Experts are telling manufacturers to think big when implementing AI, while med students are learning not to compete with machine but to collaborate with it. Also in this week’s roundup, AI vs. ML vs. deep learning, do you know the difference? Plus, find out how the novel machine learning method is being used to explore the environmental impact of oil and gas drilling.
Start small but think big when implementing AI, expert tells manufacturers
By Tanya Weaver, contributing writer for Imeche.org
While a number of large manufacturing companies have already embarked on their artificial intelligence (AI) and machine-learning journeys, many small firms are still at the starting gates.
AI experts to med students: Don’t compete with the machine. Collaborate with it
By Dave Pearson, contributing writer for Aiin.healthcare
As machine learning progresses from research settings to clinical practice, how are clinicians to know they can trust the machine’s conclusions to guide care for actual patients?
ARTIFICIAL INTELLIGENCE VS. MACHINE LEARNING VS. DEEP LEARNING: WHAT’S THE DIFFERENCE?
By Artem Oppermann, contributing writer for Builtin.com
While artificial intelligence, machine learning and deep learning are trending tech terms that we hear everywhere these days, there are major misconceptions about what these words actually mean. Many companies claim to incorporate some kind of artificial intelligence (AI) in their applications or services, but what does that mean in practice?
Environmental Impact of Oil and Gas Drilling Explored With Novel Machine Learning Method
By Dan Bernardi, contributing writer for Technologynetworks.com
Crude oil production and natural gas withdrawals in the United States have lessened the country’s dependence on foreign oil and provided financial relief to U.S. consumers, but have also raised longstanding concerns about environmental damage, such as groundwater contamination.
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