Generative AI, especially large language models (LLMs), present exciting and unprecedented opportunities and complex ...

Fan Wang and Shaoshan Liu introduce the concept of Environmental Embodied AI.

CodeRabbit combines code graph analysis and the power of large language models to identify issues in pull requests and ...

See how to query documents using natural language, LLMs, and R—including dplyr-like filtering on metadata. Plus, learn how to ...

Compact representation of graph data is a fundamental problem in pattern recognition and machine learning area. Recently, graph neural networks (GNNs) have been widely studied for graph-structured ...

Before software developers actually start coding, an essential requirement is to be proficient in a programming language. However, as an important learning resource, programming language textbooks ...

Even the smartest machines can't match young minds at language learning. Researchers share new findings on how children stay ahead of AI—and why it matters.

Despite AI’s massive processing power, children still far outperform machines in learning language—and a new framework helps explain why.