Automating the Capture of Structured Pathology Data for Prostate Cancer Clinical Care and Research Natural language processing (NLP) techniques have been adopted to reduce the curation costs of ...

Researchers have developed an algorithm to train an analog neural network just as accurately as a digital one, enabling the development of more efficient alternatives to power-hungry deep learning ...

The device marks a major step forward in transforming how neuroscientists study the brain. By enabling high-resolution, real-time imaging of brain activity in freely moving mice, the miniaturized ...

Early detection of ovarian cancer, the deadliest gynecologic cancer, is crucial for reducing mortality. Current noninvasive risk assessment measures include protein biomarkers in combination with ...

Deep learning is a form of machine learning that models patterns in data as complex, multi-layered networks. Because deep learning is the most general way to model a problem, it has the potential to ...

Recently, Anhui Zhongji Star Electronic Technology Co., Ltd. submitted a patent application titled "Dynamic Control Method ...

This is a preview. Log in through your library . Abstract Similarity search—for example, identifying similar images in a database or similar documents on the web—is a fundamental computing problem ...

Geek Life: Fun stories, memes, humor and other random items at the intersection of tech, science, business and culture. SEE MORE by Molly Brown on Sep 2, 2015 at 10:30 am September 2, 2015 at 10:34 am ...