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 ...

New ‘Test-Time Training’ method lets AI keep learning without exploding inference costs

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" that solves the latency bottleneck of long-document analysis.
EurekAlert!

Building energy efficiency: Enhancing HVAC fault detection with transformer and transfer learning

A recent study has made a significant step forward in improving the energy efficiency of buildings by enhancing the accuracy and adaptability of fault detection and diagnosis (FDD) in heating, ...
EurekAlert!

Research Article | A transformer-based multi-feature fusion method for detecting traffic events using Twitter data

A new study published in Big Earth Data demonstrates that integrating Twitter data with deep learning techniques can ...
VentureBeat

Google’s ‘Nested Learning’ paradigm could solve AI's memory and continual learning problem

Researchers at Google have developed a new AI paradigm aimed at solving one of the biggest limitations in today’s large language models: their inability to learn or update their knowledge after ...