AI Spectrum – Exploring Siemens NX’s Smart Human Interactions Feature Part 1 – Transcript

I recently sat down with Shirish More to discuss how NX is adopting AI to help drive smart human-computer interactions…

Neuromorphic systems and evolutionary AI

In the field of artificial intelligence, the idea of evolution is a critical one. The very concept of an AI…

The Use of Synthetic Data in AI model Training

Artificial intelligence (AI) holds great promise for the factory, but the issue of training tops the list of challenges potential…

The Use of Synthetic Data in AI model Training – Transcript

I recently sat down with Zachi Mann to discuss how synthetic data is changing AI training, both in the factory…

SynthAI: synthetic data for all

The world of AI is one that is constantly growing and evolving. New practices, technologies, and ideas are being developed,…

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…