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" ...
CIO

Understanding transformers: What every leader should know about the architecture powering GenAI

GenAI isn’t magic — it’s transformers using attention to understand context at scale. Knowing how they work will help CIOs ...
The Next Web

Understanding Transformers, the machine learning model behind GPT-3

You know that expression When you have a hammer, everything looks like a nail? Well, in machine learning, it seems like we really have discovered a magical hammer for which everything is, in fact, a ...
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 ...
Risk

Trading with the momentum transformer: an interpretable deep learning architecture

Kieran Wood, Sven Giegerich, Stephen Roberts and Stefan Zohren introduce the ‘momentum transformer’, an attention-based deep-learning architecture that outperforms benchmark time series momentum and ...
AZoLifeSciences on MSN

Deep learning–based codon optimization framework boosts protein expression in E coli

By combining Transformer-based sequence modeling with a novel conditional probability strategy, the approach overcomes ...