Tag: AI
S&T researcher examines if AI have a mind of their own
Most people encounter artificial intelligence (AI) every day in their personal and professional lives. Without giving it a second thought, people ask Alexa to add soda to a shopping list, drive with Google Maps and add filters to their Snapchat – all examples of AI use. But a Missouri University of Science and Technology researcher is examining what is considered evidence of AIs having a “mind,” which will show when a person perceives AI actions as morally wrong.
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Researchers use artificial intelligence to design flood evacuation plans
Artificial intelligence may soon help transportation agencies and first responders determine the best evacuation routes during floods such as those affecting portions of Missouri and the Midwest, thanks to the work of Missouri S&T researchers.
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Missouri S&T programs prepare students to work with artificial intelligence
Students at Missouri S&T are taking advantage of a new opportunity to pick up skills in the field of artificial intelligence or AI. Starting this 2018-19 school year, Missouri S&T offers an undergraduate minor and graduate certificate in AI, Machine Learning and Automation in Business.
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After Uber, Tesla incidents, can artificial intelligence be trusted?
Given the choice of riding in an Uber driven by a human or a self-driving version, which would you choose?
Read More »AI and e-commerce: a perfect storm for retail jobs
If you work in retail sales, it might be time to explore a new career, according to a Missouri S&T researcher. Dr. Keng Siau, chair and professor of business and information technology, writes in a new research paper that the problem for retail salespeople is two-fold.
Read More »UMR students compete in artificial intelligence tournament
Several computer science and computer engineering students at the University of Missouri-Rolla competed in the UMR computer science department’s fall 2004 Artificial Intelligence Tournament on campus in December.
Read More »AI makes smart chips smarter, faster
Analyzing the accuracy of a computer chip’s layout will be faster and more efficient, thanks to the work of a UMR Ph. D. student who has developed a way to use fuzzy logic and neural networks to analyze printed circuit layouts.
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