The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get ...

Abstract: This study proposes LiP-LLM: integrating linear programming and dependency graph with large language models (LLMs) for multi-robot task planning. For multi-robots to efficiently perform ...

Researchers at Google Cloud and UCLA have proposed a new reinforcement learning framework that significantly improves the ability of language models to learn very challenging multi-step reasoning ...

Artificial intelligence data annotation startup Encord, officially known as Cord Technologies Inc., wants to break down barriers to training multimodal AI models. To do that, it has just released what ...

Introduction: In unsupervised learning, data clustering is essential. However, many current algorithms have issues like early convergence, inadequate local search capabilities, and trouble processing ...

Microsoft-backed (NASDAQ:MSFT) OpenAI's artificial intelligence models scored high enough to earn a first-place human ranking at the 2025 International Collegiate Programming Contest World Finals in ...

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...

Missouri lawmakers have banned educators from leaning on a model of reading instruction called the “three-cueing” method as part of a bipartisan education package signed by Gov. Mike Kehoe on ...

Artificial intelligence is advancing across a wide range of fields, with one of the most important developments being its growing capacity for reasoning. This capability could help AI becomes a ...