More information: Huynh Phuong Thanh Nguyen et al, PenGym: Realistic training environment for reinforcement learning pentesting agents, Computers & Security (2024). DOI: 10.1016/j.cose.2024.104140 ...

AI agents perceive their environment, make decisions, and take action, while agentic AI operates with greater autonomy, proactiveness, and adaptability. It improves traditional AI by ...

DeepSeek-R1 is the groundbreaking reasoning model introduced by China-based DeepSeek AI Lab. This model sets a new benchmark ...

To counter the sophisticated threats posed by advanced backdoor frameworks like UNIDOOR, the study underscores the importance ...

AI agents trained in simulations that differ from the environments where they are deployed sometimes perform better than agents trained and deployed in the same environment, research shows.

Researchers discovered a phenomenon called the "indoor training effect," which suggests that AI agents can perform better ...