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 ...
TechAnnouncer

Demystifying Machine Languages: Practical Examples and Core Concepts

Machine learning can sound pretty complicated, right? Like something only super-smart tech people get. But honestly, it’s ...
Forbes

The Vital Difference Between Machine Learning And Generative AI

Artificial intelligence (AI) is transforming our world, but within this broad domain, two distinct technologies often confuse people: machine learning (ML) and generative AI. While both are ...
Security

AI and Machine Learning in Security: Building Smarter, Integrated Systems for a Safer Future

From SOCs to smart cameras, AI-driven systems are transforming security from a reactive to a predictive approach. This evolution unites physical and cyber domains, improves situational awareness, and ...
EurekAlert!

Making machine learning robust, generalizable and collaborative by engaging humans and AI in the problem-solving loop. (IMAGE)

Real-world scientific research, for example, iteratively improves through learning in the design-build-test-learn loop (on the right). On the left, active re-learning from expert human knowledge in ...
Chromatography Online

Bob Pirok on the Human Factor in Machine Learning for Automated Method Development

At Pittcon 2026 in San Antonio, Texas, USA, LCGC International spoke with 2026 LCGC International Emerging Leader Award ...
Nanowerk

A new system to track material design processes

Engineers develop a system that captures all the elements of trial and error in material design, enabling reliable ...