Explore the latest peer-reviewed research with AI-generated summaries, key findings, and insights for easy understanding. All content is legally sourced from academic metadata with links to original papers.
In a short span of time since its introduction, generative artificial intelligence (AI) has garnered much interest at both personal and organizational levels. In view of this, the current article brin...
Abstract The Pharma Proteomics Project is a precompetitive biopharmaceutical consortium characterizing the plasma proteomic profiles of 54,219 UK Biobank participants. We demonstrate the utility of th...
The Central Brain Tumor Registry of the United States (CBTRUS), in collaboration with the Centers for Disease Control and Prevention and the National Cancer Institute, is the largest population-based...
We introduce the Segment Anything (SA) project: a new task, model, and dataset for image segmentation. We are releasing the Segment Anything Model (SAM) and corresponding dataset (SA-1B) of 1B masks a...
We present ControlNet, a neural network architecture to add spatial conditioning controls to large, pretrained text-to-image diffusion models. We show that the training of ControlNets is robust with s...
Thematic analysis is a highly popular technique among qualitative researchers for analyzing qualitative data, which usually comprises thick descriptive data. By providing a methodological roadmap, thi...
BACKGROUND: Preterm birth is the leading cause of neonatal mortality and is associated with long-term physical, neurodevelopmental, and socioeconomic effects. Investments in improving data quality are...
We explore a new class of diffusion models based on the transformer architecture. We find that DiTs with higher Gflops—through increased transformer depth/width or increased number of input tokens—con...
We introduce LightGlue, a deep neural network that learns to match local features across images. This opens up exciting prospects for deploying deep matchers in latency-sensitive applications like 3D...
Recent research on remote sensing object detection has largely focused on improving the representation of oriented bounding boxes but has overlooked the unique prior knowledge presented in remote sens...
We introduce Zero-1-to-3, a framework for changing the camera viewpoint of an object given just a single RGB image. Our viewpoint-conditioned diffusion approach can further be used for the task of 3D...
When enhancing low-light images, many deep learning algorithms are based on the Retinex theory. The user study and application on low-light object detection also reveal the latent practical values of...
We propose a simple pairwise sigmoid loss for imagetext pre-training. Finally, we push the batch size to the extreme, up to one million, and find that the benefits of growing batch size quickly dimini...
At medical school, there is a phrase to help us remember that common things are common: 'If you hear hooves think horses, not zebras'. Our case demonstrates how a rare diagnosis can present with commo...
Precision medicine for cancer is rapidly moving to an approach that integrates multiple dimensions of the biology in order to model mechanisms of cancer progression in each patient. The advent of abun...
Diffusion models have emerged as a powerful new family of deep generative models with record-breaking performance in many applications, including image synthesis, video generation, and molecule design...
There is an increasingly urgent need of lightweight components in aerospace industry, among which aluminum (Al) alloys have been the optimal materials of choice for aircraft structural parts since bei...
Case study research is a method of research using case studies that has gained a spotlight within social science. In this special issue, we summarize findings from case study research based on the met...
Simple analytical solutions exist for the deflection by line loads of thin elastic beams that overlie an inviscid fluid substrate. Foremost among them are finite difference techniques, and both two- a...
Abstract Due to the rapidly increasing demand for electric vehicles, the need for battery cells is also increasing considerably. On the macro-economic level, we find that the energy consumption for th...