BIOENGINEER

Vision Transformers Team Up With CNNs to Sharpen Blurry Ultrasound Images

Korean researchers have built a hybrid Vision Transformer and CNN generative model that enhances ultrasound image quality ...
InfoWorld

The most popular neural network styles and how they work

Learn about the most prominent types of modern neural networks such as feedforward, recurrent, convolutional, and transformer networks, and their use cases in modern AI. Neural networks are the ...
AndroGuider

Ben Affleck’s AI Expertise Goes Viral: From Neural Networks to Open-Weight Models

AndroGuider is a blog where you can scoop your daily need of tech information with some dose of special reviews and custom ...
Phys.org

Transformer AI models outperform neural networks in stock market prediction, study shows

Like other sectors of society, artificial intelligence is fundamentally changing how investors, traders and companies make decisions in financial markets. AI models have the ability to analyze massive ...

Reading 'Attention Is All You Need' Through Diagrams | Proposal, Verification, and Results of the Transformer

The recommended paper for October 7, 2026, is Vaswani et al.'s 'Attention Is All You Need' (2017). Regarding this paper, which proposed the Transformer (a neural network composed primarily of ...
VentureBeat

Google's new neural-net LLM architecture separates memory components to control exploding costs of capacity and compute

A new neural-network architecture developed by researchers at Google might solve one of the great challenges for large language models (LLMs): extending their memory at inference time without ...
newswise

Multi-step photovoltaic power forecasting using transformer and recurrent neural networks

Newswise — Affordable and clean energy is an important UN sustainable development goal. Solar energy is more difficult to control than fossil fuels, highlighting the need for accurate solar power ...