The Next Web

What’s the transformer machine learning model? And why should you care?

This article is part of Demystifying AI, a series of posts that (try to) disambiguate the jargon and myths surrounding AI. (In partnership with Paperspace) In recent years, the transformer model has ...
Android Police

Transformers: Everything you need to know about the deep learning model

Ben Khalesi writes about where artificial intelligence, consumer tech, and everyday technology intersect for Android Police. With a background in AI and Data Science, he’s great at turning geek speak ...

Rail Vision: Quantum Transportation Unveils Transformer Neural Decoder That Outperforms Classical QEC Algorithms in Simulations

Simulation results show enhanced logical error suppression and real-time decoding potential Ra’anana, Israel, Feb. 05, 2026 ...
Business Insider

Rail Vision: Quantum Transportation Delivers First Transformer-Based Neural Decoder for Universal Quantum Error Correction

Achieves superior decoding accuracy and dramatically improved efficiency compared to leading classical algorithms Ra’anana, Israel, Jan. 15, 2026 (GLOBE NEWSWIRE) -- Rail Vision Ltd. (Nasdaq: RVSN) ...
Semiconductor Engineering

AI Transformer Models Enable Machine Vision Object Detection

The object detection required for machine vision applications such as autonomous driving, smart manufacturing, and surveillance applications depends on AI modeling. The goal now is to improve the ...
Finextra

Can Transformers accelerate the evolution of an Intelligent Bank? – Exploring recent research trends

Machine Learning (ML) has transformed the Banking landscape over the last decade powering organizations to understand customer better, deliver personalized products and services and transform the ...

Agnik International is Developing New Scalable Distributed Machine Learning Architecture for Large Language Models and Physical AI Applications

Agnik International, a leading data science company with market-leading analytic products, today announced that they are developing a new distributed machine learning architecture based on decades of ...