The development of every field relies on a few foundational classic books, and artificial intelligence is no exception.

DeepSeek-R1’s Monday release has sent shockwaves through the AI community, disrupting assumptions about what’s required to achieve cutting-edge AI performance. This story focuses on exactly ...

The paper “Deep Reinforcement Learning-based Multi-Objective Scheduling for Distributed Heterogeneous Hybrid Flow Shops with Blocking Constraints,” authored by Xueyan Sun, Weiming Shen, Jiaxin ...

Deep Think builds on the version of Google’s Gemini 2.5 model that recently clinched a gold medal standard at the 2025 International Mathematical Olympiad (IMO).

DeepSeek-R1-Zero, a model trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT) as a preliminary step, demonstrates remarkable reasoning capabilities. Through RL, ...

Discover the education and career path of Rishabh Agarwal, the AI researcher who recently left Meta's Superintelligence team, including his time at IIT Bombay, Mila, Google Brain, and DeepMind.

Pioneers of Reinforcement Learning Win the Turing Award Having machines learn from experience was once considered a dead end.

This issue has now been addressed. Li Hang's newly launched book 'Machine Learning Methods (2nd Edition)' dedicates a chapter ...