{"id":7199,"date":"2022-07-08T08:59:36","date_gmt":"2022-07-08T06:59:36","guid":{"rendered":"https:\/\/www.tpv-automotive.si\/en\/?page_id=7199"},"modified":"2022-07-08T09:12:52","modified_gmt":"2022-07-08T07:12:52","slug":"dais","status":"publish","type":"page","link":"https:\/\/www.tpv-automotive.si\/en\/about-us\/research-and-development-projects\/dais\/","title":{"rendered":"DAIS"},"content":{"rendered":"
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DAIS<\/h2>\n<\/div><\/section>\n<\/div><\/div><\/main><\/div><\/div>
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DAIS, Slovenia
\n<\/strong>Distributed Artificial Intelligent Systems<\/h5>\n<\/blockquote>\n<\/div><\/section><\/div><\/p>\n

Distributed Artificial Intelligent Systems \u2013 DAIS<\/strong><\/p>\n

A pan-European project bringing faster, more secure and energy-efficient data processing solutions through the development of edge AI software and hardware components.<\/em><\/p>\n

With the revolutionary change brought on by the Internet of Things (IoT) and the rapid increase of data from more and more ubiquitous connected devices, the vulnerabilities in the system have been brought to the forefront. How can we collect and process the ever-growing amount of data while also addressing the challenges regarding privacy, speed and energy efficiency? And how can Europe take the lead in a domain which is already predominated by America and Asia? These are some of the questions which the project\u00a0Distributed Artificial Intelligent Systems (DAIS)<\/strong>\u00a0is looking to answer.<\/p>\n

DAIS is a pan-European effort spanning three years with a total budget of\u00a0\u20ac33 million<\/strong>\u00a0and a consortium of\u00a047<\/strong>\u00a0partners from\u00a011<\/strong>\u00a0countries. Coordinated by RISE, a research institute of Sweden, the project will strengthen Europe\u2019s position by putting European values at the core of the Electronic Components and Systems (ECS) that will shape a new era by self-organization, privacy by design, low use of energy and delivering the technology needed to protect these values.<\/p>\n<\/div><\/section><\/div>\n

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AI at the edge \u2013 prerequisites for DAIS<\/strong><\/p>\n

The new paradigm of\u00a0Edge Computing<\/strong>\u00a0provides new solutions by bringing resources closer to the user, keeps sensitive & private data on device, and provides low latency, energy efficiency, and scalability compared to cloud services while also reducing the network bandwidth. At the same time, there is an increasing need to use\u00a0Artificial Intelligence (AI)<\/strong>\u00a0at the edge. The bringing together of these innovations and the subsequent migration of the AI functions from the cloud to the edge will serve as the next step in the evolution where the DAIS project will be a major contributor. In the future\u00a0Edge Intelligence<\/strong>\u00a0scenario<\/strong>, advanced AI and machine learning algorithms will be optimized to run on the edge capable of dealing features like video frames, natural speech information, and unstructured data generated by cameras, microphones, and other sensors without uploading data to the cloud and waiting for the response.<\/p>\n<\/div><\/section><\/div>\n

DAIS objective \u2013 Competitiveness for a strong European Industry<\/strong><\/p>\n

DAIS has ambitious objective to develop\u00a0intelligent<\/strong>\u00a0and\u00a0secure Edge<\/strong>\u00a0solutions for\u00a0industrial applications<\/strong>\u00a0for European industry throughout the whole Supply Chain.<\/p>\n

More precisely DAIS aims at:<\/p>\n