Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

It took nearly six months (and 16,000 hot glue gun sticks) for Arizona schoolkids to recreate the massive Army machine, which ...

For this test, we’re comparing the default models that both OpenAI and Google present to users who don’t pay for a regular ...

North America held a dominant market position, capturing more than a 41.62% share, holding USD 1.50 billion in revenue.

Abstract: While deep learning (DL) methods based on empirical risk minimization (ERM) have achieved superior detection performance on public infrared small target detection (IRSTD) datasets, the ...

😸 Welcome to LRCD, this is a comprehensive repository specializing in Language Representation Favored Zero-Shot Cross-Domain Cognitive Diagnosis published in KDD 2025. Here, we propose LRCD, a new ...

To say “no” would be to ignore the fact that we have been collecting patient-reported outcome measures for more than 10 years. This effort began in orthopedics as a small pilot project at my ...

For all its flaws, the Joint Entrance Examination (JEE) has rested on one non-negotiable promise: that every student (nearly 12 to 14 lakh who appear for JEE Main each year) faces the same question ...

Background: Effective feedback in the cognitive domain is essential for surgical education but often limited by resource constraints and traditional assessment formats. Artificial Intelligence (AI) ...

Abstract: Despite the growing integration of deep models into mobile terminals, the accuracy of these models declines significantly due to various deployment interferences. Test-time adaptation (TTA) ...