Physics-guided machine-learning models will improve subsurface imaging
A team of scientists at Los Alamos National Laboratory is applying machine-learning algorithms to subsurface imaging that will impact a ...
Tag: machinelearning
New machine-learning simulations reduce energy need for mask fabrics, other materials
Artificial intelligence breakthrough could cut energy costs in materials production. Making the countless numbers of N95 masks that have protected millions of ...
New machine-learning technique for classifying key immune cells has implications for a suite of diseases
Eesearchers from Trinity College Dublin have developed a new, machine learning-based technique to accurately classify the state of macrophages, which ...
NSF funds machine-learning research at UNO and UNL to study energy requirements of walking in older adults
For a healthy young adult, walking for ten minutes consumes less energy than the calorie content of one slice of ...
Firm managers may benefit from transparency in machine-learning algorithms
In today’s business world, machine-learning algorithms are increasingly being applied to decision-making processes, which affects employment, education, and access to ...
A good simulation of heatwave frequency variation by a machine-learning model
Against the background of global warming, the European region has experienced several severe extreme heatwave events in recent decades, which ...
Machine-learning algorithms can help health care staff correctly diagnose alcohol-associated hepatitis, acute cholangitis
ROCHESTER, Minn. — Acute cholangitis is a potentially life-threatening bacterial infection that often is associated with gallstones. Symptoms include fever, jaundice, right ...
Building explainability into the components of machine-learning models
Explanation methods that help users understand and trust machine-learning models often describe how much certain features used in the model ...
Can machine-learning models overcome biased datasets?
Artificial intelligence systems may be able to complete tasks quickly, but that doesn’t mean they always do so fairly. If ...
Hybrid machine-learning approach gives a hand to prosthetic-limb gesture accuracy
Engineering researchers have developed a hybrid machine-learning approach to muscle gesture recognition in prosthetic hands that combines an AI technique ...
Demystifying machine-learning systems
Neural networks are sometimes called black boxes because, despite the fact that they can outperform humans on certain tasks, even ...
Manifolds in commonly used atomic fingerprints lead to failure in machine-learning four-body interactions
Atomic environment fingerprints, or structural descriptors, are used to describe the chemical environment around a reference atom. Encoding information such ...
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New experimental treatment can stop the growth of schwannoma tumors
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International group of scientists warns nuclear radiation has devastating impacts on ecosystems
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Anu, previously gropod, awarded nearly $1 million competitive grant from the National Science Foundation
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Null results research now published by major behavioral medicine journal
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UK Scientists make major breakthrough in developing practical quantum computers that can solve big challenges of our time
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First nursery of multiple shark species in the Eastern Atlantic described in Cape Verde