The conversation around Artificial Intelligence usually revolves around technology-focused topics: machine learning, conversational interfaces, autonomous agents, and other aspects of data science, ...

Researchers at Nvidia have developed a new technique that flips the script on how large language models (LLMs) learn to reason. The method, called reinforcement learning pre-training (RLP), integrates ...

Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Researchers at the University of Texas have discovered a new way for ...

In the 1970s, the late mathematician Paul Cohen, the only person to ever win a Fields Medal for work in mathematical logic, reportedly made a sweeping prediction that continues to excite and irritate ...

ABductive Learning (ABL) is a paradigm that integrates machine learning and logical reasoning in a unified framework. To facilitate the research and application of abductive learning, a research team ...

The 2026 Machine Learning Revolution: From Generative Chatbots to Autonomous Reasoning Agents The first quarter of 2026 has marked a ...

Twenty years ago, a pair of researchers in England reported on a series of experiments in which they showed that very young children could, in the context of play, solve logic problems that they ...

Causal learning and reasoning are fundamental cognitive skills that emerge early in childhood. These processes enable young learners to decipher the relationships between events, actions and outcomes, ...

With the emergence of huge amounts of heterogeneous multi-modal data, including images, videos, texts/languages, audios, and multi-sensor data, deep learning-based methods have shown promising ...