Good ML testing strategies aim to reveal any potential issues related to design, model selection, and programming to ensure reliable functioning. How to Test ML Models? Testing machine learning (ML) ...

Researchers from Rice University (TX, USA) have developed a new machine learning algorithm that interprets optical spectra of ...

A team of researchers led by Niccolò Maffezzoli, "Marie Curie" fellow at Ca' Foscari University of Venice and the University ...

Eric D. Boyd of responsiveX previews his VSLive! 2025 session at Microsoft HQ in August where he explains how Azure ML ...

More than a decade ago, researchers launched the BabySeq Project, a pilot program to return newborn genomic sequencing results to parents and measure the effects on newborn care.

A new study in Human Gene Therapy describes a machine learning (ML) model that can be used as a ... traditional directed evolution and rational design-based strategies. The study by Wu et al.

The model is based on a two-step Deep Operator Network ... This research builds on prior work in spinodal microstructure design, scientific machine learning, and neural operator models for multiscale ...