Medical artificial intelligence (AI) faces a fundamental challenge: uncertainty quantification. Artificial neural networks ...

Researchers have developed a new "emotionally aware" AI-based model for classifying mental health conditions, which could ...

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...

Abstract: Social networks have a large amount of data available, but often, people do not provide some of their personal data, such as age, gender, and other demographics. Although the sentiment ...

Artificial intelligence (AI) is a broad term for a category of algorithms and models that perform tasks and exhibit behaviours such as learning and making decisions and predictions. Machine learning ...

The bias problem in classification tasks and the different strategies used for bias mitigation. How these strategies are grouped into categories and a brief introduction of the most representative ...

Read the full article Identifying the Gender of a Voice using Machine Learning. This project trains a computer program to identify a voice as male or female, based upon acoustic properties of the ...

Abstract: Computer vision (CV) is a subfield of computer science that enables machines to perceive, interpret, and understand visual data. It combines image processing, analysis, and machine learning ...

The new system cut the number of students deemed “at risk” in the state by 200,000, leading to tough moral and ethical questions over which children deserve extra assistance. By Troy Closson Nevada ...

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Machine learning with neural networks is sometimes said to be part art and part science. Dr. James McCaffrey of Microsoft Research teaches both with a full-code, step-by-step tutorial. A binary ...