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" ...
Forbes

HBM And Emerging Memory Technologies Enable AI Training And Inference

Forbes contributors publish independent expert analyses and insights. During congressional hearing in the House of Representatives’ Energy & Commerce Committee Subcommittee of Communication and ...
The Next Platform

With MTIA v2 Chip, Meta Can Do AI Inference, But Not Training

If you control your code base and you have only a handful of applications that run at massive scale – what some have called hyperscale – then you, too, can win the Chip Jackpot like Meta Platforms and ...
The Next Platform

For Financial Services Firms, AI Inference Is As Challenging As Training

A decade ago, when traditional machine learning techniques were first being commercialized, training was incredibly hard and expensive, but because models were relatively small, inference – running ...
Digital Journal

AI Inference vs. AI Training: What Are the Differences?

Artificial intelligence has many uses in daily life. From personalized shopping suggestions to voice assistants and real-time fraud detection, AI is working behind the scenes to make experiences ...
Computer Weekly

Green coding - smartR AI: Cleaning up AI training & inference

The latest trends in software development from the Computer Weekly Application Developer Network. This is a guest post for the Computer Weekly Developer Network written by Oliver King-Smith, founder ...
CMS Wire

Artificial General Intelligence: Jumping to the New Inference Market S-Curve

Historically, we have used the Turing test as the measurement to determine if a system has reached artificial general intelligence. Created by Alan Turing in 1950 and originally called the “Imitation ...
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 ...