Project description
Smart solution for 'non-smart' chips
The Internet of Things (IoT), which merges the physical and virtual worlds to create smart environments, represents the next step towards the digitisation of our society and economy. Billions of smart devices (also known as IoT devices) use internet connectivity to interact with other devices. Examples include smartphones, smart watches, smart door locks, medical sensors as well as smart security systems. Since each new IoT device requires a unique chip, development costs are high. The EU-funded Synthara Edge project will develop high-performance 'non-smart' chips by implementing an edge-based artificial intelligence processing solution. The project’s unique blend of technologies will overcome the challenges of edge computing.
Objective
"Connected devices in use worldwide now top 17 billion, 7 billion of which are IoT devices. These devices rely heavily on cloud computing which is problematic for several reasons. The best solution to these challenges is to minimize transmission of data to the cloud, made possible by edge computing. However, because of the limited energy resources available for onboard electronics, especially with data intensive AI, edge computing presents difficulties. As each new IoT device requires a unique chip, development costs soar, not least because chip manufacturers typically lack this expertise in-house. Existing AI co-processing solutions offered by vendors need to become 5-10x more energy efficient to make IoT projects such as automotive or industrial smart sensing applications viable.
We make high-performance """"non-smart"""" chips smart by using an edge-based AI processing solution that once integrated allows an IoT device to compute at the source - making the information collected meaningful without the need for the cloud. Our unique blend of technologies is protected by multiple patents and provides a solution that overcomes the challenges of edge computing. Importantly, our co-processor only computes when data is present, requires 90% fewer calculations, is up to 100x more power efficient in comparison with competing solutions and can be deployed quickly.
Synthara edge will transform the market by providing an easily integrated solution to chip makers so that the data their solutions collect can be computed at the edge. By combining our AI expertise and chip production we will launch the IoT market into a new paradigm. This will commence with industrial, automotive and aerospace applications but will extend to others soon.
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Fields of science (EuroSciVoc)
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CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques.
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Programme(s)
Funding Scheme
SME-1 - SME instrument phase 1Coordinator
6300 Zug
Switzerland
The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.