Reference number : 172-2018-2019-Q3-913385, amendment number : , agreement type : C, recipient legal name : NTwist Inc., recipient country : CA, recipient province : AB, recipient city : Edmonton|Edmonton, recipient postal code : T6R 0M7, program name english : Industrial Research Assistance Program – Contributions to Firms, program name french : Programme d’aide à la recherche industrielle – Contributions aux entreprises, program purpose english : The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization, program purpose french : Le PARI, par le biais des Contributions aux entreprises, vise à appuyer la recherche, le développement, l’adaptation et/ou l’adoption au Canada de produits, de services ou de processus novateurs ou axés sur des technologies nouvelles ou améliorées, et ce jusqu’à leur commercialisation, agreement title english : A Deep Learning Approach to Soft Sensor Design and Process Optimization for an Industrial Nickel Extraction Process, agreement title french : Approche d'apprentissage en profondeur pour la conception de capteurs et l'optimisation de processus pour un procédé d'extraction industrielle du nickel, agreement number : 913385, agreement value : 75000.0, agreement start date : 2018-10-01, agreement end date : 2019-10-31, description english : The objective of this project is to use artificial intelligence (AI) approaches to solve complex industrial problems.  The two biggest advantages of AI-based approaches are the ability to continuously learn and also learn adequately from historical data. Traditionally, many process information are unmeasurable during live operations because of instrumentation limitations.  Also, plants are not sufficiently optimized to maximize production quality, while minimizing waste.  Using AI-based approaches, we can develop complex non-linear models from historical to predict the unmeasurable process information.  The models are also continuously learning from the new data coming into the plant., description french : Approche d'apprentissage en profondeur pour la conception de capteurs et l'optimisation de processus pour un procédé d'extraction industrielle du nickel, expected results english : The purpose of IRAP Contributions to Firms is to support research, development, adoption and/or adaptation of innovative or technology-driven new or improved products, services or processes in Canada up to their commercialization, expected results french : Le PARI, par le biais des Contributions aux entreprises, vise à appuyer la recherche, le développement, l’adaptation et/ou l’adoption au Canada de produits, de services ou de processus novateurs ou axés sur des technologies nouvelles ou améliorées, et ce jusqu’à leur commercialisation, additional information english : nan, additional information french : nan, owner organization : nrc-cnrc, owner organization title : National Research Council Canada | Conseil national de recherches Canada