The ‘Data Science Institute for Machine Learning and AI’ (DSIMLA) focus is to advance education and research in data science for industries that grow, manage, harvest, and utilize wood and fiber resources. The Institute is housed within the newly established University of Tennessee School of Natural Resources (UT SNR). Members of DSIMLA will apply concepts of data science, machine learning, and AI for the optimization of processes and systems that will improve overall profitability to sustain business competitiveness.
Industry applications will be in cellulosic fiber manufacturing and forestry. Focus areas will be:
- Industry-focused training and workshops in data analytics, machine learning, and AI
- Graduate and undergraduate student education
- Applied research in data science, machine learning, and AI
Members will have the opportunity to interact with UT SNR faculty, staff, and students. Member companies will be able to engage in confidential research projects with graduate student support on a one-on-one basis. An executive board will govern the Institute.
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