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Machine learning tool helps evaluate ICU resource efficiency in severe pneumonia care
A study published in the Journal of Critical Care, conducted with the participation of the D'Or Institute for Research and Education (IDOR), investigated how to measure efficiency in the use of ...
There is a significant need to improve early suicide indicators and detection using artificial intelligence and machine ...
Data science and machine learning technologies have long been important for data analytics tasks and predictive analytical software. But with the wave of artificial intelligence and generative AI ...
Python might be the default for most AI and machine learning development, but what about other popular languages? Here’s what ...
Northeastern University researchers used an original machine learning tool to predict how genetic mutations cause a rare ...
Please provide your email address to receive an email when new articles are posted on . The model, along with a traffic-light system, boosted sensitivity and specificity of agitation recognition.
With the rise of machine learning tools such as ChatGPT, we’ve seen a lot of speculation regarding what that looks like for the future of human creativity in the workplace and elsewhere. Some have ...
Florida State University chemists have created a machine learning tool that can identify the chemical composition of dried ...
Today’s fast-paced online world is underlined by systems that allow it to move that fast. Whether it’s the latest advancements to transport systems, faster internet connections, or more real-time ...
In the mortgage industry, staying ahead of the curve is crucial to success—which can be a problem when the industry itself is filled with new daily twists and turns. Thankfully, the increasing use of ...
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Mapping the future: AI deciphers alloy microstructures to enhance properties prediction and design
In a world of 8 billion people, there's one thing that makes each of us unique: our fingerprints. A variety of genetic and ...
Data volumes continue to explode with the global “datasphere” – the total amount of data created, captured, replicated and consumed – growing at more than 20 percent a year to reach approximately 291 ...
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