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 ...
A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...
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, ...
Protein engineering is a field primed for artificial intelligence research. Each protein is made up of amino acids; to ...
In my latest Signal Spot, I had my Villanova students explore machine learning techniques to see if we could accurately ...
To generate usable data, NSWCPD engineers built a controlled test environment and introduced faults such as air leaks, inlet ...
Artificial AI software provider Monolith has announced a collaboration with industrial equipment manufacturer Jungheinrich to ...
This study highlights the potential for using deep learning methods on longitudinal health data from both primary and ...
Discover how Descartes' new Fleet Data Intelligence platform uses a new AI agent and machine learning to analyze fleet ...
A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...
AI travel planning tools in 2026 are transforming trip organization from a time-consuming chore into a personalized, adaptive experience. Leveraging machine learning, real-time data, and user ...
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