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How Research Culture Impacts AI Research Results

How Research Culture Impacts AI Research Results
Thursday, 19 April 2018

In a world where few countries can compete with the economic investment that the United States is able to spend on research, how can they contend with the results? Canada is using one method where they are able to take advantage of the limited resources available to them in order to compete with technology hubs such as Silicon Valley. The theory behind the AI research is collaboration instead of competition. [1]

Looking back to the 1980s we can see how institutions like CIFAR (the Canadian Institute for Advanced Research) have been promoting teamwork between disciplines to obtain the best results [1].  This institution focuses on this idea of cross-border functionality in order to gain perspective and spark new ideas. Researchers at CIFAR have freedom to take risks in a way that the founders believe is essential for truly innovative and transformative knowledge. [2]

The contribution, both in tangible results and in the formation of employees that excel, that entities like CIFAR are making to AI Research is undebateable [1]. This leads us to believe that the culture generated by these types of think-tanks is worth investigating and implementing where it could, potentially, be beneficial at little or no extra cost.