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Collaborating to industrialize additive manufacturing

Creating the industry of tomorrow is a big goal, companies have been proclaiming they can deliver it probably as long…

energy transformation

Energy Transformation – requirements management approach to manage enterprise technical data – Transcript ep. 2

In this second podcast transcript of the Energy Transformation series, John Lusty, Global Industry Marketing Leader at Siemen Digital Industries Software,…

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…

What increased electrification means in the automotive industry

Electrification often has the connotation of switching to electric propulsion in the automotive industry, but it also includes the proliferation…

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…