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February 9, 2024
A study suggested a statistical association between milk consumption, certain metabolites, and the frequency of type 2 diabetes.
February 8, 2024
Advancements in Large Language Modeling are shaping the direction even in content recommendations.
February 8, 2024
Artificial intelligence, or AI, can make it hard for you to tell what's real or computer generated.One professor at the University of Iowa says it's getting mor
February 8, 2024
Specialized and general physicians show significant gaps in diagnosing skin diseases across skin tones, with deep learning assistance improving accuracy but also highlighting disparities.
February 8, 2024
In an era-shifting update, Google just unleashed new AI model Gemini, launched a premium subscription service, and slipped AI into the core our phones.
February 8, 2024
In an era-shifting update, Google unleashed its new AI model Gemini, launched a premium subscription service, and slipped AI into the core of consumers' phones
February 7, 2024
SAN ANTONIO - Meta is going to take a harder stance on misinformation and deep fakes during election season.The parent company of Facebook and Instagram said to
February 7, 2024
The data management company's stock is up 30%, as investors are happy to see companies making money on AI
February 7, 2024
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...
February 7, 2024
Multi-modal action recognition methods can be generally classified into two categories: (1) fusing multi-modal features with simple concatenation or fusing the classification scores of individual modalities without considering the interaction among the multi-modalities; (2) using one of the modalities as privileged information in training to boost the recognition on the other modalities in inference. The former approach usually is not able to deal with the cases where one of the modalities is mi...