Results of a set of experiments found that individuals learning about a topic from large language model summaries develop ...

Machine learning can help predict whether people newly diagnosed with MS will experience disability worsening that occurs ...

After a booming post-pandemic job market, 2025 saw a slowdown in the job market, according to the U.S. Bureau of Labor ...

WiMi Studies Quantum Hybrid Neural Network Model to Empower Intelligent Image Classification BEIJING, Jan. 15, 2026––WiMi Hologram Cloud Inc. (NASDAQ: WiMi) ("WiMi" or the "Company"), a leading global ...

These open-source MMM tools solve different measurement problems, from budget optimization to forecasting and preprocessing.

O n Tuesday, researchers at Stanford and Yale revealed something that AI companies would prefer to keep hidden. Four popular ...

The SleepFM model reveals how sleep analysis can predict disease risk, offering insights into sleep's role as a vital health ...

By allowing models to actively update their weights during inference, Test-Time Training (TTT) creates a "compressed memory" ...

This repository contains the technical implementation of the paper Statistical Test-based Adversarial Client Detection in Federated Learning under Poisoning Attacks, as well as proof of its results.

Abstract: Domain adaptation has found widespread applications in real-life scenarios, especially when the target domain has limited labeled samples. However, most of the domain adaptation models only ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...