It is the subfield of computer science that focuses on creating systems capable of intelligent behavior, including problem solving, learning, adaptation, perception, and language understanding.
The article discusses the limitations of Large Language Models (LLMs) and Vision Models (LVMs) in capturing holistic meaning in multimodal online marketing campaigns. The authors propose a framework that combines…
Continue readingThe article discusses the potential of Large Language Models (LLMs) in providing decision support for workers in hybrid work environments, particularly in terms of workspace selection. The study involved an…
Continue readingThe paper presents a digital twin mobility profiling (DTMP) framework for intelligent transportation systems. It uses the concept of a ‘digital twin’, a virtual representation of a network, to simulate…
Continue readingThe study presents a novel approach to legal reasoning, integrating AI to navigate complexities and biases in global jurisprudence. It leverages advanced language models and a human-AI collaborative framework. The…
Continue readingThe article presents GenLens – a tool for evaluating Generative AI (GenAI) model outputs. It fills a gap in the evaluation of GenAI output during the model development process, which…
Continue readingThe paper focuses on the potential benefits and challenges of integrating Large Language Models (LLMs) into Extended Reality (XR) environments. The authors argue that embedding LLMs into XR can lead…
Continue readingThis research investigates how different observation spaces affect robot learning. The authors focus on three main modalities: RGB, RGB-D, and point cloud. Through extensive testing on various tasks, they found…
Continue readingThe paper presents a Simple and efficient Motion Prediction baseLine (SIMPL) for autonomous vehicles. SIMPL provides real-time, accurate motion predictions for all relevant traffic participants. It does this through a…
Continue readingThe paper discusses the challenges of optimizing the cost function parameters of Model Predictive Control (MPC) for autonomous vehicles. The authors propose using Reinforcement Learning (RL) to learn optimal parameter…
Continue readingThis study presents a novel attempt to replicate human neuromechanical experiments in a virtual environment using a digital twin of the human model. The model was enhanced using a human…
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