
INNATERA NANOSYSTEMS BV
INNATERA NANOSYSTEMS BV
8 Projects, page 1 of 2
Open Access Mandate for Publications and Research data assignment_turned_in Project2024 - 2027Partners:POLITO, UAM, CSIC, FREQUENTIS, AIT +36 partnersPOLITO,UAM,CSIC,FREQUENTIS,AIT,SIILI AUTO OY,NOKIA TECHNOLOGIES,HEMA ENDUSTRI AS,Harokopio University,TTTech Germany GmbH,INNOVATION DIS.CO PRIVATE COMPANY,AVL,Latvian Academy of Sciences,Velti GMBH,SMARTSOL SIA,UNIMORE,INFINEON TECHNOLOGIES DUISBURG GMBH& CO. KG,DANISI ENGINEERING SRL,IDNEO,ANYWI,IDEAS & MOTION SRL,TAMPERE UNIVERSITY,TH Köln – University of Applied Sciences,HTEC GMBH,TOFAS,Infineon Technologies (Austria),TOP DATA SCIENCE OY,BYLOGIX,SANLAB SIMULASYON AR. GE. SAN. TIC. A.S.,TU Delft,Infineon Technologies (Germany),ROVIMATICA,SMART CONTROL SYSTEMS AND SOFTWARE JOINT STOCK COMPANY,IOTAM INTERNET OF THINGS APPLICATIONS AND MULTI LAYER DEVELOPMENT LTD,INNATERA NANOSYSTEMS BV,IMEC,TTTECH AUTO AG,IECS,OYAK RENAULT OTOMOBIL FABRIKALARI AS,TÜBİTAK,AITEK SPAFunder: European Commission Project Code: 101139996Overall Budget: 33,956,400 EURFunder Contribution: 10,016,600 EURShapeFuture will drive innovation in fundamental Electronic Components and Systems (ECS) that are essential for robust, powerful, fail-operational and integrated perception, cognition, AI-enabled decision making, resilient automation and computing, as well as communications, for highly automated vehicles. Its overarching vision is to bring ECS Innovation at the Heart of Europe's Mobility Transformation, thereby elevating Sovereignty by Perfecting Programmable ECS Solutions for Intelligent, Safe, Connected, and Highly Automated Vehicles. The project will result in the following main tangible outcomes: • Safety, security and reliability of in-vehicle systems to levels appropriate for mass-market deployment. • Availability and supply of leading-edge ECS for the European automotive supply chain and for OEMs to be at the forefront of technology developments in the 2030s. • Increased Accuracy and Robustness of ECS for perception with smaller form factors and lower power consumption. • ECS attributed with cognition features and improved human-Machine Interface (HMI). • ECS with cognitive processing and decision-making capabilities. • ECS for resilient automation and communications. • Increased technology acceptance that will also lead to business sovereignty safeguard. 15 demonstrators and 2 impact studies will showcase the project’s achievements and their capability to deliver innovations and secure future application advances in core markets for European society – Mobility, Green Deal, Digital Society, Safety and Industry. The project innovations will leverage the expertise of world-renowned industrial (5 OEMs, 24 Tier-1, Tier-2 and technology providers) and 12 research partners along the complete automotive and semiconductor value chains, providing Europe with a competitive edge in a growing market. Importantly, ShapeFuture will contribute to ensuring European ECS Sovereignty by shaping the future of ECS in mobility.
