Timothy Llewellynn

As part of the European Union’s initiative “European Network of AI Excellence Centres: Expanding the European AI lighthouse“, three new networks are going to start their implementation during autumn 2023 to create a lighthouse within international AI initiatives. These networks contribute, complement and extend the initiatives started in H2020 to develop a vibrant European network of excellence centres in AI, and a vibrant AI scientific community, and continued in the first call of Horizon… Mehr anzeigen

As part of the European Union’s initiative “European Network of AI Excellence Centres: Expanding the European AI lighthouse“, three new networks are going to start their implementation during autumn 2023 to create a lighthouse within international AI initiatives. These networks contribute, complement and extend the initiatives started in H2020 to develop a vibrant European network of excellence centres in AI, and a vibrant AI scientific community, and continued in the first call of Horizon Europe.

dAIEDGE – A network of excellence for distributed, trustworthy, efficient and scalable AI at the Edge | dAIEDGE – will advance scientific progress towards new technological pilots. It promotes the application of Artificial Intelligence on edge computing platforms. To accelerate digital transformation through advanced AI technologies, applications and innovations, dAIEDGE builds on the existing assets and strengths of European industry. The main objective is to support and ensure rapid development and market adoption of distributed edge AI technologies, such as hardware, software, frameworks and tools. The applications of dAIEDGE are expected to be used in a wide range of fields, such as the Internet of Things (IoT), intelligent transportation systems, robotics, and healthcare. Among others, a marketplace for commercialisation of solutions will be launched. Weniger anzeigen

The REBECCA project is an SME-driven initiative that aims to democratize the development of edge AI systems. It will create a complete hardware and software stack centered around a RISC-V CPU, which will offer significantly higher performance, energy efficiency, safety, and security than existing systems. This will be achieved by utilizing state-of-the-art technologies and making significant advances in processing units, hardware accelerators, reconfigurable hardware, and AI libraries and… Mehr anzeigen

The REBECCA project is an SME-driven initiative that aims to democratize the development of edge AI systems. It will create a complete hardware and software stack centered around a RISC-V CPU, which will offer significantly higher performance, energy efficiency, safety, and security than existing systems. This will be achieved by utilizing state-of-the-art technologies and making significant advances in processing units, hardware accelerators, reconfigurable hardware, and AI libraries and frameworks. The project will demonstrate its approach on four real-world use cases and two benchmarks from various domains. It will develop a novel chip comprising two tightly-coupled chiplets with features such as RISC-V multicore, Neuromorphic AI Accelerator, and Memory Encryption.

The project will develop efficient edge-AI systems that can overcome the physical limitations of edge devices and meet regulations and constraints in numerous distinct application domains. This will involve designing and developing hardware, software, and middleware to accelerate computation-intensive parts of AI and conventional applications, ensure deterministic response times, and satisfy safety constraints. The project aims to enhance European strategic autonomy and sovereignty by using an open, royalty-free CPU architecture (i.e., RISC-V) and address performance safety and security concerns associated with IoT and edge devices.

To achieve its Ambition REBECCA will be the first edge-AI system utilizing a single, purely made-in-Europe, chip consisting of tightly coupled chiplets and reconfigurable devices containing the following advanced components:

● RISC-V multicore
● Neuromorphic AI Accelerator
● Programmable array AI Accelerator
● AI Accelerator utilizing a hierarchical processing architecture
● DNN Accelerator
● Reconfigurable hardware
● Near-Memory-Processing Weniger anzeigen

BonsAPPs will develop a fully functional (TRL-8), scalable AI-as-a-Service layer (AI-aaS) that will interoperate with the AI on demand platform as an external service. The service layer will enhance an existing AI platform (Bonseyes Marketplace) to cover experimentation, benchmarking, deployment and secure licensing of AI solutions at the Deep Edge. Project-funded Use Cases will demonstrate how Bonseyes Marketplace Platform simplifies time-consuming non-functional tasks in AI design, produces… Mehr anzeigen

BonsAPPs will develop a fully functional (TRL-8), scalable AI-as-a-Service layer (AI-aaS) that will interoperate with the AI on demand platform as an external service. The service layer will enhance an existing AI platform (Bonseyes Marketplace) to cover experimentation, benchmarking, deployment and secure licensing of AI solutions at the Deep Edge. Project-funded Use Cases will demonstrate how Bonseyes Marketplace Platform simplifies time-consuming non-functional tasks in AI design, produces AI at a lower cost and offers specific means to scale innovations once put into the market.

Two rounds of use cases will drive supply from AI professionals and demand from End Users to explore the potential gains of AI at the Deep Edge. End users, mainly SMEs/non-tech users lacking internal innovation capacities, will receive guidance in launching Industry Challenges fitting their needs. Specialized AI developers and integrators (AI Talents) will engage with them into an open innovation cycle to solve challenges; Edge AI Apps will be developed and integrated in Solutions at the Deep Edge using different deployment platforms. Coordinated by an AI SME-aware of existing barriers to bring AI innovations into the market, eight complementary partners participate: six technology partners in charge of frontend, backend , security and licensing and interoperability with development platforms, (technical support to Use Case Owners will be provided); a specialist in Open Call Management; a specialist in digital business coordinating communication and dissemination.

