AI tasks that work well with reinforcement learning are getting better fast — and threatening to leave the rest of the industry behind.

For a long time, the core idea in reinforcement learning (RL) was that AI agents should learn every new task from scratch, like a blank slate. This "tabula rasa" approach led to amazing achievements, ...

Ant Group, an affiliate of Alibaba, released Ring-1T which it says is the first trillion parameter open-source model.

LLM papers according to arXiv trends. This is driven by foundation model scale and multimodal extensions. However, ...

These tools will be used to map the moments that the neurons begin to communicate and function. The organoids will be trained ...

A prominent Chinese artificial intelligence researcher has criticised Meta Platforms after being laid off alongside hundreds ...

Discover UPSC toppers’ last 30 days strategy with focused revision, answer writing practice, current affairs updates, and ...

The authors found that, compared to traditional extended learning techniques, microlearning addressed the research which ...

The use of artificial intelligence applications in business is growing, but AI and machine-learning aren't yet an efficient use for every business task, according to an infographic. Published by ...

Many businesses invest significant resources in developing online training and professional development courses. Yet, workers often disengage before completing them. What can you do to combat that ...

Abstract: Integrating learning-based techniques, especially reinforcement learning, into robotics is promising for solving complex problems in unstructured environments. Most of the existing ...

Abstract: This paper proposes a hierarchical safe reinforcement learning with prescribed performance control (HSRL-PPC) scheme to address the challenges of interconnected leader-follower systems ...