A new AI tool developed by University of Cambridge researchers is capable of analysing complex digital images of tissue ...

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 ...

Image normalization strategies for 3-D synthetic aperture sonar (SAS) is a relatively underexplored area for target classification leveraging convolutional neural networks (CNNs). For 3-D SAS data, ...

O. Rose Broderick reports on the health policies and technologies that govern people with disabilities’ lives. Before coming to STAT, she worked at WNYC’s Radiolab and Scientific American, and her ...

Abstract: Class imbalance is a persistent challenge in machine learning, particularly in high-stakes applications such as medical diagnostics, bioinformatics, and fraud detection, where the minority ...

Children as young as 4 years old are capable of finding efficient solutions to complex problems, such as independently inventing sorting algorithms developed by computer scientists. The scientists ...

A potential TikTok deal emerged Monday between the US and China, two days before the Trump administration's latest sell or be banned deadline. Now, attention is shifting to the app's Chinese algorithm ...

The Home Office could be banned from unlawfully using computer algorithms to recommend whether migrants should be deported. Privacy International has filed a ...

Classification of gas wells is an important part of optimizing development strategies and increasing the recovery. The original classification standard of gas wells in the Sulige gas field has weak ...

The search for victims of a devastating flood in Kerr County, Texas, has entered a critical phase. Crews with GulfSAR are traveling by boat along the Guadalupe River, using artificial intelligence to ...