Ettevalmistustoetuse taotlemine (TIRAMISU)

5868670 428625 0 0 -3810 9839325 Ehitajate tee 5 19086 Tallinn Rg-kood 74000323 Tel 620 2002 E-post [email protected] www.taltech.ee 0 0 Ehitajate tee 5 19086 Tallinn Rg-kood 74000323 Tel 620 2002 E-post [email protected] www.taltech.ee -3810 428625 0 0 SA Eesti Teadusagentuur Soola 8 20 . 0 6 .20 2 4 nr 11-10/ 195-1 6 51004 Tartu Ettevalmistustoetuse taotlemine Käesolevaga taotleb Tallinna Tehnikaülikool ( reg nr 74000323, ak EE201010052037382001 ) ettevalmistustoetust p rojekti taotlusele Training and Innovation in Reliable and Efficient Chip Design for Edge AI - TIRAMISU ( 101169378 , HORIZON-MSCA-2023-DN-01 ) , vastutav täitja Maksim Jenihhin , arvutisüsteemide instituut . Lugupidamisega (allkirjastatud digitaalselt) Marika Lunden Teadusosakond Lisa: ESR left 284480 Riina Vilgats 620 3536 [email protected] 0 0 Riina Vilgats 620 3536 [email protected] Associated with document Ref. Ares(2024)2152527 - 21/03/2024 Proposal Evaluation Form EUROPEAN COMMISSION Evaluation Summary Horizon Europe Framework Programme (HORIZON) Report - Doctoral Networks Call: HORIZON-MSCA-2023-DN-01 Type of action: HORIZON-TMA-MSCA-DN Proposal number: 101169378 Proposal acronym: TIRAMISU Duration (months): 48 Proposal title: Training and Innovation in Reliable and Efficient Chip Design for Edge AI Activity: ENG N. Proposer name Country Total % Grant % eligible Requested costs 1 TALLINNA TEHNIKAÜLIKOOL EE 477,014.4 12.39% 477,014.4 12.39% 2 TECHNISCHE UNIVERSITEIT DELFT NL 548,740.8 14.25% 548,740.8 14.25% 3 POLITECNICO DI TORINO IT 518,875.2 13.47% 518,875.2 13.47% 4 UNIVERSITY OF CYPRUS CY 470,160 12.21% 470,160 12.21% 5 CADENCE DESIGN SYSTEMS GMBH DE 521,078.4 13.53% 521,078.4 13.53% 6 STICHTING IMEC NEDERLAND NL 274,370.4 7.12% 274,370.4 7.12% 7 PUNCH Softronix Srl IT 259,437.6 6.74% 259,437.6 6.74% 8 INFINEON TECHNOLOGIES AG DE 521,078.4 13.53% 521,078.4 13.53% 9 FRAUNHOFER GESELLSCHAFT ZUR FORDERUNG DER DE 260,539.2 6.76% 260,539.2 6.76% ANGEWANDTEN FORSCHUNG EV 10 BERNER FACHHOCHSCHULE CH 0 0.00% 0 0.00% Total: 3,851,294.4 3,851,294.4 Abstract: Artificial intelligence is increasingly being brought to the source of data, thus establishing the Edge AI concept. Edge AI is gaining momentum across various industries and services by public authorities and enables new applications requiring high performance, ultra-low latency with high bandwidth, efficient power use, and intelligence beyond regular computing. Its strategic importance is emphasised through the EU Chips Act monetary investments in the EU semiconductor supply chain, highlighting the urgent need for a qualified workforce. The advancements in Edge AI applications face critical research and engineering challenges related to limited computing and energy resources of the edge devices, limitations of the existing AI algorithms and their insufficient fit. Also, the related rapid technological advancements, market dynamics, interdisciplinarity, and regulatory uncertainty set a unique challenge for the valorisation and management of Edge-AI innovations. 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 - PUNCH, 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. Evaluation Summary Report Evaluation Result Total score: 97.00 % (Threshold: 70 /100.00) 101169378/TIRAMISU-21/03/2024-18:04:23 1/4  Associated with document Ref. Ares(2024)2152527 - 21/03/2024 Criterion 1 - Excellence Score: 4.80 (Threshold: 3 / 5.00 , Weight: 50.00% ) • Quality and pertinence of the project’s research and innovation objectives (and the extent to which they are ambitious, and go beyond the state of the art). • Soundness of the proposed methodology (including interdisciplinary approaches, consideration of the gender dimension and other diversity aspects if relevant for the research project, and the quality and appropriateness of open science practices). • Quality and credibility of the training programme (including transferable skills, inter/multidisciplinary, inter-sectoral and gender as well as other diversity aspects). • Quality of the supervision (including mandatory joint supervision for industrial and joint doctorate projects). Strengths: - The quality and pertinence of the research and innovation objectives are excellent, very relevant and precisely specified targeting training and innovation in chip design for Edge Artificial Intelligence. - The integration and contribution of the individual projects to the overall research and research areas are excellent and precisely formulated, e.g., individual projects are very well identified for each of the research pillars proposed. - The measurability, verifiability and achievability of the objectives are excellent and precisely identified, e.g. clear target measurable improvements of the design and deployment time for Edge-AI algorithms onto hardware platforms are provided. - The research credibly goes beyond the state of the art and is very innovative and ambitious. The major research innovations and advances are convincingly highlighted, e.g., novel low-cost and ultra-low-power hardware, and methodologies aiming at Edge AI system robustness. - The methodology for the majority of aspects is excellent, including challenges, techniques, hardware and models. - The interdisciplinary aspects are excellent, technical fields and soft sciences are precisely specified. - The open science practices are very good and very well formulated, e.g. developed tools will be provided with scripts. The research data management is very good, and in line with the FAIR principles. - The technical robustness of the proposed AI system is sufficiently addressed and clearly