Principal Investigator M Kaashoek
Principal Investigator Rohit Karnik
Tancredi Botto Co-Founder and CEO, Muon Vision
Tancredi Botto presented how muon radiography, a safe and innovative imaging technology using naturally occurring cosmic ray particles, drove a step change in the efficiency and sustainability of heap leaching operations. This technique enabled precise, quantitative 3D mapping of fluid and air content within leaching heaps over time, overcoming traditional field measurement challenges. These insights were critical for optimizing metal yields, reducing operational costs, and managing geotechnical risks at scale.
Join the MIT ILP Leading Edge webinar, New technologies for improved mining operations, to explore how emerging technologies and automation are transforming the mining industry. Learn how the integration of data analytics and digital twins is advancing toward autonomous operations and real-time control systems powered by sensor data.
Brandon Fields Co-Founder and Chief Science Officer, Fieldstone Bio
Fieldstone Bio is an MIT-connected startup spun out in 2023 from the Voigt lab in MIT’s bioengineering department. Fieldstone uses microscopic biosensors to measure elements at a mining scale. Fieldstone’s biosensors act as tiny, engineered sensors capable of being spread across cores, ore, or tailings to provide direct measurements of gold, copper, and other metals. Fieldstone can measure and process the signals from the biosensors using advanced imagery and AI to produce high-resolution heatmaps of the target element – providing mining companies with unprecedented data to augment existing modeling and increase the speed and accuracy of decisions.
New Technologies for Improved Mining Operations Leading Edge Webinar: Closing Remarks
Eduardo Garrido Program Director, MIT Industrial Liaison Program
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Principal Investigator J Perron
Welcome and Introductions Eduardo Garrido, Program Director, MIT Industrial Liaison Program
Brian W Anthony Principal Research Scientist, Department of Mechanical Engineering Associate Director, MIT.nano Director of Technical Operations, Center for Clinical and Translational Research
Industry is undergoing a major transformation, shifting from automated to autonomous operations. The key to making this happen is the integration of digital technologies, including sensors, data, computing power, and information systems. At the heart of this shift are digital twins—virtual models that represent materials, processes, supply chains, and production lines. These digital replicas allow for simulation, monitoring, and improvement of operations in real-time using sensor data. When digital twins are combined with real-time control systems and machine learning, operations and factories become smarter and more adaptive. Real-time data flows from sensors to digital models and ML algorithms, enabling predictive maintenance, waste reduction, and optimizing production. A data-in-context connected ecosystem creates a highly efficient, data-driven environment in manufacturing and in mining.