Android Police

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

I’ve been covering Android since 2023, when I joined Android Police, mostly focusing on AI and everything around Pixel and Galaxy phones. I’ve got a bachelor’s in IT with a major in AI, so I naturally ...
Communications of the ACM

Beyond LLMs: A Post-Transformer World Emerges

The rapid ascent of large language models (LLMs)—and their growing role in everyday life—masks a fundamental problem: ...
VentureBeat

Open source Mamba 3 arrives to surpass Transformer architecture with nearly 4% improved language modeling, reduced latency

The generative AI era began for most people with the launch of OpenAI's ChatGPT in late 2022, but the underlying technology — the "Transformer" neural network architecture that allows AI models to ...
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 ...
inc42

What Are Transformer-Based Models? Here’s All You Need to Know

What Is A Transformer-Based Model? Transformer-based models are a powerful type of neural network architecture that has revolutionised the field of natural language processing (NLP) in recent years.
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 ...
Hosted on MSN

AI Researchers Are Confronting the Gap Between Neural Network Power and True Generalization

In 2026, neural networks are achieving unprecedented capabilities across industries, yet large-scale tests reveal persistent struggles with generalization. Researchers are exploring adaptive ...
Hosted on MSN

KAUST unveils 'super transformer' to unify biology's fragmented data

Researchers at KAUST have proposed a 'super transformer' AI model designed to integrate diverse biological data types into a single framework. Published in Nature Methods, the architecture aims to ...