Abstract: Big data analytics often face challenges arising from the heterogeneity of data, which can come in various forms, such as structured, unstructured, and semistructured data. Traditional ...

Sid Miller, state agriculture commissioner, speaks during a Make America Great Rally last year. Credit: Texas Tribune / Olivia Anderson Texas Agriculture Commissioner Sid Miller shared a social media ...

Deformable image registration is important for cancer treatments that utilize an MR-Linac (a linear accelerator with integrated magnetic resonance imaging). Traditional methods of two- and ...

New AI image generator runs using 10 times fewer steps than today's best models — and it's coming to smartphones and laptops Researchers have developed an AI image generator that produces images in ...

Seemingly out of nowhere, the “Save image as Type” Chrome extension was marked for removal, with Google warning users that the extension contains malware. The extension had at least one million users.

Abstract: Deep learning models perform best when trained on large datasets, but in medical imaging, obtaining such data is challenging due to privacy concerns, scarcity of rare conditions, high costs, ...

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. In recent AI-driven disease diagnosis, the success of models has depended mainly on ...

Researchers have developed a novel attack that steals user data by injecting malicious prompts in images processed by AI systems before delivering them to a large language model. The method relies on ...

Historical data collection on nuclear fuel cladding materials has focused on generating a statistically significant amount of data to assess the material and its failure behavior. Furthermore, data ...