COVI3D: Automatic COVID-19 CT Image-Based Classification and Visualization Platform Utilizing Virtual and Augmented Reality Technologies Recently many studies have shown the effectiveness of using augmented reality (AR) and virtual reality (VR) in biomedical image analysis. However, they are not automating the COVID level classification process. Additionally, even with the high potential of CT scan imagery… Continue reading COVID-19 CT Image-Based Classification and Visualization
Month: August 2024
Can Large Language Models Generate High Quality Patent Claims?
Large language models (LLMs) have shown exceptional performance across various text generation tasks but remain under-explored in the patent domain, which offers highly structured and precise language. This paper constructs a dataset to investigate the performance of current LLMs in patent claim generation. Our results demonstrate that generating claims based on patent descriptions outperforms previous… Continue reading Can Large Language Models Generate High Quality Patent Claims?
Data Bias and Time Series Prediction
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Approximate Similarity Search in Vector Databases
Abstract: A fundamental problem in modern vector databases is to process approximate similarity queries in high dimensional space. Vector databases become a central research topic with the increasing popularity of large language models. Troubled by the “curse of dimensionality” issue, it has long been questioned whether it is possible to index high-dimensional data effectively and… Continue reading Approximate Similarity Search in Vector Databases
A Case Study on COVID-19
Time series forecasting, as one of the fundamental machine learning areas, has attracted tremendous attentions over recent years. The solutions have evolved from statistical machine learning (ML) methods to deep learning techniques. One emerging sub-field of time series forecasting is individual disease progression forecasting, e.g., predicting individuals’ disease development over a few days (e.g., deteriorating… Continue reading A Case Study on COVID-19