Kumo has unveiled KumoRFM-2, a next-generation foundation model designed specifically for structured enterprise data—marking ...

Researchers have developed a multi-fidelity framework for lithium-ion battery lifespan prediction that combines coupled ...

Researchers have developed an integrated framework for estimating battery state of health, or SOH, by combining incremental ...

Security professionals can recognize the presence of drift (or its potential) in several ways. Accuracy, precision, and ...

A lot of steps.” These are some of the descriptions that longtime residents of gentrifying neighborhoods in Philly used to describe the new construction popping up around them. Our team posited that ...

What was the rationale behind applying machine learning (ML) models to improve identification probability in the absence of ...

UniPat AI announces benchmark results for its forecasting model, EchoZ-1. 0 after testing in sandbox and live environments on Polymarket. Prediction markets are a place where individuals can trade on ...

Read more about AI can’t deliver climate gains without strong governance and capacity building on Devdiscourse ...

Alumna, author and machine learning expert Vivienne Ming explains why the best defense against AI's downsides is investing in ...

The multiple condition (MC)-retention model is an uncertainty-aware graph-based neural network that predicts liquid chromatography (LC) retention times across multiple column chem ...