Optimizing AI algorithms without sacrificing accuracy
The ultimate measure of success for AI is how much it increases productivity in our daily lives. However, the industry faces enormous challenges in evaluating progress. The sheer number of AI applications is constantly evolving: finding the right algorithm, optimizing the algorithm, and finding the right tools. In addition, complex hardware engineering is updated quickly …
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