AI / Machine Learning
Intelligent models, prediction and data-driven engineering.
We connect academic research with practical engineering, helping researchers and technology startups move from ideas to simulations, implementation, prototypes and product direction.
Our purpose is simple: share practical engineering knowledge with researchers and help suitable research move towards implementation, technology and real-world impact.
Examples of engineering domains and implementation themes that can be developed as academic, research or prototype projects.
Intelligent models, prediction and data-driven engineering.
AI/ML-based condition monitoring, anomaly detection and maintenance prediction.
Analysis, feature extraction and intelligent signal interpretation.
Sensors, edge devices, data acquisition and connected systems.
Systems, instrumentation, control and electronics implementation.
Schematics, PCB layouts, hardware development and testing.
HDL, digital systems and FPGA-oriented implementation.
Tell us what you are working on. We will start with the technical problem.