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Redefining Fintech: Google Cloud and BlinkX's ClienTech Revolution - Vimarsana News

Redefining Fintech: Google Cloud and BlinkX's ClienTech Revolution

Google Cloud and BlinkX, introduced by JM Financial, have announced a strategic collaboration, marking the dawn of the 'ClienTech' era. This partnership focuses on delivering unprecedented levels of personalization in financial services through sophisticated algorithms, LLMs, and data analytics, aiming to transform the financial technology landscape in India.

Evaluating ChatGPT for structured data extraction from clinical notes - Vimarsana News

Evaluating ChatGPT for structured data extraction from clinical notes

Researchers evaluate the ability of ChatGPT to extract structured data from unstructured clinical notes.

Gale Digital Scholar Lab Expands to Help Students Present and Share Digital Humanities Research - Vimarsana News

Gale Digital Scholar Lab Expands to Help Students Present and Share Digital Humanities Research

/PRNewswire/ -- Gale, part of Cengage Group, has expanded the Gale Digital Scholar Lab (the Lab) platform with enhanced support for conducting and presenting...

Spoke AI uses generative AI to filter workplace noise - Vimarsana News

Spoke AI uses generative AI to filter workplace noise

As generative AI’s fast-unfolding power to supercharge content-creation raises concerns about what automation might mean for free access to quality information online, Berlin-based startup Spoke AI is preparing to apply it in a more bounded (but still noisy) context: Internally, pitching information workers on tools to automatically summarize inbound communications across third-party tools. The startup …

"Extracting Symptoms of Agitation in Dementia from Free-Text Nursing No" by Dinithi Vithanage, Yunshu Zhu et al. - Vimarsana News

"Extracting Symptoms of Agitation in Dementia from Free-Text Nursing No" by Dinithi Vithanage, Yunshu Zhu et al.

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-...

Source: uow.edu.au