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 ...

Over the last several years, deep learning — a subset of machine learning in which artificial neural networks imitate the inner workings of the human brain to process data, create patterns and ...

Evaluating human gait and posture is a clinically effective method for the early diagnosis of diseases involving gait ...

Will deep learning eventually become “artificial general intelligence” (AGI), matching human intelligence in every way? I don’t believe it will happen in the next 20 years.

Disease detection Deep learning (DL) has been extensively studied for its potential to enhance the sensitivity of medical imaging in detecting various neurological disorders.

The accuracy of detection for 1-micron polystyrene particles was 93%. Importantly, the technology may further be improved by making the AI algorithms more efficient. Reference Ishmukhametov I, ...

Computer-vision systems powered by deep learning are being developed for a range of applications. The technology is making self-driving cars safer by enhancing the ability to recognize pedestrians.

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 ...