Latest AI and machine learning research in medical education for healthcare professionals.
Acquiring real-world robotic simulation data through teleoperation is notoriously time-consuming a...
Multi-arm bandit experimental designs are increasingly being adopted over standard randomized tria...
We present pyCub, an open-source physics-based simulation of the humanoid robot iCub, along with e...
DeepSeek-R1 is a cutting-edge open-source large language model (LLM) developed by DeepSeek, showca...
The advent of multimodal large language models (MLLMs) has sparked interest in their application t...
The generation and editing of audio-conditioned talking portraits guided by multimodal inputs, inc...
This data article describes a dataset generated by using SCAPS-1D simulation software to capture pho...
In a rapidly evolving healthcare environment, artificial intelligence (AI) is transforming diagnosti...
The integration of generative artificial intelligence (AI) holds the potential to impact teaching an...
This paper presents a theoretical framework for addressing the challenges posed by generative arti...
Objective: While recent advances in text-conditioned generative models have enabled the synthesis ...
Computer-Aided Design (CAD) plays a pivotal role in industrial manufacturing. Orthographic project...
Medical Large Vision-Language Models (Med-LVLMs) have shown strong potential in multimodal diagnos...
Constrained by the cost and ethical concerns of involving real seekers in AI-driven mental health,...
To adapt large language models (LLMs) to ranking tasks, existing list-wise methods, represented by...
Hybrid systems are mostly modelled, simulated, and verified in the time domain by computer scienti...
Multimodal hallucination in multimodal large language models (MLLMs) restricts the correctness of ...
Precision agriculture requires efficient autonomous systems for crop monitoring, where agents must...
Large language models (LLMs) have been extensively evaluated on medical question answering tasks b...
Differentiable optics, as an emerging paradigm that jointly optimizes optics and (optional) image ...
Traditional sentiment analysis relies on surface-level linguistic patterns and retrospective data,...