Ongoing projects
CRASHLESS
PRG1467 "CRASHLESS - Cross-Layer Reliability and Self-Health Awareness for Intelligent Autonomous Systems " (01.01.2022−31.12.2026); Principal Investigator: Maksim Jenihhin; Tallinn University of Technology, School of Information Technologies, Department of Computer Systems; Financier: Estonian Research Council.
CRASHLESS aims at radically new cross-layer reliability and self-health awareness technology for tomorrow's intelligent autonomous systems and IoT edge devices in Estonia and EU.
The enormous complexity of today's advanced cyber-physical systems and systems of systems is multiplied by their heterogeneity and the emerging computing architectures employing AI-based autonomy. The setups, such as autonomous swarms of robotic vehicles, are already on the doorstep and call for novel approaches for reliability across all the layers. Continuous self-health awareness and infrastructure for in-field self-healing are becoming an enabling factor for new IoT edge devices and systems on the way to market.
The new deep-tech by CRASHLESS equips engineers with design-phase solutions and in-field instruments for industry-scale systems and, ultimately, facilitates the user experience of the system’s crashless operation. The results are to be validated in close collaboration with Estonian companies.
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TIRAMISU
VHE24034 (101169378) "Training and Innovation in Reliable and Efficient Chip Design for Edge AI" (01.09.2024−31.08.2028); Principal Investigator: Maksim Jenihhin; Tallinn University of Technology, School of Information Technologies, Department of Computer Systems (coordinator); Financier: European Commission.
TIRAMISU “Training and Innovation in Reliable and Efficient Chip Design for Edge AI” is a European HORIZON MSCA Doctoral Network project. The general research objective of TIRAMISU is a practical methodology for reliable and energy-efficient Edge AI hardware backbone design and innovation management. The action will provide strong interdisciplinary training for future European engineers and researchers driving the innovation for reliable and energy-efficient Edge AI chips. The consortium is strategically designed to foster cross-disciplinary synergies, by seamlessly integrating innovation management research with the technical aspects of Edge AI design. The non-academic sector is represented by a European flagship R&D hub for nanoelectronics - IMEC, a global leader in industrial electronics and the largest semiconductor manufacturer in Germany - Infineon, a trusted automotive solutions provider - Dumarey, the worldwide leader in EDA tools development - Cadence. The academic excellence is established by the top ICT and Technology Innovation engineering universities and Europe's largest application-oriented research organisation - Fraunhofer.
Partners:
Delft University of Technology (TUD) Netherlands
Politecnico di Torini (PDT) Italy
University of Cyprus (UCY) Cyprus
Cadence Design Systems (CDNS) Germany
IMEC-NL (IMEC) Netherlands
Dumarey Softronix (DUS) Italy
Infineon Technologies (IFAG) Germany
Fraunhofer-Gesellschaft (FHG) Germany
Bern University of Applied Science (BFH) Switzerland
TAICHIP
VHE24037 "Boosting TalTech Capacity in Reliable and Efficient AI-Chip Design. " (01.09.2024−31.08.2027); Principal Investigator: Maksim Jenihhin; Tallinn University of Technology, School of Information Technologies, Department of Computer Systems (coordinator); Financier: European Commission
Building on TalTech’s expertise in the field of computer engineering and its high-level capacity in the domain of diagnostics and testing of nanoelectronic systems, this project aims at establishing in TalTech, with the strong support of the Advanced Partners, the capacity to R&D&I a complete customised AI-chip design flow. The research ambition of the TAICHIP (TalTech AI-chip) action is a leading-edge forward-thinking R&D framework for reliable and resource-efficient custom AI-chips based on open HW architectures (e.g., RISC-V, NVDLA), open EDA (Electronic Design Automation) tools, methodologies and implementation technologies satisfying the requirements of AI applications of tomorrow. TAICHIP project also allows building at TalTech the necessary scientific knowledge, research skills, administrative and management skills, as well as strengthening its advanced training and education capacity. Evenly related to the central goal are the additional measures that focus on building the supporting capacities, as well as dissemination, exploitation and communication, and public policy focused activities.
Partners:
IHP Microelectronics (IHP)
Ecole Centrale de Lyon (ECL)
University of Manchester (UOM)
ETH Zürich (ETHZ)
Foundations of the Universe
The CoE "Universum" offers interdisciplinary research aimed at cross-correlating the results of GW observations with ongoing theoretical and experimental efforts in cosmology, particle physics and gravity. The CoE combines Estonian expertise in the mentioned fields and provides a unified framework that promotes interdisciplinary cooperation. Besides fundamental research, the proposed activities involve the development of experimental hardware and info-technology methods to extend current capabilities, including next-generation machine learning algorithms and the potential applications of quantum computers in fundamental research. The CoE relies on Estonian membership in ESA and CERN to boost knowledge transfer, cooperation with industry, and raise the international competitiveness and awareness of Estonian science.
Estonian Center of Excellence of Well-Being Sciences
CERN Science Consortium of Estonia
CERN is the world's greatest science centre that builds and operates high and low energy particle physics experiments and cosmic ray, atmospheric physics and material science experiments, does R&D and works out new technical and IT solutions.