Latest AI and machine learning research in medical education for healthcare professionals.
Closed-loop evaluation of end-to-end (E2E) driving systems typically relies on generating sensor obs...
Agentic visual generation produces experience that can improve the native understanding (agent) and ...
Deep reinforcement learning has shown strong potential for vision-based autonomous driving, but poli...
Understanding how receptor-level modulation reorganizes large-scale brain circuits remains a central...
Single-cell trajectory inference maps transcriptomic measurements onto developmental continua, yet c...
We propose Fresco++, a unified optimization framework for fine-grained and view-consistent head avat...
Medical large language models (LLMs) have shown promise in medical knowledge retrieval and clinical ...
Visual in-context learning (ICL), well suited to label-scarce medical imaging, uses support image-la...
Coding agents powered by large language models (LLMs) have shown remarkable abilities to autonomousl...
Conventional image forgery detection methods produce binary scores or pixel-level masks without inte...
In realistic education, a solution is often expressed not only in words but in a drawing--a circuit,...
Spatial reasoning is fundamental to general robot intelligence, as it enables robots to complete lon...
Closed-loop driving simulation requires rendered observations to remain reliable as the ego vehicle ...
Large language model (LLM)-based generative agents can reproduce aspects of individual human behavio...
Intuitive physical reasoning is an important part of daily life, but the computations underlying it ...
Humanoid locomotion over complex terrain requires anticipating footholds that may no longer be visib...
Artificial intelligence (AI) is increasingly embedded in U.S. emergency department workflows, but no...
Active perception allows autonomous agents to select their viewpoints rather than passively process ...
The ambition of the 2025 PNPL competition (Landau et al., 2025) was to launch a multi-year curriculu...
This paper presents a low-cost, open experimental platform for research in end-to-end autonomous dri...
Using a zoom-in tool is an important foundational part of modern visual agents, because it allows to...