Trustworthy use of data-driven models in industrial systems requires reliable and explainable model predictions. Whether your industrial automation systems are driven by bespoke algorithms or AI/ML models learned from data, you can run your code and models on Signaloid's UxHw-enhanced compute modules to easily gain insights into how properties of the data feeding your algorithms and models affects the trustworthiness of their outputs.
Reduce factory downtime, achieve higher-quality manufactured parts, and reduce waste by being able to quantify the uncertainty of real-time factory floor data analyses. Because Signaloid's UxHw technology enables high-performance uncertainty quantification orders of magnitude faster than alternatives such as Monte Carlo methods, it is possible, for the first time, to deploy these advances on your real-time data feeds. Improve the quality of outputs of your production lines, improving safety, and reducing costs.
To ease adoption in industrial automation use cases where the only means of expansion might be an unused microSD slot (typically used for firmware updates), Signaloid's UxHw-enhanced compute modules are available in multiple variants that you can plug into unused slots and interface with using standard SD block storage operations.
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Choose how to integrate Signaloid’s UxHw into your technology, with deployment methods including custom hardware modules, such as microSD-sized hot-swappable compute-in-memory modules, or cloud-based solutions using our compute infrastructure.
Example Performance Validation
Achieve 2x to over 300x speedups in your uncertainty quantification compared with existing C, C++, and FORTRAN models computing Monte Carlo simulations. Interested instead in adopting data-driven AI/ML models to replace your hand-crafted C/C++/FORTRAN code? Use the AI/ML runtime systems which run on the Signaloid cloud compute engine to get automated uncertainty quantification for the output of your AI/ML model predictions. See not just error bars but the full distribution of model output uncertainty.
Technology Explainers
Signaloid's technology provides deterministic uncertainty tracking methods by utilising efficient arithmetic on probability distributions while integrating with existing edge hardware. These technology explainer articles provide further details on how this technology benefits embedded robotics and manufacturing applications, from the underlying mathematics to the engineering implementations.
