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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 ...
The seismic crisis that gripped the Greek island of Santorini and its neighbors in 2025 contained more than 60,000 ...
Using Python, web scraping, and advanced algorithms, the solution aggregates real-time data from marketplaces to deliver ...
In a future perhaps not too far away, artificial intelligence and its subfield of machine learning (ML) tools and models, ...
Afforestation—establishing forests on previously non-forested land, or where forests have not existed for a long time—is one ...
A new study published in Genome Research presents an interpretable artificial intelligence framework that improves both the accuracy and transparency of genomic prediction, a key challenge in fields ...
The Gulf Coast is recognized worldwide for its exceptional fishing opportunities, offering anglers a wide variety of species ...
A machine learning model analyzing CpG-based DNA methylation accurately predicted the origin of many different cancer types ...
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