In this article, we have curated a list of free robotics courses from leading platforms and universities. So let's get ...

The rStar2-Agent framework boosts a 14B model to outperform a 671B giant, offering a path to state-of-the-art AI without ...

At the advanced level, deep learning and reinforcement learning are applied for real-time personalization, dynamic pricing, and multimodal coordination. These models enable transport systems to adapt ...

RL, aimed at enhancing the decision-making capabilities of Large Language Models (LLMs). As artificial intelligence technology continues to evolve, developing large-scale language model agents that ...

Abstract: Efficient and scalable radio resource allocation is essential for the success of wireless cellular networks. This paper presents a fully scalable multi-agent reinforcement learning (MARL) ...

Abstract: This study introduces a novel finite time fault tolerant controller integrating nonsingular terminal sliding mode (NTSM) and reinforcement learning (RL) strategies for manipulator systems ...

Here is how hardware security has become a major consideration in motor-control subsystems serving robotics and e-mobility.

For all their technological brilliance, from navigating distant planets to performing complex surgery, robots still struggle ...

NVIDIA is developing the next generation of AI by teaching it the fundamentals of human behavior, starting with something as ...

The sound reinforcement market is gaining strong momentum as the demand for high-quality audio solutions across live events, commercial spaces, and entertainment venues continues to grow. Designed to ...

Trainers say dog obedience improves safety for owners and communities. Explore why well-trained pets help create safer shared spaces.