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 ...

Autonomous yard operations leader Outrider recently announced an industry-first deployment of advanced reinforcement learning (RL) techniques across its customer sites.

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 ...

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

In this modern era, the evolution of artificial intelligence has brought significant advancements, with agentic frameworks at ...

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

Algorithm Selection: Based on the nature of the problem, data scientists select appropriate algorithms, such as reinforcement learning for autonomous ... the unsung heroes driving the adoption ...

AI is transforming climate science and energy management by enhancing predictive modeling, optimizing renewable energy ...

The first working day after the Lunar New Year break at DeepSeek began where the Chinese start-up left off last week, with more plaudits heaped on its highly touted feat of building powerful and more ...

For example, the idea of “decentralized AI” echoes some of the work of Marvin Minsky himself in his book, “Society of mind.” ...

Abstract: Autonomous vehicles trained through multiagent reinforcement learning (MARL) have shown impressive results in many driving scenarios. However, the performance of these trained policies can ...