The method helps AI better understand links between text and images, even in new or unusual pairings. Standard tests check ...

Machine learning (ML) and deep learning (DL) as two well-known methods of artificial intelligence (AI) have emerged as powerful tools in extracting insights and patterns from vast amounts of data. In ...

MIT researchers have identified significant examples of machine-learning model failure when those models are applied to data ...

The language used to describe conflicts naturally reflects assumptions about how different forms of violence emerge and develop.

For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...

Due to their error-prone hardware, quantum computers have not yet found practical use. One promising solution is quantum error correction: special methods are used to find and correct errors in the ...

California’s AB 2013, also known as the Generative Artificial Intelligence: Training Data Transparency Act (TDTA), took effect on January 1, 2026.

Gene that drops early in pancreatic tumors linked to shorter survival at stage II. Findings could guide future treatment ...

According to the paper, artificial intelligence addresses a core weakness in Parkinson’s care: reliance on subjective ...

Abstract: Artificial intelligence (AI) is transforming social science research by enabling scalable data analysis, predictive modeling, and causal inference, thereby reshaping the methodological ...

Abstract: One of the prominent challenges encountered in real-world data is an imbalance, characterized by unequal distribution of observations across different target classes, which complicates ...