AI Talents involved will also have the possibility, under specific re-use licensing framework, of commercializing these results (develop new Apps/Solutions for other end users). Engagement of all relevant audiences (AI4EU community, AI researchers/developers, non-tech SMEs, clusters and value-chain leaders) is secured by the outreach capacities of partners to startups, corporate-led/RTO-led AI and Digital Innovation Hubs. Weniger anzeigen

The most fundamental need of the AI4EU on-demand Platform at this stage in its development is the introduction of improved functionality to allow for the easy engagements of it core targets stakeholders, namely SMEs. While additional resources and strong domain-specific solutions are also needed, it will be a wasted enterprise without a simple mechanism to match users to these assets. What is needed is a Stairway to AI, a linking bridge between users in a low-tech level to the higher-level AI… Mehr anzeigen

The most fundamental need of the AI4EU on-demand Platform at this stage in its development is the introduction of improved functionality to allow for the easy engagements of it core targets stakeholders, namely SMEs. While additional resources and strong domain-specific solutions are also needed, it will be a wasted enterprise without a simple mechanism to match users to these assets. What is needed is a Stairway to AI, a linking bridge between users in a low-tech level to the higher-level AI resources that have the potential to transform both their business.

The StairwAI project targets low-tech users with the goal of facilitating their engagement on the AI on-demand Platform. This will be achieved through a new service layer enriching the functionalities of the on-demand platform and containing: (1) a multi-lingual interaction layer enabling conversations with the Platform in the user’s own language, (2) a horizontal matchmaking service for the automatic discovery of AI assets (tools, data sets, AI experts, consultants, papers, courses etc.) meeting the user business needs and, (3) a vertical matchmaking service that will dimension and provision hardware resources through a proper hardware provider (HPC, Cloud and Edge infrastructures).

These services are designed and implemented by using techniques in an AI for AI fashion. The AI techniques deployed in the development of the services are natural language processing for the multi-lingual interaction, constraint solving, optimization and machine learning for horizontal and vertical matchmaking, knowledge representation for organizing the platform AI assets, reputation and fairness mechanisms to improve the matching results.

StairwAI will have a tremendous impact on the sustainability, collaboration opportunities, accessibility and fairness of the AI on-demand Platform, enabling the definition of proper business models for the uptake of AI bringing new value for EU industry. Weniger anzeigen

SOCIETAL CHALLENGES - Health, demographic change and well-being

Older adults have a strong preference for living in their own homes for as long as possible, but age-related problems often lead to institutionalization. Although homecare can benefit from existing technologies such as smartphones and sensors, their effectiveness is limited by the fear and discomfort many older adults experience. These technologies are generally not designed for older adults, especially those with memory… Mehr anzeigen

SOCIETAL CHALLENGES - Health, demographic change and well-being

Older adults have a strong preference for living in their own homes for as long as possible, but age-related problems often lead to institutionalization. Although homecare can benefit from existing technologies such as smartphones and sensors, their effectiveness is limited by the fear and discomfort many older adults experience. These technologies are generally not designed for older adults, especially those with memory impairments, creating significant barriers that restrict the use of technological assistance in a home environment.

CAPTAIN aims to transform the homes of older adults into ubiquitous assistants that address their physical and memory impairments. This is achieved through innovative technologies, including projected augmented reality for contextual information, real-time 3D sensing for comprehensive understanding of the indoor space, and non-invasive analysis of physiological and emotional data. The system promotes correct nutrition, physical activity, cognitive training, risk avoidance, and social participation, while ensuring user-centered co-design throughout the development process.

Consortium: ARISTOTLE UNIVERSITY OF THESSALONIKI, DIGIFLAK, DUBLIN CITY UNIVERSITY, INI-NOVATION GMBH, NIVELY, NVISO SA, SOCIALIT SOFTWARE E CONSULTING SRL, VICOM, ADHERA HEALTH SLU, FUNDACION INTRAS, HOLOLAMP, UNIVERSITA DEGLI STUDI DI TRENTO, AZIENDA PROVINCIALE PER I SERVIZI SANITARI, STEGI EVGIRIAS ARCHAGGELOS MICHAEL KAIMAKLIOY, NATIONAL UNIVERSITY OF IRELAND MAYNOOTH, WITA SRL Weniger anzeigen

INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

The Bonseyes project aims to develop a platform that enables organizations to adopt Artificial Intelligence in low-power IoT devices, embedded computing systems, and data center servers. It includes an AI Marketplace, Deep Learning Toolbox, and Developer Reference Platforms. This platform will significantly improve efficiency, performance, reliability, security… Mehr anzeigen

INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

The Bonseyes project aims to develop a platform that enables organizations to adopt Artificial Intelligence in low-power IoT devices, embedded computing systems, and data center servers. It includes an AI Marketplace, Deep Learning Toolbox, and Developer Reference Platforms. This platform will significantly improve efficiency, performance, reliability, security, and productivity in designing and programming Systems of Artificial Intelligence. It addresses the challenge of limited access to Data and Models, and its open software architecture promotes widespread adoption. The project also addresses the shifting balance between edge computing and cloud computing, which opens up new opportunities for intelligent devices.

