Finextra

Vision Transformer in Computer Vision: Transforming the way, we look at Images

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 ...
InfoQ

Google AI Unveils Muse, a New Text-to-Image Transformer Model

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
VentureBeat

Meta’s Transfusion model handles text and images in a single architecture

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Multi-modal models that can process both ...
EurekAlert!

A novel deep learning model for medical image segmentation with convolutional neural network and transformer

Accurate segmentation of medical images is essential for clinical decision-making, and deep learning techniques have shown remarkable results in this area. However, existing segmentation models that ...
VentureBeat

A look under the hood of transfomers, the engine driving AI model evolution

Today, virtually every cutting-edge AI product and model uses a transformer architecture. Large language models (LLMs) such as GPT-4o, LLaMA, Gemini and Claude are all transformer-based, and other AI ...
Embedded

AI chip features hardware support for transformer models

Perceive, the AI chip startup spun out of Xperi, has released a second chip with hardware support for transformers, including large language models (LLMs) at the edge. The company demonstrated ...