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With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...

In everyday life, we encounter situations that seem to demand an explanation of why something happened, how it happened, or how it could have been prevented. People have a scientist-like desire in ...

In 2026, neural network research is advancing in efficiency, adaptability, and workflow reasoning, yet the MLRegTest benchmark shows persistent weaknesses in rule generalization. Researchers are ...

The discourse surrounding artificial intelligence (AI) has become increasingly complex as this rapidly advancing technology continues to transform industries, influence societal norms and raise ...

In 2026, neural networks are achieving unprecedented capabilities in workflow reasoning and cross-domain integration, yet benchmarks like MLRegTest expose persistent failures in rule abstraction and ...