In the "This Paper Changed My Life" series, neuroscientists reflect on papers that have profoundly influenced their careers ...
An interdisciplinary team is studying how neurons process information to design smarter, more sustainable artificial ...
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 ...
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 ...
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 ...
The learning algorithm that enables the runaway success of deep neural networks doesn’t work in biological brains, but researchers are finding alternatives that could. In 2007, some of the leading ...
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Neural network predicts volcanic eruptions
In recent years, predictive technologies for volcanic eruptions have advanced significantly, particularly with the ...
Recently, Anhui Zhongji Star Electronic Technology Co., Ltd. submitted a patent application titled "Dynamic Control Method ...
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 ...
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