Determining the least expensive path for a new subway line underneath a metropolis like New York City is a colossal planning challenge—involving thousands of potential routes through hundreds of city ...

Researchers from the Johns Hopkins Applied Physics Laboratory (APL) in Laurel, Maryland, and Johns Hopkins University in Baltimore have achieved a breakthrough in quantum noise characterization in ...

Stanford scientist Fei-Fei Li talks about teaching machines to see as humans do, the US-China AI arms race, and what worries ...

As the use of machine learning algorithms in health care continues to expand, there are growing concerns about equity, fairness, and bias in the ways in which machine learning models are developed and ...

Purpose: Mutation diagnosis of severe combined immunodeficiency is challenging because of the multiplicity of disease genes and large number of disease-causing mutations, including unique ones that ...

Machine learning is the ability of a machine to improve its performance based on previous results. Machine learning methods enable computers to learn without being explicitly programmed and have ...

Introduction Depressed mood is a psychological state characterised by sadness or loss of interest in activities, is a common symptom that accompanies most major mental disorders. It is therefore ...