To evaluate the effectiveness and feasibility of adding AI to products and services using the Bonseyes platform, the project will develop four complementary demonstrators: Automotive Intelligent Safety, Automotive Cognitive Computing, Consumer Emotional Virtual Agent, and Healthcare Patient Monitoring. These demonstrators will showcase the real-world improvements in efficiency, security, performance, effort, and cost. The capabilities of the Bonseyes platform align with the European FI-PPP activities and leverage the flagship project FIWARE. Weniger anzeigen

INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

This H2020-ICT-2014-1 call is to address the challenges posed by Cyber-Physical Systems (CPS), which are interconnected embedded ICT systems with applications in various sectors, including transport, healthcare, energy, and consumer products. The focus is on strengthening European industrial capabilities and exploring new markets while ensuring compliance with… Mehr anzeigen

INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

This H2020-ICT-2014-1 call is to address the challenges posed by Cyber-Physical Systems (CPS), which are interconnected embedded ICT systems with applications in various sectors, including transport, healthcare, energy, and consumer products. The focus is on strengthening European industrial capabilities and exploring new markets while ensuring compliance with safety, privacy, security, and energy efficiency requirements. To maximize impact, the initiative aims to de-verticalize technology solutions, bringing together stakeholders across the value chain, and create new ICT platforms for different sectors. Research and Innovation Actions should focus on two main themes: modeling and integration frameworks, and smart, cooperative, and open CPS.

Vision, our richest sensor, allows inferring big data from reality. Arguably, to be “smart everywhere” we will need to have “eyes everywhere”. Our project aims to create an optimized core vision platform that can be used independently or embedded into various artifacts. By leveraging advances in artificial vision and wearable technology, we seek to enable applications in augmented reality, surveillance, ambient-assisted living, and more. The goal is to develop an open hardware platform with efficient APIs that maximize information processing while minimizing power consumption. This will allow for longer operation and the creation of novel applications and services that surpass current vision systems in terms of intelligence and availability. The "Eyes of Things" project combines the need for enhanced embedded systems, the rapid progress of computer vision, and the advancements in mobile processing power.

Consortium: UNIVERSIDAD DE CASTILLA - LA MANCHA, AMS SENSORS, AWAIBA GMBH, EVERCAM LIMITED, DFKI GMBH, MOVIDIUS LIMITED, THALES SIX GTS FRANCE SAS, FLUXGUIDE AUSSTELLUNGSSYSTEME GMBH, NVISO SA Weniger anzeigen

INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

The EU H2020-ICT-2014-1 call focuses on developing and validating innovative multimodal interfaces to provide more efficient and natural ways of interacting with computers and enhance users' experiences. The project aims to leverage smart devices and sensors with capabilities such as scene analysis, voice recognition, human position detection, gesture recognition,… Mehr anzeigen

INDUSTRIAL LEADERSHIP - Leadership in enabling and industrial technologies - Information and Communication Technologies (ICT)

The EU H2020-ICT-2014-1 call focuses on developing and validating innovative multimodal interfaces to provide more efficient and natural ways of interacting with computers and enhance users' experiences. The project aims to leverage smart devices and sensors with capabilities such as scene analysis, voice recognition, human position detection, gesture recognition, and body language detection. The goal is to create non-intrusive interactions where real and virtual content seamlessly blend. The project adopts a user-centric approach, aiming for cost-effective solutions that address clear market needs. Validation of the developed interfaces will be carried out in domains related to the creative industries fields. By advancing the field of multimodal interfaces, the project aims to improve the way humans interact with computers, offering more intuitive and seamless interaction experiences.

The FANCI (Face and Body Analysis Natural Computer Interaction) project aims to integrate multi-modal human-machine technologies into a single platform, resulting in cost and power savings for embedded products. The project focuses on researching and developing innovative multi-modal face and body analytics, natural computer interfaces, and intelligent user sensing methods. The project incorporates technologies such as face analysis, eye tracking, emotion and intention analysis, hand gesture recognition, voice tone analysis, and head gesture and pose analysis using computer vision and deep learning. It also includes methods for estimating user intention or distraction and providing visual, voice, and haptic feedback, as well as autonomous system actions.

Consortium: CEVA D.S.P. LTD, NVISO SA, TOBII TECHNOLOGY, KEYLEMON SA, SONY DEPTHSENSING SOLUTIONS - SOFTKINETIC, Harman Becker Automotive Systems GmbH, UNIVERSITA DEGLI STUDI DI SIENA Weniger anzeigen