AI-powered crypto trading bots use machine learning to make smarter, faster trading decisions — without emotions. Setting up a bot involves choosing a platform, connecting your exchange ...

A multi-agent cryptocurrency trading bot using ensemble deep reinforcement learning with LSTM and Transformer networks. Features adaptive weight learning for agent coordination, comprehensive market ...

On Yupp, chatbot users earn cash by saying which of two prompts they prefer—info that has great value to the AI companies ...

CARV unveils a new AI roadmap aimed at birthing AI Beings: sovereign, self-owned agents that live, evolve, and govern ...

Reinforcement learning for chatbot development entails addressing complex challenges such as the exploration-exploitation trade-off, delayed reward problem, and state representation issue.

Tiangong, developed by the Beijing Humanoid Robot Innovation Center, is the world’s first fully electric running humanoid, ...

Scientists at Massachusetts Institute of Technology have devised a way for large language models to keep learning on the ...

Researchers from Nanjing University and UC Berkeley have unveiled a clustering-based reinforcement learning framework that balances novelty and ...

MiniMax-M1 presents a flexible option for organizations looking to experiment with or scale up advanced AI capabilities while managing costs.