IEEE

AquaVLM: A Domain-Specific Vision–Language Model for Structured Understanding of Oceanarium Scenes

Abstract: Vision-Language Models (VLMs) have advanced cross-modal understanding and generation, yet their domain adaptability remains limited. To address the lack of high-quality captions for fish ...
IEEE

Structured Deep Bilinear Koopman Modeling for Contraction-Based Control of Free-Flying Space Robots

Abstract: This paper addresses the problem of robust end-effector pose control for micro-nano free-flying space robots operating in proximity to targets. To tackle this issue, we propose a ...
GitHub

Encoder-Free Human Motion Understanding via Structured Motion Descriptions

This repository contains the code for converting human motion sequences into Structured Motion Descriptions (SMD) and fine-tuning LLMs with LoRA for motion question answering and captioning. SMD is a ...
theregister

Database world trying to build natural language query systems again – this time with LLMs

Over the past few years, database and analytics vendors have hopped on a bandwagon that may take us all to a destination where common data queries are free from the constraints of the specialist query ...
Brown University

Do AI language models ‘understand’ the real world? On a basic level, they do, a new study finds

New research shows that AI language models can develop a mathematical “understanding” that differentiates between events that are commonplace, improbable, impossible or just plain nonsense. PROVIDENCE ...