Detection and mitigation of AI bias in industrial applications – Part 1: Background and definitions

Traditional machine learning techniques optimize for accuracy only, not fairness or avoiding unexpected/harmful bias. Current advances in AI are both…

Charting a path forward with MBSE

Creating a plan for a product as complex as an aircraft is highly important, and not just because of the…

model-based systems engineering aerospace

MBSE: Future of aerospace industry – part 1

Let’s explore the dynamic aerospace and defense (A&D) industry, taking full advantage of innovations that might be tomorrow’s books and…

From ER to factory floor: AI for a healthier future

I recently read an article about AI being deployed to hospitals and ERs to detect deadly infections and downward spirals…

The Future Car – The verification and validation of autonomous vehicles – Transcript

In a recent episode of the Future Car podcast, I talked with Nand Kochhar, VP of Automotive and Transportation, and…

Trust in the model, but verify the result: Understanding the AI thought process

In a previous blog we looked at the issue of AI as a black box along with some of the…

Wind turbines on a hill top for energy generation

3D printing for energy applications

Ashley Eckhoff is back with another interview on what is happening with additive manufacturing (AM) technologies in different industries around…

Nemo's Garden underwater farming biospheres with a diver

Harvesting the benefits of the digital twin

Agriculture is fundamental to our modern lives, but providing the produce we need, at the scale necessary for our global…

Energy Transformation

Energy Transformation – Unpacking Siemens Digital Lifecycle Excellence – Transcript ep. 1

Siemens Digital Lifecycle Excellence is impacting the Energy Industry. The industry gains substantially from digitalizing its operations. In addition, Siemens’…