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2023 - 2025Partners:Mellanox Technologies (Israel), ECCENCA, BMW (Germany), NTUA, AAU +18 partnersMellanox Technologies (Israel),ECCENCA,BMW (Germany),NTUA,AAU,Conti,NVIDIA GmbH,SSSUP,FHG,AGRICOLOUS,BMW Group (Germany),Mellanox Technologies (United States),UCC,CNIT,TU/e,ITALTEL S.P.A.,University of Hannover,Dresden University of Applied Sciences,VIRAGE LOGIC,INNATERA NANOSYSTEMS BV,EISI,CORTUS,GOLFE ENGINEERINGFunder: European Commission Project Code: 101097560Overall Budget: 14,974,700 EURFunder Contribution: 4,497,180 EURCLEVER proposes a series of innovations in the area of hardware accelerators, design stack, and middleware software that revolutionize the ability of edge computing platforms to operate federatedly, leveraging sparse resources that are coordinated to create a powerful swarm of resources. CLEVER technologies will support the deep edge computing paradigm, moving computing services closer to the end user or the source of the data to reduce power consumption, reduce capacity requirements, and latency for mission critical applications. Furthermore, CLEVER will overcome traditional limitations of edge computing in terms of limited resource availability by providing an effective framework for seamless use of federated resources in the edge-cloud continuum. CLEVER will demonstrate processing solutions for AI at the edge through four use cases: (1) digital twin for in-factory optimization, (2) smart agriculture for high yield eco-farms, (3) fully automated material deployment, and (4) augmented reality for shopping sites. Through the achievement of its goals, the CLEVER project will help to position Europe at the forefront of the intelligent edge computing field, enabling growth across many sectors (manufacturing, agriculture, smart environments, augmented reality, and others). By lowering the barriers for utilising edge computing for artificial intelligence applications, CLEVER will open the door for European Industries and SMEs to leverage state of the art technologies, driving their development and growth as leaders in their sectors.
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2023 - 2025Partners:INRIA, TEKNOLOGIAN TUTKIMUSKESKUS VTT OY, UAB TERAGLOBUS, Harokopio University, Laabmayr +45 partnersINRIA,TEKNOLOGIAN TUTKIMUSKESKUS VTT OY,UAB TERAGLOBUS,Harokopio University,Laabmayr,Huawei Technologies (China),TUM,IDEAS & MOTION SRL,AIT,Offenburg University of Applied Sciences,POLITO,University of Alcalá,UNIKIE,Graz University of Technology,UNIMORE,INESC TEC,ARQUIMEA RESEARCH CENTER SL,TEKNE,SLEEP ADVICE TECHNOLOGIES SRL,AVL,UAM,IECS,VIRAGE LOGIC,MANTSINEN GROUO LTD OY,INNATERA NANOSYSTEMS BV,FEDERAL MINISTRY OF NATIONAL DEFENSE,PUMACY,Latvian Academy of Sciences,IMA,UPM,University of Leoben,FAU,INSAR.SK,TTTECH AUTO AG,EMOTION3D GMBH,VAISTO SOLUTIONS OY,IOBUNDLE, LDA,ITML,KALMAR,VUT,NVISION,University of Lübeck,VIF,TECHNISCHE HOCHSCHULE ROSENHEIM,SCALIRO GMBH,VARROC LIGHTING SYSTEMS,AVL TURKIYE,SILICON MOBILITY,Huawei Technologies (Sweden),SAFELOG GMBHFunder: European Commission Project Code: 101096658Overall Budget: 33,402,600 EURFunder Contribution: 10,509,800 EURGlobal environmental issues, social inequality and geopolitical changes will pose numerous problems for our society in the future. To face these new challenges and deal with them, there is a need to understand and appropriately utilize new digital technologies such as artificial intelligence (AI), the Internet of Things (IoT), robotics and biotechnologies. A-IQ Ready proposes cutting-edge quantum sensing, edge continuum orchestration of AI and distributed collaborative intelligence technologies to implement the vision of intelligent and autonomous ECS for the digital age. Quantum magnetic flux and gyro sensors enable highest sensitivity and accuracy without any need for calibration, offer unmatched properties when used in combination with a magnetic field map. Such a localization system will enhance the timing and accuracy of the autonomous agents and will reduce false alarms or misinformation by means of AI and multi-agent system concepts. As a priority, the communication guidance and decision making of groups of agents need to be based on cutting-edge technologies. Edge continuum orchestration of AI will allow decentralizing the development of applications, while ensuring an optimal use of the available resources. Combined with the quantum sensors, the edge continuum will be equipped with innovative, multi-physical capabilities to sense the environment, generating “slim” but accurate measurements. Distributed intelligence will enable emergent behavior and massive collaboration of multiple agents towards a common goal. By exploring the synergies of these cutting-edge technologies through civil safety and security, digital health, smart logistics for supply chains and propulsion use cases, A-IQ Ready will provide the basis for the digital society in Europe based on values, moving towards the ideal of Society 5.0.
