Highlights•AI enables early detection and large-scale monitoring of stress-related
issues.•LLM improves stress detection using advanced natural language processing …

The proliferation of Large Language Models (LLMs) has s fueled a shift in robot learning
from automation towards general embodied Artificial Intelligence (AI). Adopting foundation …

In this paper, we propose a novel task IntentQA, a special VideoQA task focusing on video
intent reasoning, which has become increasingly important for AI with its advantages in …

This paper explores the emerging knowledge-driven autonomous driving technologies. Our
investigation highlights the limitations of current autonomous driving systems, in particular …

The evolution of artificial intelligence (AI) has profoundly impacted human society, driving
significant advancements in multiple sectors. Yet, the escalating demands on AI have …

During the evolution of large models, performance evaluation is necessary for assessing
their capabilities. However, current model evaluations mainly rely on specific tasks and …

Abstract Artificial General Intelligence (AGI) is the pinnacle of artificial intelligence, intending
to imbue robots with the ability to comprehend, absorb, and apply information throughout a …

Autonomous driving has advanced significantly due to sensors, machine learning, and
artificial intelligence improvements. However, prevailing methods struggle with intricate …

While autonomous driving technology has made remarkable strides, data-driven
approaches still struggle with complex scenarios due to their limited reasoning capabilities …

This study examines the impact of cognitive dissonance on the relationship between
investors' intentions to use AI advice and their investment behaviour in the cryptocurrency …