Brain-on-Chip Technology Evolution
As brain-on-chip technology evolves rapidly, let’s look back at its origins and where it could be headed. We often think of medicine and physics as belonging to quite separate fields.
Systems engineering brings together people, tools, and processes to design and manage complex projects from start to finish.
As brain-on-chip technology evolves rapidly, let’s look back at its origins and where it could be headed. We often think of medicine and physics as belonging to quite separate fields.
The US Navy’s slow adoption of digital design tools is impeding its shipbuilding efforts, according to a new report submitted to Congress.
Ansys and BAE Systems are on a mission to deepen digital engineering integrations in national defense systems.
Donella Meadows, an environmental scientist and systems analyst, is recognized as a pioneer in sustainability and systems thinking.
Pediatrician John Gall self-published his deep dive into systems theory in 1975 after racking up dozens of rejection letters from publishers.
Let’s dive into the interplay between CubeSats and Model-Based Systems Engineering (MBSE), two innovations that have mutually benefited each other while evolving in tandem.
To boost efficiency, AMC deployed a system that centralized CAD files in a way that enabled engineers to more efficiently communicate during the product development process.
Model-Based Requirements Engineering (MBRE) emphasizes the use of detailed models to define, analyze, and manage system requirements.
Ludwig von Bertalanffy (1901-1972) was an Austrian biologist who is best known for his work developing General Systems Theory.
Hardware-in-the-loop (HIL) and digital twin are advanced technologies used for testing and simulation of complex systems. Combing them enhances the capabilities of each.