Latest AI and machine learning research in medical education for healthcare professionals.
Deep Learning has shown outstanding results in computer vision tasks; healthcare is no exception. However, there is no straightforward way to expose the decision-making process of DL models. Good accuracy is not enough for skin cancer predictions. Understanding the model's behavior is crucial for clinical application and reliable outcomes. In this work, we identify desiderata for explanations in...
In this issue of Neuron, Chiappa et al. describe how neural networks can be trained to perform complex hand motor skills. A key to their approach is curriculum learning, breaking learning into stages, leading to good control.
Open compound domain adaptation (OCDA) is a practical domain adaptation problem that consists of a source domain, target compound domain, and unseen...
Recovering a physics-driven model, i.e. a governing set of equations of the underlying dynamical systems, from the real-world data has been of recen...
Vision-based tactile sensors, through high-resolution optical measurements, can effectively perceive the geometric shape of objects and the force in...
Vessel dynamics simulation is vital in studying the relationship between geometry and vascular disease progression. Reliable dynamics simulation rel...
Drone Visual Active Tracking aims to autonomously follow a target object by controlling the motion system based on visual observations, providing a ...
Harnessing low-light enhancement and domain adaptation, nighttime UAV tracking has made substantial strides. However, over-reliance on image enhance...
The integration of new literature into the English curriculum remains a challenge since educators often lack scalable tools to rapidly evaluate read...
Detecting AI-generated images, particularly deepfakes, has become increasingly crucial, with the primary challenge being the generalization to previ...
Nanorobots are a promising development in targeted drug delivery and the treatment of neurological disorders, with potential for crossing the blood-...
Testing autonomous robotic manipulators is challenging due to the complex software interactions between vision and control components. A crucial ele...
We introduce the concept of a generative infinite game, a video game that transcends the traditional boundaries of finite, hard-coded systems by usi...
Large language models (LLMs) are becoming increasingly better at a wide range of Natural Language Processing tasks (NLP), such as text generation an...
The Instruction-Driven Game Engine (IDGE) project aims to democratize game development by enabling a large language model (LLM) to follow free-form ...
The proliferation of fake news in the digital age has raised critical concerns, particularly regarding its impact on societal trust and democratic p...
Interactive dynamic simulators are an accelerator for developing novel robotic control algorithms and complex systems involving humans and robots. I...
We propose a data-driven viscosity solver based on U-shaped convolutional neural network to predict velocity changes due to viscosity. Our solver ta...
This paper describes an online tool for the visualization of medical emergency locations, randomly generated sample paths of medical emergencies, an...
Fungal simulation and control are considered crucial techniques in Bio-Art creation. However, coding algorithms for reliable fungal simulations have...