An engineer's guide to Active Learning: Training predictive models efficiently

This blog post sheds light on how active learning can transcend its reputation as a tool exclusive to the realm of cutting-edge data analysis and can become an essential asset in every engineer's toolkit.

Forging the Future: Insights from the Digital Manufacturing Summit in London

On the bright autumn morning of November 23rd, I had the privilege of attending the Digital Manufacturing Summit in the bustling heart of the City of London.

Design of experiments: an introduction

An introduction to Design of Experiments (DoE) with examples. Quaisr is enabling organisations to integrate and adopt DoE techniques at any level.

The trade-off: Linking commercial process simulations with AI-based multi-objective optimisation

A story using Quaisr to connect multi-objective optimisation with a styrene production process example in gPROMS

System Identification for Smart Maintenance: A Practical Example

A practical example demonstrating how practitioners can use the Quaisr platform for system identification in the context of anomaly detection.

The art and science of prevention — Real-time system identification for smart maintenance

Quaisr is enabling business leaders and practitioners to advance predictive maintenance and adopt data streaming within their organisations.

Black Holes & Simulations

Quaisr is empowering scientists to interpret and understand these gravitational-wave signals.

Faster innovation in the fight against cancer

Quaisr technology is enabling engineers at Multiwave Metacrystal to automate complex physics simulations and integrate them with statistical and machine-learning algorithms.

Your digital twins must answer three fundamental questions

The use of live data and simulations for the Apollo 13 crew's safe return to Earth is widely recognised as the first real-world use of digital twins.