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 ...

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 ...

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 ...

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 ...

The curriculum for 2026-27 is a bold step away from a system dominated by memorisation towards one that values thinking, ...

Foundational models address a fundamental flaw in bespoke AI. But foundational and large language models have limitations. GPT-3, BERT, and DALL·E 2 garnered gushing headlines, but models like these ...