What is a transformer in artificial intelligence, and why is it the base of most modern AI models?

Transformer in Artificial Intelligence powers over 90% of modern AI models today. Introduced by researchers at Google in 2017, the Transformer architecture changed machine learning forever. It helps ...
IEEE

HiTrans-SAM: Hierarchical Transformer Encoder and SAM-Augmented Inputs for Multi-Scale Remote Sensing Image Segmentation

Abstract: Semantic segmentation of remote sensing images is challenging due to complex scenes, substantial variations in object scales, and ambiguous boundaries. In this study, we propose a novel ...

The 12 Research Papers That Influenced AI Development Over The Last 6 Years

Over the past six years, artificial intelligence has been significantly influenced by 12 foundational research papers. One ...
i-SCOOP

Attention is all you need, the Paper that revolutionized Natural Language Processing

Discover the groundbreaking concepts behind "Attention Is All You Need," the 2017 Google paper that introduced the ...
Neuroscience News

What an AI Birdsong Decoder Tells Us About the Human Brain

Researchers develop TweetyBERT, an AI model that automatically decodes canary songs to help neuroscientists understand the neural basis of speech.
IEEE

DTSF-CDNet: A Dual-Branch Encoder-Decoder Network with Differential Transformer Skip Fusion for Image Change Detection

Abstract: Change detection plays a vital role in numerous real-world domains, aiming to accurately identify regions that have changed between two temporally distinct images. Capturing the complex ...
Business Insider

Viewbix: Quantum Transportation Completes First Milestone in Transformer-Based Quantum Decoder Program, Securing Key IP License from Ramot at Tel Aviv University

Tel Aviv, Israel, Jan. 16, 2026 (GLOBE NEWSWIRE) -- Viewbix Inc. (Nasdaq: VBIX) (“Viewbix” or the “Company”), an advanced technologies company, today ...
Hosted on MSN

Transformer encoder architecture explained simply

We break down the Encoder architecture in Transformers, layer by layer! If you've ever wondered how models like BERT and GPT process text, this is your ultimate guide. We look at the entire design of ...
Frontiers

A combined approach to lithology identification using reinforcement learning and transformer algorithms

Lithology identification plays a pivotal role in logging interpretation during drilling operations, directly influencing drilling decisions and efficiency. Conventional lithology identification ...