The reduction in the number of queries to the object model is a hot topic in the current research of black-box adversarial attack methods. To solve this problem, in this article, we propose generating ...

The social model of disability describes how barriers in society can cause or increase disability. Here are examples of how this can occur.

Hierarchical Reasoning Models (HRM) tackle complex reasoning tasks while being smaller, faster, and more data-efficient than large AI models.

The surveillance protocol for early-stage non–small cell lung cancer (NSCLC) is not contingent upon individualized risk factors for recurrence. This study aimed to use comprehensive data from clinical ...

From lens focal lengths and fill-flash to portraits, macro or stunning landscapes there are techniques for everyone. Learn how to use metering, considering composition and shoot everything from ...

The use of electromagnetic-transient (EMT) models to study the behavior of power systems with high share of inverter-based resource (IBR) systems has become increasingly vital to ensure power system ...

If data used to train artificial intelligence models for medical applications, such as hospitals across the Greater Toronto Area, differs from the real-world data, it could lead to patient harm. A ...

To illustrate the problem, the case of a cyclone landing close to a low-gradient coastal city is discussed, and its probability of flooding and recurrence period is calculated. We show that the ...

The bge-en-icl model is based on the Mistral-7B backbone, known for its effectiveness in NLP tasks. A key aspect of this method is the use of in-context learning during training, where task-specific ...