The data engineering trends clearly show a move toward maturity. The emphasis is on building reliable, repeatable, and ...

For the past decade, the spotlight in artificial intelligence has been monopolized by training. The breakthroughs have largely come from massive compute clusters, trillion-parameter models, and the ...

Agentic AI systems need a deep understanding of where they are, what they know, and the constraints that apply. Context ...

The trouble is that such solutions can be hard to find and even harder to apply effectively. The good news is that after ...

To keep the Rowing Club at Michigan Tech afloat, junior software engineering major Elise Buzzell became a student coach — an ...

Despite soaring interest in AI, companies are struggling with fragmented data and concerns over autonomous systems operating ...

Letting AI churn out an endless supply of crappy code that humans then have to debug and maintain doesn’t move anybody’s ...

From software to the buildings, the race into artificial intelligence has created 16 billionaires across eight firms ...

AI-Supercharged Code Reviews: In software engineering, Ford has implemented an AI-assisted "code reviews-as-a-service" ...

Agentic AI is changing how software teams pick projects by pushing us to build systems that are clearer, safer and ready for ...

Note: This article was originally written for publication on CrossTalk: The Journal of Defense Software Engineering. Driving ...

This article provides a retrospective on one such case: the TRIPS project at the University of Texas at Austin. This project started with early funding by the National Science Foundation (NSF) of ...