Energy efficiency alone cannot justify trade-offs that might undermine safety. To ensure robust performance under all conditions, the researchers integrated a reinforcement learning–based decision ...

Abstract: In the era of large-scale machine learning, large-scale clusters are extensively used for data processing jobs. However, the state-of-the-art heuristic-based and Deep Reinforcement Learning ...

Reinforcement learning has long been one of artificial intelligence's most promising yet an under explored fields. This is the technology behind the most incredible AI achievements, from algorithms ...

Nowadays, compute-intensive programs, like those for training artificial intelligence and machine learning models, are used extensively. Modern ...

Discover Andrej Karpathy's insights on AI agents, LLMs, and economic growth. Insights on memory, education, and economic ...

Prediction of crystal structures of organic molecules is a critical task in many industries, especially in pharmaceuticals ...

In recent years, the field of robotics has undergone significant transformation, driven increasingly by advances in brain-inspired and neurally grounded ...

Abstract: In the rapidly evolving field of Internet of Vehicles technology, Cellular Vehicle-to-Everything (C-V2X) communication has garnered considerable attention due to its superior performance in ...

A survey of reasoning behaviour in medical large language models uncovers emerging trends, highlights open challenges, and introduces theoretical frameworks that enhance reasoning behaviour ...

Featuring AI-powered role-play simulations, the app allows learners to practise recognising distress and offering empathetic ...