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By increasing the precision and versatility of fault detection and diagnosis (FDD) in heating, ventilation, and air conditioning (HVAC) systems, a new study has made a substantial contribution to increasing the energy efficiency of buildings.
Nursing staff record observations about older people under their care in free-text nursing notes. These notes contain older people's care needs, disease symptoms, frequency of symptom occurrence, nursing actions, etc. Therefore, it is vital to develop a technique to uncover important data from these notes. This study developed and evaluated a deep learning and transfer learning-based named entity recognition (NER) model for extracting symptoms of agitation in dementia from the nursing notes. We employed a Clinical BioBERT model for word embedding. Then we applied bidirectional long-short-...
Researchers have developed a platform that combines automated experiments with AI to predict how chemicals will react with one another, which could accelerate the design process for new drugs. A...
A renowned painting by Raphael, the Madonna della Rosa (Madonna of the Rose), has been scrutinized by AI, revealing that the Italian Renaissance painter may not have created the face of Joseph in the artwork.
Ever since BERT and other large deep-learning models started becoming accessible to the mainstream, we’ve seen more and more companies shift to utilizing these large proven ‘foundation models’ as a…