineering or science background that have or want to identify operational or manufacturing machine intelligence opportunities.

Attend the Symposium

Benchmark Data

MIMO is building a data set of successfully trialed and implemented use cases; enabling technologies and processes; management best practices; and techniques to manage explainability, human interaction and address work force implications. We are surveying manufacturing and operations executives along the full manufacturing and operations value chain and in many industries.

Participate in the Survey
MIMO works in collaboration with MIT’s Quest for Intelligence to translate the latest innovations in deep learning and machine learning to meet the needs in manufacturing and operations.  In addition to the Quest, MIMO is also working closely with Operations Research Center, Leaders for Global Operations, CSAIL, and other MIT faculty in the Schwartzman College of Computing.

Machine Learning Research in Manufacturing and Operations

Over the last decade manufacturing and operations facilities have undergone a substantial digital transformation with a huge increase in IoT connected systems, data collected and global standardization. In the last 5 years significant improvements in machine learning algorithms, tools and specialized processors have enabled machines to make observations and decisions using these vast sources of data. MIMO’s purpose is to…..