Latest AI and machine learning research in work force for healthcare professionals.
In recent years, Multimodal Large Language Models (MLLM) have achieved notable advancements, demon...
While one commonly trains large diffusion models by collecting datasets on target downstream tasks...
Score distillation of 2D diffusion models has proven to be a powerful mechanism to guide 3D optimi...
With the rapid advancements in Large Language Models (LLMs), LLM-based agents have introduced conv...
Surgical interventions, particularly in neurology, represent complex and high-stakes scenarios tha...
Large Language Models (LLMs) have been widely used in various tasks, motivating us to develop an L...
The increasing shortage of nursing staff and the acute risk of falls in nursing homes pose signifi...
The integration of conversational agents into our daily lives has become increasingly common, yet ...
Influenced by the complexity of volumetric imaging, there is a shortage of established datasets us...
The rapid advancement of generative models in creating highly realistic images poses substantial r...
Cross-scene image classification aims to transfer prior knowledge of ground materials to annotate ...
With the rapid advancement of multimodal information retrieval, increasingly complex retrieval tas...
The field of traumatic hemostasis is currently confronted with numerous challenges, particularly in ...
Histomorphometry is an important technique in the evaluation of non-traumatic osteonecrosis of the f...
To navigate complex terrains, insects use diverse tarsal structures (adhesive pads, claws, spines) t...
Event cameras operate fundamentally differently from traditional Active Pixel Sensor (APS) cameras...
Artificial intelligence and machine learning (AI/ML) can be used to automatically analyze large imag...
To tackle the challenges of large language model performance in natural language to SQL tasks, we ...
Back propagation (BP) is the default solution for gradient computation in neural network training....
Text-conditioned generation models are commonly evaluated based on the quality of the generated da...
For millennia, the ethos of "First, Do No Harm", attributed to Hippocrates, has been a cornerstone o...