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Machine learning. It’s a term often used, but not always understood in the world of technology. Every day, new innovations, products and capabilities are introduced and adopted by people all over the world, but there’s a bit of a disconnect between researcher and consumer. How is a system trained? Why does it make certain decisions under certain conditions? What kind of reasoning goes into its decision making, and how can we trust that its choice is informed, objective and, ultimately, correct?
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In a previous episode of the Interaction Hour, we discussed one potential space that could benefit from virtual reality. A group that included one of our faculty, Neha Kumar, was using the technology in the educational space, working with local teachers to develop virtual lessons that showed improv…
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We are living in a data-centric world. You might not realize, but data influences nearly every important decision you’ll make on a daily basis. Consider your daily commute from Marietta to Midtown Atlanta. You leave at a particular time or take a particular route based on your understanding of the …
Think about the most recent news headline you read. Was it completely objective, void of any presupposition of truth or language that may lead readers down one particular path of understanding? Or did it, more likely, contain subtle cues about how the message was being framed, casting doubt on its …
免責聲明: 本頁面嵌入的 Podcast 和封面圖片來自 GTComputing，歸其所有者所有，與 Listen Notes, Inc. 無關聯，也未獲得 Listen Notes, Inc. 背書。
