EDN

Application of machine learning in power management systems

Data processing these days is exhibiting a split personality. ‘Cloud’ computing grabs the headlines for sheer scale and computing power, while ‘edge’ computing puts the processing at the ‘coal face’ ...
Nanowerk

Machine learning innovations and applications in nanotechnology

Machine learning, with its ability to analyze large datasets and identify patterns, is particularly well-suited to address the challenges presented by the vast and complex data generated in ...
AFCEA

Naval Applications of Machine Learning Workshop Advances AI Adoption

Technologies grouped under big data, artificial intelligence and machine learning are impacting virtually every aspect of life today. More importantly for the U.S. military and for the companies in ...
Semiconductor Engineering

Classical Computing vs. Machine Learning and Edge AI Techniques in Various Application Domains

Machine Learning (ML) algorithms have revolutionized various domains by enabling data-driven decision-making and automation. The deployment of ML models on embedded edge devices, characterized by ...
insideHPC

Low Code Data Science is Not the Same as Automated Machine Learning

In this special guest feature, Rosaria Silipo, Ph.D., Principal Data Scientist at KNIME, discusses the difference between automated Machine Learning and low code tools for data science. Rosaria is the ...
Security Boulevard

Beyond Prompt Injection: The Hidden AI Security Threats in Machine Learning Platforms

What’s the first thing you think of when you hear about ai security threats and vulnerabilities? If you’re like most people, your mind probably jumps to Large Language Model (LLM) ...
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 ...