Study warns cost-cutting use of generative AI could increase cyber-attack risks

Newly published research from a leading computer scientist warns that the use of generative AI to design, train, or perform ...
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 ...
mccormick.northwestern.edu

New Machine Learning Framework Enables Data-Efficient Design of Advanced Metamaterials

Until now, designing complex metamaterials with specific mechanical properties required large and costly experimental and simulation datasets. The method enables ...
USA Today

Building Large-Scale Machine Learning/AI Systems with Niloy Gupta

Machine Learning (ML) and Artificial Intelligence (AI) have become essential technologies across industries, automating tasks at a speed and scale far beyond human capabilities. However, building ...
Communications of the ACM

Real-Time Data Processing in UAV Systems

I’ve been flying multispectral missions for a few years now, and the biggest surprise of these systems is how much processing ...

A New System to Track Material Design Processes

Engineers at NIMS Develop a System That Captures All the Elements of Trial and Error in Material Design, Enabling Reliable ...
Opinion
EurekAlert!Opinion

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

Using generative AI to design, train, or perform steps within a machine-learning system is risky, argues computer scientist Micheal Lones in a paper publishing April 22 in the Cell Press ...