more_vert Open Access Mandate for Publications assignment_turned_in Project2020 - 2023Partners:ALTUS LSA, RUB, Graz University of Technology, CTG, Royal NLR +48 partnersALTUS LSA,RUB,Graz University of Technology,CTG,Royal NLR,ANYWI,UAM,EAB,TECHNOLUTION BV,Bundeswehr,Katam (Sweden),TÜBİTAK,ESC AEROSPACE GMBH,SYSGO AG,IOTAM INTERNET OF THINGS APPLICATIONS AND MULTI LAYER DEVELOPMENT LTD,Harokopio University,Bundeswehr University Munich,AIRHOLDING S.A.,NOKIA TECHNOLOGIES,VIF,UNIPR,Avular B.V.,SMART IS MAKINALARI SANAYI VE TICARET ANONIM SIRKETI,Infineon Technologies (Austria),Lund University,INFINEON TECHNOLOGIES ITALIA Srl,TAMPERE UNIVERSITY,FHG,Polytechnic Institute of Porto,UAB,TTTech Computertechnik (Austria),AAU,IUNET,FORD OTOMOTIV SANAYI ANONIM SIRKETI,FREQUENTIS,INNATERA NANOSYSTEMS BV,ROBONIK MEKATRONIK TEKNOLOJILERI DANISMANLIK SANAYI VE TICARET LIMITEDSIRKETI,BUYUTECH TEKNOLOJI SANAYI VE TICARET ANONIM SIRKETI,ALMENDE,ISEP,CEA,TURKCELL,G&D,NXP (Netherlands),CISC Semiconductor (Austria),BMVg,TURKISH AEROSPACE INDUSTRIES TAI,Syrphus GmbH,Bauhaus Luftfahrt,HFC,MAXIMATECC,TU Delft,Infineon Technologies (Germany)Funder: European Commission Project Code: 876019Overall Budget: 41,399,600 EURFunder Contribution: 11,869,500 EURADACORSA targets to strengthen the European drone industry and increase public and regulatory acceptance of BVLOS (beyond visual line-of-sight) drones, by demonstrating technologies for safe, reliable and secure drone operation in all situations and flight phases. The project will drive research and development of components and systems for sensing, telecommunication and data processing along the electronics value-chain. Additionally, drone lead smart industries with high visibility and place for improvement will be developed which will pave the way for a higher public / industry acceptance of the drone technologies. In particular, ADACORSA will deliver: a) On the component level, functionally redundant and fail-operational radar and LiDAR sensors as well as 3D cameras. In order to reduce risk, time and costs, the project aims to adapt technologies from the automotive sector to the drone market for these components. b) On the system level, hardware and software for reliable sensor fusion and data analytics as well as technologies for secure and reliable drone communication using multipath TCP and registration and identification by developing platforms based on eUICCs/eSIM. c) On an architecture level, fail-operational drone control and investigation a pre-operational Flight Information Management System (FIMS) the integration with CoTS components for Unmanned Air Vehicle Traffic Management System (UTM). Within the project, 35 physical as well as virtual demonstrators of BLVOS, long-range drone flight shall pave the way toward certifiable systems for future integration of drone operations. ADACORSA's innovations will leverage the expertise of a very strong consortium, comprising world renowned industrial (OEMs, Tier-1, Tier-2 and technology providers) and research partners along the complete aviation, semiconductor and also automotive value chains, providing Europe with a competitive edge in a growing drone and drone technologies market.
more_vert Open Access Mandate for Publications and Research data assignment_turned_in Project2023 - 2025Partners:INNATERA NANOSYSTEMS BVINNATERA NANOSYSTEMS BVFunder: European Commission Project Code: 190123060Overall Budget: 3,563,250 EURFunder Contribution: 2,494,280 EUROver the last 5 years, the number of devices equipped with sensors has grown exponentially reaching 4 billion per year. In battery-powered devices such as phones, smartwatches, wireless earphones, & video doorbells, energy-efficient processing of the complex, continuous data coming out of multiple sensors is a critical problem. Innatera is a trailblazing semiconductor spin-off of the TU Delft & is bringing to the market neural processors. Our Spiking Neural Processor (SNP) is inspired by the way neurons function in our brain using a neural network with an inherent notion of time. At the sensor edge, SNP can deliver always-on pattern recognition functionalities in power & latency-sensitive applications via an innovative programmable architecture. It enables application-specific customers to implement immediately ready-to-use high-performance pattern recognition. SNP delivers market-leading differentiation with faster time-to-market & reduced development effort.
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