Recommendation systems (like Douyin, Qidian novels, etc.) are characterized by high-frequency self-learning: the model may update hourly or even every minute, with features changing rapidly over time.

Even if you haven’t seen The Matrix (1999) in years, you probably remember this scene: a bald kid in monk-like robes sits ...

When researchers are building large language models (LLMs), they aim to maximize performance under a particular computational ...

A new method for quantifying grandeur is reshuffling the pecking order of the planet’s most impressive peaks. Turns out ...