ML cube
Chris Nicol has extensive experience in electrical and firmware engineering, currently serving as an Electrical Engineer at SMART Technologies since July 2010, where Chris develops hardware for DViT interactive whiteboards and related educational devices. Prior roles include Firmware Engineer at SMART Technologies, Electronics Contractor for Science Alberta Foundation focusing on educational device design, and Teaching Assistant at the University of Calgary, where Chris assisted with laboratory instruction and exam oversight. Earlier experience as an Electronics Engineer at Grindcom involved developing control systems for forestry equipment. Chris holds an M.Sc. in Electrical Engineering from the University of Calgary and a B.Tech. in Electronics Engineering from DeVry Institute of Technology.
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ML cube
ML cube is a Politecnico di Milano spin-off innovative firm – part of Kayrhos Group - providing cutting-edge solutions for Machine Learning Systems and Life-Cycle-Performance Optimization. ML Cube comes from the research activity of the Department of Electronics, Informatics and Bioengineering of Politecnico di Milano. It is the result of the specific research lines of Artificial Intelligence, Reinforcement Learning and Optimization conducted by a brilliant and synergic team. Thanks to the combination of excellent scientific and managerial expertises, our team can face the new challenges of the AI market. We believe that Artificial Intelligence will be part of our lives and will design models for every business, becoming an inseparable part for products and services. We provide customers who choose to invest in AI with innovative tools to guarantee high-standards performance maintenance of their systems.