Machine learning algorithms have increasingly become integral to gamma-ray spectroscopy, enabling automated feature extraction, classification and quantitative analysis from complex spectral data.

Sixth-generation wireless networks have been sold to the public as a revolution of speed: holographic calls, tactile internet, autonomous everything. But a new survey published in the International ...

Machine learning is being used to create predictive algorithms for everything from stock market forecasts and customer prospecting to predicting when manufacturing equipment will fail and which ...

Medicare's six-year WISeR programme uses AI and machine learning to assist reviews of selected services in six states, with ...

An automated machine-learning program developed by researchers from Edith Cowan University (ECU) in conjunction with the University of Manitoba has been able to identify potential cardiovascular ...

Feature selection (FS) is a critical step in hyperspectral image (HSI) classification, essential for reducing data dimensionality while preserving classification accuracy. However, FS for HSIs remains ...

Smartwatches are among the wearable devices that gather health data. Translating that data into useful information can be complicated and expensive. (iStock) The human body constantly generates a ...

A machine learning model utilizing longitudinal electronic diary data can accurately forecast the likelihood of next-day migraine attacks.

A machine learning algorithm used gene expression profiles of patients with gout to predict flares. The PyTorch neural network performed best, with an area under the curve of 65%. The PyTorch model ...

How does AI read your "1"? We have created a machine learning teaching material using handwritten digits.Even though you ...

In the sun-baked peanut fields of southern Georgia, a team of researchers has put one of precision agriculture’s most ...

The FIFA World Cup has seen 'Paul the Octopus' - the famous eight-limbed soothsayer. In this age of AI and machine learning, predicting a World Cup winner has become more refined. Take, for example, ...