Model-based systems engineering is quietly, but consistently, becoming an important part of the design, maintenance, and cybersecurity of the federal government’s most complex IT platforms. MBSE ...

IT professionals increasingly need to navigate projects arising from greater business complexity. The integration of systems models with established methodologies, like design thinking, agile and lean ...

An inability to address AI security risks may create areas for intellectual property (IP) theft, swayed outputs, or general ...

Today’s electronic systems are an increasingly complex combination of hardware and software components. They contain an ever-expanding range of functions, require more computing power, have to operate ...

All over the AI field, teams are unlocking new functionality by changing the ways that the models work. Some of this has to do with input compression and changing the memory requirements for LLMs, or ...

Researchers at Anthropic have uncovered a disturbing pattern of behavior in artificial intelligence systems: models from every major provider—including OpenAI, Google, Meta, and others — demonstrated ...

How model-based systems engineering (MBSE) has improved system design. Thermal design and MBE come together. When considering systems-level design, it’s important to understand the criticality of the ...

Planning and operating a power system requires detailed grid studies to guide investment decisions and prepare for how the system may evolve over time. Long-term planning can identify the policy, ...

Researchers at the Massachusetts Institute of Technology (MIT) are gaining renewed attention for developing and open sourcing a technique that allows large language models (LLMs) — like those ...

The Information Systems (IS) doctoral program is a research-based program where students work with world-renowned scholars to build skills that will prepare them for impactful careers as professors in ...