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Brain inspired AI processing technology allowing for edge computing that transforms “non-smart chips” into “smart” chips

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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Programme(s)

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Topic(s)

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Funding Scheme

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SME-1 - SME instrument phase 1

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Call for proposal

Procedure for inviting applicants to submit project proposals, with the aim of receiving EU funding.

(opens in new window) H2020-EIC-SMEInst-2018-2020

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Coordinator

SYNTHARA AG
Net EU contribution

Net EU financial contribution. The sum of money that the participant receives, deducted by the EU contribution to its linked third party. It considers the distribution of the EU financial contribution between direct beneficiaries of the project and other types of participants, like third-party participants.

€ 50 000,00
Address
JOSEFSTRASSE 219
8005 ZUG
Switzerland

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SME

The organization defined itself as SME (small and medium-sized enterprise) at the time the Grant Agreement was signed.

Yes
Region
Schweiz/Suisse/Svizzera Zürich Zürich
Activity type
Private for-profit entities (excluding Higher or Secondary Education Establishments)
Links
Total cost

The total costs incurred by this organisation to participate in the project, including direct and indirect costs. This amount is a subset of the overall project budget.

€ 71 429,00
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