Machine learning has moved past its initial experimental phase. In earlier years, development often focused on creating the largest possible models to see what capabilities might appear. Today, the ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. Randy Shoup discusses the "Velocity ...

As gigawatt-scale projects and billion-dollar deals accelerate, the AI data center buildout is increasingly defined by power ...

Digital infrastructure is expected to run at near-zero latency, adapt instantly to shifting workloads, and remain secure ...

SANTA CLARA, CA - April 13, 2026 - - As machine learning becomes integral to modern digital products, the demand for professionals skilled in MLOps (Machine Learning Operations) continues to rise. In ...

The IT infrastructure that supports workloads and applications is one of the few things that has remained constant in the technology space over time. While AI and ML have been around for almost as ...

Opinions expressed by Digital Journal contributors are their own. In the rapidly changing field of artificial intelligence (AI), the infrastructure supporting these advanced systems often goes ...

A Sankey diagram illustrating the research landscape of machine learning applications in post-disaster infrastructure recovery. The diagram shows the relationships between machine learning approaches ...

A Sankey diagram illustrating the research landscape of machine learning applications in post-disaster infrastructure recovery. The diagram shows the relationships between machine learning approaches ...