Abstract: The landing zone detection and realization for a multi-rotor vehicle is a task fraught with challenges specially in environments ridden with obstacles where the complexity level is escalated ...

Identifying vulnerabilities is good for public safety, industry, and the scientists making these models.

Researchers from the University of Maryland, Lawrence Livermore, Columbia and TogetherAI have developed a training technique that triples LLM inference speed without auxiliary models or infrastructure ...

Apply visibility rules to individual choices, not just entire fields Use ALL (AND) or ANY (OR) logic types for flexible rule combinations Chain dependent dropdowns ...

Abstract: In multi-robot systems, the successful execution of tasks typically depends on predefined instructions. However, existing approaches encounter substantial challenges in dynamic environments, ...

Current Multimodal Large Language Models (MLLMs) struggle with long videos because they typically rely on uniform frame sampling and single-turn inference. This approach often dilutes critical visual ...