Anthropic research reveals AI models perform worse with extended reasoning time, challenging industry assumptions about test-time compute scaling in enterprise deployments.

Two AI models have achieved gold medal standard for the first time in a prestigious competition for young mathematicians – ...

Accurate and efficient traffic speed prediction is crucial for improving road safety and efficiency. With the emerging deep ...

To address these challenges, this paper proposes a continual learning method utilizing Diffusion-driven Generative Replay (DDGR). The proposed DDGR method continuously updates the model at each ...

This study proposes a method for imbalanced data classification based on deep probabilistic graphical models (DPGMs) to solve the problem that traditional methods have insufficient learning ability ...

MIT researchers developed SEAL, a framework that lets language models continuously learn new knowledge and tasks.