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If successful, DeepMind's goal to bridge deep learning and classical computer science could revolutionize AI and software as we know them.
Deep learning algorithm used to pinpoint potential disease-causing variants in non-coding regions of the human genome The methods help identify 'footprints' that indicate binding sites and reveal ...
Researchers have developed and validated a deep learning algorithm that can identify and outline ('segment') a non-small cell lung cancer (NSCLC) tumor on a computed tomography (CT) scan within ...
A novel deep-learning algorithm outperformed a conventional risk score in predicting post-surgery mortality.
U of T researchers have developed a deep learning algorithm that can track proteins to help reveal what makes cells healthy and what goes wrong in disease. From self-driving cars to computers that can ...
The algorithm, however, has some limitations including a large memory requirement, limited context awareness within large tissue slides and the fact that it is limited to a single imaging modality.
DeepMind is trying to combine deep learning and algorithms, creating the one algorithm to rule them all: a deep learning model that can learn how to emulate any algorithm, generating an algorithm ...
Lung cancer, the most common cancer worldwide, is targeted with radiation therapy (RT) in nearly one-half of cases. RT planning is a manual, resource-intensive process that can take days to weeks ...