British mathematician Jack Good coined the term “intelligence explosion” 61 years ago to describe what would happen when an intelligent machine entered a runaway cycle of fully automated ...

Abstract: Deep hashing has been intensively studied and successfully applied in large-scale image retrieval systems due to its efficiency and effectiveness. Recent studies have recognized that the ...

If “future AI models are optimised in a very different way than the American tech stack”, and as “AI diffuses out into the rest of the world” with Chinese standards and technology, China “will become ...

Educational code examples accompanying RLHF Book by Nathan Lambert. Join the Discord Community to ask questions, share runs, and compare notes on these examples. I primarily run experiments on a DGX ...

Good day, ladies and gentlemen. Thank you for standing by. Welcome to the MiniMax 2025 Full Year Financial Results Conference Call. Please note that English simultaneous interpretation will be ...

Having built a business by remixing content created by others, Anthropic worries that Chinese AI labs are stealing its data. The US-based maker of Claude models on Monday accused China-based DeepSeek, ...

MiniMax, an AI company based in Shanghai, China, has announced the MiniMax M2.5, a frontier model designed to dramatically improve real-world productivity. M2.5 uses reinforcement learning in complex ...

1 Department of Mathematics, College of Sciences, Shanghai University, Shanghai, China. 2 School of Future Technology, and Department of Mathematics, College of Sciences, Shanghai University, Shanghai ...

Economic indicators show that the United States (US) is the front-runner for both private investment in artificial intelligence (AI) and venture capital in generative AI, followed by China. Economic ...

Your browser does not support the audio element. International Draughts is a fun board game that's a bit like checkers but with more pieces and on a bigger board. It ...

Unsupervised Environment Design (UED) is a promising approach to generating autocurricula for training robust deep reinforcement learning (RL) agents. However, existing implementations of common ...