Unless you're coding or stress-testing benchmarks, the "latest and greatest" usually won't change how you use AI.

Employees racked up AI bills, and companies are backpedaling on tokenmaxxing. Now, it's all about routing prompts to the most ...

Engineers must accurately predict thermal stabilization and calibrate simulation software to achieve consistent quality in ...

The failure is not in the technology. It is in the operating model surrounding it, and it shows up in three interconnected ...

Machine learning models narrow down solutions in synthesis, compounding, product design, and more.

PITTSBURGH, Pa., June 8, 2026—The Carnegie Mellon University Software Engineering Institute (SEI) and Accenture today released the Artificial Intelligence (AI) Adoption Maturity Model, an empirically ...

Michelle Yeung, 29, says she used to earn roughly $250,000 a year as a software engineer in New York — enough to travel, buy almost anything she wanted and stop worrying about money for the first time ...

It’s a tough job market for software engineering hopefuls. Tens of thousands of jobs cuts across the industry have increased competition for open spots. The rise of AI has spurred fears of cheating ...

Over the past decade or so, foundation models have emerged as the dominant paradigm for interacting with language, images, and code. Large Language Models (LLMs) can generate text. Vision models can ...

Automated software engineering encompasses the use of tools, methods and models to automate or assist in the full spectrum of software development activities, from requirements capture to deployment ...

Why engineers are turning to system-level models. How high-fidelity digital twins help expose system-level issues. Where MBSE is experiencing the fastest adoption. The roles of AI and data science in ...

Claude Opus 4.7 is the latest generally available version of Anthropic’s main AI model with a focus on advanced software development. Opus 4.7 is a notable improvement on Opus 4.6 in advanced software ...