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Fog Data Analytics
Efficient analysis of data in resource constrained devices.
Key areas of expertise
- Model Compression
- Optimisation techniques
Emerging scenarios are dependent on low energy consumption or low latency technologies, where it is necessary to utilise processing closer to the source of the data. This thematic area devises algorithmic processes that takes advantage of available computing resources to deliver the best results in constrained environments. Fog Data Analytics aims to improve how Internet of Things applications that have strict latency or processing requirements can leverage machine learning and artificial intelligence algorithms without the need for heavy processing power.
Key areas of expertise:
- Model compression and optimisation techniques can be used to reduce the complexity and memory footprint of compute intensive algorithms to make them suitable for edge and fog applications.
Our Team
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Testbeds
Walton Institute offers companies access to cutting edge living lab infrastructure. funded by Enterprise Ireland Capital Call since 2019. These state-of-the-art labs are open to organisations of all sizes, from start-up to scale, with opportunities to test innovations, apply use cases or to receive bespoke training in a particular piece of equipment. Contact the Technology Gateway team to arrange a visit.
View our testbeds and labs