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" ...
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 ...
InfoQ

Bringing AI Inference to Java with ONNX: a Practical Guide for Enterprise Architects

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
insideHPC

MLPerf Results Highlight Advances in Machine Learning Inference Performance and Efficiency

SAN FRANCISCO – April 6, 2022 – Today MLCommons, an open engineering consortium, released new results for three MLPerf benchmark suites – Inference v2.0, Mobile v2.0, and Tiny v0.7. MLCommons said the ...
ZDNet

Bringing Deep Learning to your hardware of choice, one DeciNet at a time

Deep Learning is probably the most popular form of machine learning at this time. Although not every problem boils down to a deep learning model, in domains such as computer vision and natural ...
Machine Design

A Breakthrough Machine Vision Architecture

Learn why PC-based Machine Vision Software is superior to Smart Cameras when determinism is required in high precision machines or processes. Machine vision is used to nearly all manufacturing ...