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 ...
Semiconductor Engineering

Considerations For Accelerating On-Device Stable Diffusion Models

One of the more powerful – and visually stunning – advances in generative AI has been the development of Stable Diffusion models. These models are used for image generation, image denoising, ...
VentureBeat

Qualcomm and Nokia Bell Labs show how multiple-vendor AI models can work together in wireless networks

Qualcomm and Nokia Bell Labs showed how multiple-vendor AI models can work together in an interoperable way in wireless networks. Carl Nuzman, Bell Labs Fellow at Nokia Bell Labs and Rachel Wang, ...
AV Network

ZeeVee Enhances Encoder-Decoder Line

The What: ZeeVee is introducing the ZyPer4K-XS, smaller-footprint encoder and decoder models with the performance of its premier SDVoE and AVoIP signal distribution solutions. [ZeeVee Upgrades ZyPer ...
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 ...
inc42

What Are Variational Autoencoders? Here’s All You Need to Know

Variational Autoencoders (VAEs) are an artificial neural network architecture to generate new data. They are similar to regular autoencoders, which consist of an encoder and decoder. The encoder takes ...