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Lawrence Hall on Machine Learning and Artificial Intelligence

Distinguished University Professor Lawrence Hall was recently quoted in Florida High Tech Corridor's annual magazine, florida.HIGH.TECH 2018. Professor Hall concludes that the human element brings bias to datasets when it comes to machine learning and artificial intelligence. To achieve unbiased output, extreme care must be taken by human users while selecting training data and developing the algorithm. Professor Hall predicts that many new jobs created by AI will involve curating and fine-tuning data to maximize the accuracy of machine-learning systems.

To read more about the article Professor Hall was featured in, click here

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News about engineering excellence by world class faculty, and outstanding students and alumni of the College of Engineering.