Less is more: the need for smarter data in AI training

Over the last decade, the maturity of AI algorithms has increased in huge strides to the point where pretrained, off-the-shelf…

Moving forward in a more complex world

The modern industrial landscape is increasingly dynamic, competitive, and complex. This new landscape is being shaped by a number of…

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…