Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...

Vision Transformers, or ViTs, are a groundbreaking learning model designed for tasks in computer vision, particularly image recognition. Unlike CNNs, which use convolutions for image processing, ViTs ...

Overview: Computer vision enables real-time decisions across industries such as healthcare, retail, and transport with ...

Tyche is a machine-learning framework that can generate plausible answers when asked to identify potential disease in medical images. By capturing the ambiguity in images, the technique could prevent ...

Google has launched MedGemma 1.5 and MedASR, two open AI models for healthcare research. The tools focus on analysing medical ...

Researchers made a technique that improves the trustworthiness of machine-learning models, which could help improve the accuracy and reliability of AI predictions for high-stakes settings such health ...

After radiation therapy, certain cancer patients face a lingering question: Is a troubling lesion a return of the cancer, or ...

Vision language models (VLMs) have made impressive strides over the past year, but can they handle real-world enterprise challenges? All signs point to yes, with one caveat: They still need maturing ...

Meta, led by Mark Zuckerberg, has introduced the Segment Anything Model 2 (SAM 2), a significant advancement in computer vision AI. This model is designed for real-time prompt object segmentation in ...