AWS Deep Learning Containers (DLCs) are a set of Docker images for training ... device_types and —py_versions are all comma separated list who’s possible values are as follows: Suppose, if there is a ...

For the retrospective study, an ensemble 3D U-Net deep learning model was trained for lung tumor detection and segmentation using 1,504 CT scans with 1,828 segmented lung tumors. The model was ...

[Notice] This list is not being maintained anymore because of the overwhelming amount of deep learning papers published every day since 2017 ... If you have any suggestions (missing papers, new papers ...

Two recent developments are reshaping the landscape for developers and enterprises alike: DeepSeek’s R1 model release and OpenAI’s new Deep Research ... reinforcement learning (RL) and ...

This approach, known as AI-based precision pathology, offers new possibilities for better patient care. In his thesis, Abhinav Sharma at the Department of Medical Epidemiology and Biostatistics has ...

Abstract: Semantic segmentation is an important computer vision task due to its numerous real-world applications such as autonomous driving, video surveillance, medical image analysis, robotics, ...

OpenAI also launched Deep Research, which is meant to handle complex, multi-step research and which will undoubtedly become a favorite of research-averse students. The new model is available in ...

Aug. 3, 2023 — Deep learning methods have been used to augment existing energy-based physical models in 'do novo' or from-scratch computational protein design, resulting in a 10-fold increase in ...

This week, OpenAI launched its Deep Research feature which can synthesize content from across the web into one detailed report in minutes leveraging a version of the company's latest model ...

We were all expecting OpenAI to announce two new ... training model, OpenAIz used end-to-end reinforcement learning, similar to what the DeepSeek researchers did with their R1 model: Deep Research ...