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…

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…

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…

Efficient training of AI Vision for factory automation part 3

In part 1 of this series, we took a look at the challenges of training Artificial Intelligence (AI) and Machine…

The verification and validation of autonomous vehicle systems

The automotive industry is continuing to improve advanced driver assistance systems, aiming for higher quality and the introduction of new…

Efficient training of AI Vision for factory automation part 2

This 3-part series will examine some of the challenges of training AI for industrial robotics as well as exploring emerging…

Smart Factory

Siemens sponsors a smart factory

In a recent metrology.news article, Deloitte announced that Siemens DISW joined as one of the founders at Deloitte’s SmartFactory@Wichita. This 60,000 square foot Industry 4.0…

Efficient training of AI Vision for factory automation

This 3-part series will examine some of the challenges of training AI for industrial robotics as well as exploring emerging…