AI at Hannover Messe 2022

Every year at Hannover Messe companies from all over the world showcase the latest innovative and ground-breaking technologies in diverse…

smart factory using digital twin

Siemens and Deloitte Pave The Way For Xcelerated Reshoring

Overcoming Localization/Reshoring Challenges For years, manufacturing companies have moved more and more work offshore. Recently, that trend seems to be…

Detection and mitigation of AI bias in industrial applications – Part 3: Mitigation strategies and examples

In parts one and two of this blog series, I explained the difference between desired and harmful biases and discussed…

Detection and mitigation of AI bias in industrial applications – Part 2: Key points and justifications

In my first blog about the detection and mitigation of AI bias, we covered the concept of trustworthy Artificial Intelligence…

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…

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…