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" ...

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025)

Why reinforcement learning plateaus without representation depth (and other key takeaways from NeurIPS 2025) ...
Tech Xplore on MSN

New memristor training method slashes AI energy use by six orders of magnitude

In a Nature Communications study, researchers from China have developed an error-aware probabilistic update (EaPU) method ...
Tech Xplore on MSN

Model steering is a more efficient way to train AI models

Training artificial intelligence models is costly. Researchers estimate that training costs for the largest frontier models ...
EurekAlert!

AI-based prediction of train-induced environmental vibration with limited measurements

This study presents a transfer learning–based method for predicting train-induced environmental vibration. The method applies ...
scmp.com

DeepSeek proposes shift in AI model development with ‘mHC’ architecture to upgrade ResNet

DeepSeek’s latest technical paper, co-authored by the firm’s founder and CEO Liang Wenfeng, has been cited as a potential game changer in developing artificial intelligence models, as it could ...
Hosted on MSN

MPD: Man using cellphone fatally struck by train

The police are reporting a railroad-pedestrian accident resulting in a fatality in Midland. According to the Midland Police Department, 23-year-old Ryan Livingston was using his cellphone while close ...