Reinforcement learning is one of the exciting branches of artificial intelligence. It plays an important role in game-playing AI systems, modern robots, chip-design systems, and other applications.

Cursor stated in its blog that achieving a high acceptance rate involves not only making the model smarter but also understanding when to provide suggestions and when not to. To tackle this challenge, ...

Artificial intelligence (AI) is already being used to diagnose skin cancer, but it cannot (yet) keep pace with the complex decision-making of doctors in practice. An international research team led by ...

Researchers at DeepSeek released a new experimental model designed to have dramatically lower inference costs when used in ...

Overall, the success of DeepDive not only enhances the intelligence level of deep search agents but also lays a solid foundation for future AI-driven information retrieval. With continuous ...

Thanks to everyone who attended our AI Agenda Live event in New York yesterday! It was incredible to get to meet so many ...

Dopamine is a powerful signal in the brain, influencing our moods, motivations, movements, and more. The neurotransmitter is crucial for reward-based learning, a function that may be disrupted in a ...

These days, artificial intelligence developers, investors and founders are all obsessed with “reinforcement learning,” a ...

DeepSeek-R1 uses reinforcement learning to teach reasoning, showing potential for AI to develop intelligence without human ...