CybAI news

[Submitted on 18 Nov 2024] View a PDF of the paper titled Exploring the Potential Role of Generative AI in the TRAPD Procedure for Survey Translation, by Erica Ann Metheney and Lauren Yehle View PDF HTML (experimental) Abstract:This paper explores and assesses in what ways generative AI can assist in translating survey instruments. Writing effective survey questions is a challenging and complex task, made even more difficult for surveys that will be translated and deployed in multiple linguistic and cultural settings. Translation errors can be detrimental, with known errors rendering data unusable for its intended purpose and undetected errors leading…

Customers will be able to interact with their database using natural language thanks to the new text-to-SQL function in DBHawk, a database access tool developed by Datasparc. The company also announced its SOC 2 Type II compliance and an expansion of its partnership with IBM. DBHawk is Datasparc’s handy database tool that lets different users accomplish a range of different database tasks. For instance, data analysts can use it to write and execute SQL queries against dozens of databases, including relational and NoSQL databases. Data engineers can use it to perform joins and schedule SQL queries. Administrators can also use…

[Submitted on 22 Nov 2024] View a PDF of the paper titled Leapfrog Latent Consistency Model (LLCM) for Medical Images Generation, by Lakshmikar R. Polamreddy and Kalyan Roy and Sheng-Han Yueh and Deepshikha Mahato and Shilpa Kuppili and Jialu Li and Youshan Zhang View PDF HTML (experimental) Abstract:The scarcity of accessible medical image data poses a significant obstacle in effectively training deep learning models for medical diagnosis, as hospitals refrain from sharing their data due to privacy concerns. In response, we gathered a diverse dataset named MedImgs, which comprises over 250,127 images spanning 61 disease types and 159 classes of…

[Submitted on 2 Aug 2024 (v1), last revised 22 Nov 2024 (this version, v2)] View a PDF of the paper titled WaveMamba: Spatial-Spectral Wavelet Mamba for Hyperspectral Image Classification, by Muhammad Ahmad and 3 other authors View PDF HTML (experimental) Abstract:Hyperspectral Imaging (HSI) has proven to be a powerful tool for capturing detailed spectral and spatial information across diverse applications. Despite the advancements in Deep Learning (DL) and Transformer architectures for HSI classification, challenges such as computational efficiency and the need for extensive labeled data persist. This paper introduces WaveMamba, a novel approach that integrates wavelet transformation with the spatial-spectral…