In joint research with the University of Tokyo (UTokyo), the National Institute of Advanced Industrial Science and Technology ...

The existing dementia risk models are limited to known risk factors and traditional statistical methods. We aimed to employ machine learning (ML) to develop a novel dementia prediction model by ...

Although machine learning (ML) techniques have advanced malware detection, they remain vulnerable to adversarial attacks. Current research primarily focuses on adversarial examples targeting single ML ...

In this large multicenter study, over one-third of patients failed to meet ePRO-guided nutritional targets, highlighting substantial challenges in adherence. Further, we identified key predictors ...

Have you seen those posts of barnacles being cleaned off a whale or search results being summarised into inaccurate info?

Learn about data quality, model evaluation, model explainability, and model reliability aspects to consider when working with AI and machine learning models.

For example, if 60 percent of your students are in temporary housing, you need the discretion to hire more social workers or bilingual staff. Crucially, we’ve also built a district culture that values ...

Such a business paradigm significantly expedites and simplifies the development circles. Unfortunately, the commercial value of such cloud-based machine learning models motivates attackers to conduct ...