Machine learning & AI

AI-driven single blood cell classification

Every day, millions of single blood cells are evaluated for disease diagnostics in medical laboratories and clinics. Most of this repetitive task is still done manually by trained cytologists who inspect cells in stained ...

Machine learning & AI

AI learns complex gene-disease patterns

Artificial intelligence (AI) is being harnessed by researchers to track down genes that cause disease. A KAUST team is taking a creative, combined deep learning approach that uses data from multiple sources to teach algorithms ...

Machine learning & AI

The brain inspires a new type of artificial intelligence

Machine learning, introduced 70 years ago, is based on evidence of the dynamics of learning in the brain. Using the speed of modern computers and large datasets, deep learning algorithms have recently produced results comparable ...

Machine learning & AI

New AI tool identifies cancer outcomes using radiology reports

Scientists at Dana-Farber Cancer Institute have demonstrated that an artificial intelligence tool can perform as well as human reviewers—and much more rapidly—in extracting clinical information regarding changes in tumors ...

Computer Sciences

ColorUNet: A new deep CNN classification approach to colorization

A team of researchers at Stanford University has recently developed a CNN classification method to colorize grayscale images. The tool they devised, called ColorUNet, draws inspiration from U-Net, a fully convolutional network ...

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