Tag: machine learning

Researchers apply machine learning to study fossil pollen

Posted by on November 16, 2020

Dr. Francisca Oboh-Ikuenobe, professor of geology and geophysics at Missouri S&T, has joined colleagues from other universities to develop a new, more efficient method of identifying fossilized pollen that combines high-resolution imaging techniques with a form of artificial intelligence known as machine learning. They aim to improve the accuracy of fossil pollen identification and discover links to modern plants.

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Is your smart watch sharing your data?

Posted by on November 13, 2020

You may not realize it, but your internet-connected household devices such as the Ring doorbell, Peloton exercise bike and Nest thermostat are all exchanging data with other devices and systems over the network. These physical objects, all part of the Internet of Things (IoT), come with sensors and software, and they often use cloud computing. Most people would consider the information contained in these household items as highly private. They store data ranging from your height and weight to when you are out of the house.

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Research links sinking land to regions of high groundwater demand

Posted by on September 24, 2020

Excessive pumping from underground aquifers can cause the surrounding land to sink and lead to damage to streets, bridges and other infrastructure, reduced groundwater storage, and contaminated drinking water, according to researchers at Missouri S&T. They are using a form of artificial intelligence known as machine learning to map the sinking – called land subsidence – to help water policy officials make informed decisions.

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A look at the dark side of smart tech

Posted by on February 26, 2019

Smart phones. Smart watches. Smart speakers. Smart appliances.

Smart devices are improving people’s lives every day. Advances in smart technology are helping people stay connected, find information and organize their lives along with numerous other benefits.

With these advances also come a sense of unease and insecurity – concerns about privacy, personal data sharing and ethics.

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Missouri S&T honors four faculty for teaching, research excellence

Posted by on October 25, 2018

Missouri University of Science and Technology’s College of Engineering and Computing (CEC) is honoring four faculty members for their research prowess, classroom service and teaching excellence.

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Missouri S&T programs prepare students to work with artificial intelligence

Posted by on August 29, 2018

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?

Posted by on April 9, 2018

Given the choice of riding in an Uber driven by a human or a self-driving version, which would you choose?

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Missouri S&T fetal heart rate research uses big data to reduce childbirth risks

Posted by on March 5, 2018

Giving birth to a child can be described as a sacred, spiritual and life-changing experience. It can also be fraught with pain, fear, complications and injury to both child and mother. For Dr. Steve Corns, associate professor of engineering management and systems engineering, the key to removing some of the uncertainty associated with giving birth may lie not with woman or man, but with machine — machine learning, to be precise.

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Will artificial intelligence disrupt higher education?

Posted by on August 9, 2017

Artificial intelligence, robotics, automation and machine learning are already disrupting the workplace. Will they disrupt the college experience next?

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Preparing MBA students for the artificial intelligence and machine age

Posted by on July 5, 2017

Someday soon, you might be managing, working with or even working for a robot. A core MBA class at Missouri University of Science and Technology prepares students for this distinct possibility, and teaches them how to coexist with their future artificial intelligence colleagues.

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