The introduction of connected, cooperative and automated mobility (CCAM) can make a significant improvement to logistic chains. The MODI project will identify and largely resolve barriers on confined areas and on public roads for SAE L4 CCAM vehicles on the corridor from Rotterdam to Oslo, and demonstrate the solutions. Coordination is a central element of development in this project: it enables early integration of CCAM in current logistic vehicle operations, adding more efficiency benefits for logistics companies and thus creating an attractive path to deployment. Coordination is also needed for smart traffic management in the public domain. The project comprises five different use cases, each describing a part of the logistics chain. It identifies what is already possible on SAE L4, and what is not possible yet. For the public roads, the project will focus on understanding and overcoming the regulatory barriers and PDI shortcomings on the motorway corridor with road authorities and OEMs of the project involved. In cocreation with all stakeholders the project will search for an optimal combination of physical, digital infrastructure and OEM equipment, easy to implement and low in costs for all parties. In addition to the demonstrations, the project provides detailed business models for the logistics sector, demonstrating that the use of CCAM can lead to greater profits, especially when vehicles drive on a coordinated way. The consortium consists of 8 industry partners: OEMs, ITS solutions providers, test centers and logistical companies; engineering and research providers with 4 RTOs, 3 universities; and associations of logistical companies, Tier 1 companies, ITS service providers. Complemented with road authorities and cities/regions along the corridor, representing the complete value chain. A strong stakeholder group is committed (signed LoS).

The goal of the PRIME project is to establish an open Ultra Low Power (ULP) Technology Platform containing all necessary design and architecture blocks and components which could enable the European industry to increase and strengthen their competitive and leading eco-system and benefit from market opportunities created by the Internet of Things (IoT) revolution. Over 3 years the project will develop and demonstrate the key building blocks of IoT ULP systems driven by the applications in the medical, agricultural, domestics and security domains. This will include development of high performance, energy efficient and cost effective technology platform, flexible design ecosystem (including IP and design flow), changes in architectural and power management to reduced energy consumption, security blocks based on PUF and finally the System of Chip and System in Package memory banks and processing implementations for IoT sensor node systems. Developped advanced as 22nm FDSOI low power technologies with logic, analog, RF and embedded new memory components (STT RAM and RRAM) together with innovative design and system architecture solutions will be used to build macros and demonstrate functionality and power reduction advantage of the new IoT device components. The PRIME project will realize several demonstrators of IoT system building blocks to show the proposed low power wireless solutions, functionality and performance of delivered design and technology blocks. The consortium semiconductor ecosystem (IDMs, design houses, R&D, tools & wafer suppliers, foundries, system/product providers) covers complementarily all desired areas of expertise to achieve the project goals. The project will enable an increase in Europe’s innovation capability in the area of ULP Technology, design and applications, creation of a competitive European eco-system and help to identify market leadership opportunities in security, mobility, healthcare and smart cost competitive manufacturing.

EdgeAI is as a key initiative for the European digital transition towards intelligent processing solutions at the edge. EdgeAI will develop new electronic components and systems, processing architectures, connectivity, software, algorithms, and middleware through the combination of microelectronics, AI, embedded systems, and edge computing. EdgeAI will ensure that Europe has the necessary tools, skills, and technologies to enable edge AI as a viable alternative deployment option to legacy centralised solutions, unlocking the potential of ubiquitous AI deployment, with the long-term objective of Europe taking the lead of Intelligent Edge. EdgeAI will contribute to the Green Deal twin transition with a systemic, cross-sectoral approach, and will deliver enhanced AI-based electronic components and systems, edge processing platforms, AI frameworks and middleware. It will develop methodologies to ease, advance and tailor the design of edge AI technologies by co-ordinating efforts across 48 of the brightest and best R&D organizations across Europe. It will demonstrate the applicability of the developed approaches across a variety of vertical solutions, considering security, trust, and energy efficiency demands inherent in each of these use cases. EdgeAI will significantly contribute to the grand societal challenge to increase the intelligent processing capabilities at the edge.