Deep learning is increasingly used in financial modeling, but its lack of transparency raises risks. Using the well-known ...
A recent Scientific Reports study discusses the potential of retinal fundus imaging as a diagnostic screening modality for Parkinson's disease (PD). Study: Deep learning predicts prevalent and ...
New deep-learning framework reconstructs hourly PM2.5 chemical composition using air-quality and meteorological data ...
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Study reframes amygdala as the sophisticated learning arbiter
A Dartmouth study challenges the conventional view that the amygdala-the two-sided structure deep in the brain involved in emotion, learning, and decision making-is simply the brain's primitive "fear ...
Crop pests cause substantial yield losses worldwide and pose persistent challenges to sustainable agriculture.
Deep learning methods have been used to augment existing energy-based physical models in 'do novo' or from-scratch computational protein design, resulting in a 10-fold increase in success rates ...
NEW YORK--(BUSINESS WIRE)--Deep Instinct, the prevention-first cybersecurity company that stops unknown malware pre-execution with a purpose-built, AI-based deep learning (DL) framework, released the ...
Analytical validation of the Labcorp Plasma Complete test to enable precision oncology through solid tumor liquid biopsy comprehensive genomic profiling. This is an ASCO Meeting Abstract from the 2024 ...
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