Large Language Models (LLMs) have significantly advanced natural language processing (NLP), excelling at text generation, translation, and summarization tasks. However, their ability to engage in ...

Machine learning is transforming the control of particle accelerators, enabling "autonomous driving" for these complex systems. Researchers from the Institute of Modern Physics and Xiamen University ...

The Core of AI Training In the field of artificial intelligence, data is the foundational pillar driving the development of ...

Boston Dynamics released a research version of its Spot quadruped robot, which comes with a low-level application programming interface (API) that allows direct control of Spot’s joints. Even back ...

Panneer Selvam Viswanathan has articulated a vision of intelligent systems that transcend traditional limitations, offering a ...

The BFSI sector continues to adopt AI for fraud detection and risk management, while automotive companies are focusing on reinforcement learning for autonomous driving. The rise of cloud-based AI ...

Agentic AI refers to autonomous GenAI agents that are capable of doing complex tasks with little or no human supervision ...

Abstract: This paper proposes a method that combines imitation learning and reinforcement learning to improve the learning performance of autonomous vehicles. The actor model was pre-trained using ...

Even if its customers keep spending, Nvidia faces growing competitive threats – some more serious than others. One of the leading contenders is US semiconductor designer AMD (US:AMD) . The company ...

Abstract: Ensuring the safety of Deep Reinforcement Learning (DRL) systems remains a significant challenge, particularly in real-time applications such as autonomous driving and robotics, where ...