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" ...
VentureBeat

Meta and Google researchers’ new data curation method could transform self-supervised learning

Want smarter insights in your inbox? Sign up for our weekly newsletters to get only what matters to enterprise AI, data, and security leaders. Subscribe Now As AI researchers and companies race to ...
Nasdaq

Meta announces AI training and inference chip project

NEW YORK, May 18 (Reuters) - Meta Platforms META.O on Thursday shared new details on projects it was pursuing to make its data centers better suited to supporting artificial intelligence work, ...
The Motley Fool

What Is Supervised Machine Learning?

Supervised machine learning uses labeled data to teach algorithms pattern recognition. It improves prediction accuracy in industries like finance and healthcare. Investors can gauge a company's ...
Semiconductor Engineering

How Neural Super Sampling Works: Architecture, Training, And Inference

This blog post is the second in our Neural Super Sampling (NSS) series. The post explores why we introduced NSS and explains its architecture, training, and inference components. In August 2025, we ...
Semiconductor Engineering

How Inferencing Differs From Training in Machine Learning Applications

Machine learning (ML)-based approaches to system development employ a fundamentally different style of programming than historically used in computer science. This approach uses example data to train ...
Reuters

Meta announces AI training and inference chip project

NEW YORK, May 18 (Reuters) - Meta Platforms (META.O), opens new tab on Thursday shared new details on its data center projects to better support artificial intelligence work, including a custom chip ...