As scientists use machine learning to decode the sounds of whales, dogs, and dolphins, opinions vary on how best to deploy ...

Strava's latest update is designed to identify and flag irregular, improbable, or impossible performances recorded on the ...

Budoen, A. , Zhang, M. and Jr., L. (2025) A Comparative Study of Ensemble Learning Techniques and Classification Models to Identify Phishing Websites. Open Access Library Journal, 12, 1-22. doi: ...

As data volumes surge across every industry and machine learning tools become more ... Azure ML automatically explores a range of algorithms and hyperparameter combinations to identify the ...

"The big picture is that we use a machine learning model to learn what 'normal' looks ... detector and used an offline optimization algorithm to determine the voltage settings for reducing ...

One use case is improved fraud detection ... model is via self-supervised learning, and thus discovers its own features. “We have found over and over and over again in machine learning ...

DeepSeek also highlighted its use of a mixture-of-experts (MoE) model architecture, a machine-learning approach that divides an AI model into separate sub-networks, or experts, each focused on a ...

Machine Learning (ML ... in the human brain by combining multiple algorithms simultaneously. 4 NNs have become incredibly valuable in pathogen detection, particularly in assessing interactions ...

Y. Yang, Y. Lou, M. Gao and G. Ma, An automatic aperture detection system for LED cup based on machine vision, Multimed. Tools Appl. 77 (2018) 23227–23244. Crossref, Google Scholar 13. A. Bhargava and ...