Transfer Learning News Today

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...

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…

The abundance of user-generated online content has presented significant challenges in handling big data. One challenge involves analyzing short posts on social media, ranging from sentiment identification to abusive content detection. Despite recent advancements in pre-trained language models and transfer learning for textual data analysis, the classification performance is hindered by imbalanced data, where anomalous data represents only a small portion of the dataset. To address this, we prop...

Every Friday at Oxen.ai we host a paper club called "Arxiv Dives" to make us smarter Oxen �� ��. We believe diving into the details of research papers is the best way to build fundamental knowledge and keep up with the bleeding edge. If you would like to join the discussion

This guide provides an explanation of AI transfer learning from large language models (LLM) offering a comprehensive guide on how it works and

Introducing LexiFuse+: a semi-supervised model merging lexicon features, BERT transfer learning, and one-class classifiers to detect anomalous content in short texts. It tackles challenges of informal text and imbalanced datasets, excelling in hate speech detection. By leveraging one-class classifiers in a fully deep fine-tuned network trained with unlabeled data, LexiFuse+ surpasses base models.

Overstaffing production in underground coal mining is not convenient for daily management, and incomplete information of coal miners hinders the rescue process of firefighters during mine accidents. To address this safety sustainability issue, a novel face recognition method based on an improved multiscale neural network is proposed in this paper. A new depthwise separable (DS)-inception block is designed and a joint supervised loss function based on center loss theory is developed to construct ...