This project implements an automatic image captioning system that balances accuracy and computational cost by combining a frozen ResNet–50 encoder with a one-layer LSTM decoder. There is a version ...

The model aims ... questions in the medical domain. Earlier, the Mumbai-based AI startup developed and rolled out Kalaido.ai, an AI-powered model in India that can generate images from languages.

According to new research published in ... Artificial intelligence (AI) shows tremendous promise for analyzing vast medical imaging datasets and identifying patterns that may be missed by human ...

Diffusion Transformers have demonstrated outstanding performance in image generation tasks ... (DDT), which separates the model into a dedicated condition encoder for semantic extraction and a ...

OpenAI has made its multimodal image generation model, GPT-Image-1, available to developers through ... The technology is not suitable for medical images, CAPTCHAs, or tasks that require high spatial ...

Apr. 22, 2025 — One of the challenges of fighting pancreatic cancer is finding ways to penetrate the organ's dense tissue to define the margins between malignant and normal tissue. A new study ...

The University of Alabama at Birmingham Spinal Cord Injury Model System (UAB-SCIMS) maintains this Information Network as a resource to promote knowledge in the areas of research, health and quality ...

Scientists from St. Jude Children's Research Hospital and the Medical College of Wisconsin have created a data science framework to better understand how cells travel through the body. An ...

With features like air conduction (AC), bone conduction (BC), and speech testing, the Model 270 is perfect for audiologists and hearing health professionals working in offices or clinics or traveling.

What's CODE SWITCH? It's the fearless conversations about race that you've been waiting for. Hosted by journalists of color, our podcast tackles the subject of race with empathy and humor.

thus fostering the model to focus on the domain-invariant semantic features. Our method surpasses state-of-the-art methods on two cross-modality medical image segmentation datasets.