Pleias emphasizes the models’ suitability for integration into search-augmented assistants, educational tools, and user support systems.

Computer scientist David Silver was a key developer behind AlphaGo, the pivotal Go-playing program that defeated world ...

RAGEN stands out not just as a technical contribution but as a conceptual step toward more autonomous, reasoning-capable AI agents.

Let’s move on to temporal difference learning (TD learning), which is a subset of reinforcement learning that was the focus ...

@article{zhang2023pfllib, title={PFLlib: A Beginner-Friendly and Comprehensive Personalized Federated Learning Library and Benchmark}, author={Zhang, Jianqing and Liu, Yang and Hua, Yang and Wang, Hao ...

Machine learning is no longer just a tech buzzword. Businesses face constant pressure to stay competitive in an ever-changing digital environment. Many feel overwhelmed by the rapid pace of change […] ...

AI is graduating from recognition to reasoning—and organizations must follow suit by scaling their computing power with ...

These days Large Language Models (LLMs) are nothing short of revolutionary, though they have been around since 1996 (ELIZA, ...

By categorizing and filtering user input, you can better focus on driving AI improvement. This iterative process—blending automation with human review—ensures AI learns from high-quality data, leading ...

In an era where cloud-native architectures are at the forefront of digital transformation, regulatory compliance has become ...

To address these problems, we propose a Multi-agent Collaborative Method for vehicular task offloading using Federated Deep Reinforcement Learning called MCM-FDRL. First, each vehicle as an agent, ...

The role of artificial intelligence (AI) in education continues to change as teachers and parents learn how it can be used in classrooms and other learning environments. For Assistant Professor Ying ...