Nearly 50 new cancer therapies are approved every year. This is good news. "But for patients and their treating physicians, ...

Abstract: Video inpainting techniques typically serve to restore destroyed or missing regions in digital videos. However, such techniques may also be illegally used to remove important objects for ...

Transfer learning has transformed the functioning of deep learning, leveraging the process of training machine learning models. With transfer learning, you don't need to start everything from scratch.

Tracking human behavioral patterns in cities can be used to determine urban delineations and urban land use, which has the potential to improve urban planning. Urban areas are human settlements, ...

Abstract: In recent years, deep learning has become the standard approach for fault diagnosis in mechanical equipment, with models becoming increasingly complex and large in scale. Through a thorough ...

This repository is the official implementation of Boosting Efficient Reinforcement Learning for Vision-and-Language Navigation With Open-Sourced LLM. We opt for a simple reward function for two main ...

From a neuroscience perspective, artificial neural networks are regarded as abstract models of biological neurons, yet they rely on biologically implausible backpropagation for training. Energy-based ...

Background: Embodied learning has attracted considerable attention in recent years. However, there is no academic consensus on whether embodied learning effectively enhances students’ learning ...