Opinion

How do different data preprocessing techniques affect performance of machine learning models on prediction tasks?

Artificial intelligence (AI) and machine learning (ML) systems have become central to modern data-driven decision-making. They are now widely applied in fields as diverse as healthcare, finance, ...
Opinion
Tech Xplore on MSNOpinion

Generative AI may cut costs in machine-learning systems, but it increases risks of cyberattacks and data leaks

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper appearing in Patterns. Though large language models ...
Waste Advantage Magazine

TOMRA Recycling Opens the Americas Test and Training Center

TOMRA Recycling marked a new era of customer support for recyclers in the Americas with the opening of its new Test & Training Center in Charlotte, ...

A machine learning model that uses DNA methylation patterns may help identify the origin of cancers of unknown primary

A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...
Technology Networks

Method Developed To Generate Protein Datasets for Training AI

Researchers created “Sequence Display,” a method that generates millions of protein activity data points, allowing AI models ...

Five signs data drift is already undermining your security models

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

A simple baseline for AI forecasting in machine learning

In a recent paper, SFI Complexity Postdoctoral Fellow Yuanzhao Zhang and co-author William Gilpin show that a deceptively ...
ET CIO

Practical steps to prepare enterprise data for generative AI: Gartner

Enterprises face challenges in preparing data for generative AI due to data quality and accessibility issues. Gartner ...