considers the specifications of the foreseen applications. - There is a credible and clear strategy regarding network-wide scientific and industrial training which well complement the local training. The training includes workshops, summer schools, technical meetings, a final conference, and an orientation day for the doctoral candidates. - The transferable skills actions are excellent and precisely identified including gender dimension in Edge-AI research, entrepreneurship training, and research ethics and sustainable research management training. - The proposal shows a very high standard in terms of supervision with very clear indication on the process for progress monitoring and evaluation of individual research projects, with highly qualified supervisors having a strong mix of academic and non-academic supervisors and co-supervisors. Weakness: - A minor shortcoming is that the network-wide training activities are not sufficiently detailed. Criterion 2 - Impact Score: 4.90 (Threshold: 3 / 5.00 , Weight: 30.00% ) • Contribution to structuring doctoral training at the European level and to strengthening European innovation capacity, including the potential for: a) meaningful contribution of the non-academic sector to the doctoral training, as appropriate to the implementation mode and research field b) developing sustainable elements of doctoral programmes. • Credibility of the measures to enhance the career perspectives and employability of researchers and contribution to their skills • Suitability and quality of the measures to maximise expected outcomes and impacts, as set out in the dissemination and exploitation plan, including communication activities.development. • The magnitude and importance of the project’s contribution to the expected scientific, societal and economic impacts. Strengths: - The contribution of the non-academic sector to the doctoral training is excellent and very convincingly detailed. - The proposal provides many elements substantiating that the project will effectively develop sustainable elements for doctoral programmes beyond the project’s lifespan. The proposal very well specifies how the partners will facilitate the recruitment of individuals after the end of the project. - The measures include training through research, transferable skills, and interdisciplinary secondments and as such, it will enhance the career prospects of researchers and contribute to their skills development. - The proposal identifies very well how the proposed skills will improve the doctoral candidates employability in industry and academia. For example, the skills will credibly open opportunities for employment at venture capital companies, at the companies’ partners, to obtain grants and to build strong research teams at academic institutions. - The proposal intends to deploy a complete set of tools for communication and dissemination activities maximizing expected outcomes and impacts. - Public engagement activities are very good, including seminars with public authorities, open days and festivals, school visits and an outreach platform. - The exploitation plans are excellent with very clear exploitation targets from the industry and academic partners, e.g., patents, start-ups, and standardization are clearly considered. - The strategy for managing of IP is very good and clearly formulated, a detailed IP management plan will be developed, and innovations will be monitored for IP protection. - The expected scientific impacts are excellent and credible, for example short-, medium-, and long- impacts are precisely identified as well as target groups. - The expected economic impacts are excellent, and credible figures are provided in terms of innovation growth, creation of jobs and start-ups, also the mid-/long term creation of local knowledge hubs. - The expected societal and environmental impacts are excellent with clear impacts addressing sustainable goals and communities in Europe including for example the short-to long-term outreach platform for the general public. Weakness: - A minor shortcoming is that the proposal does not sufficiently specify an adequate approach to the dissemination. Criterion 3 - implementation Score: 4.90 (Threshold: 3 / 5.00 , Weight: 20.00% ) 101169378/TIRAMISU-21/03/2024-18:04:23 2/4  Associated with document Ref. Ares(2024)2152527 - 21/03/2024 • Quality and effectiveness of the work plan, assessment of risks and appropriateness of the effort assigned to work packages. • Quality, capacity and role of each participant, including hosting arrangements and extent to which the consortium as a whole brings together the necessary expertise. Strengths: - The work plan is very good and consistent with the proposed objectives. Work packages are very well organized with clear objectives and tasks. - The effort assigned to work packages is very well balanced and major deliverables are coherent with the work plan. - The individual projects are excellent and very well integrated within work packages; objectives, expected results and secondments are precisely identified. - The progress monitoring of the individual projects is excellent; the supervisory board will be responsible for evaluation and technical progress, and meetings with co-supervisors are also planned. - The risk management is excellent including scientific and administrative risks with very good mitigation measures. - The recruitment strategy is excellent and very comprehensive; channels for recruitment and selection of doctoral candidates are very well considered. - The infrastructure, operational capacity, and facilities that the participants can offer are excellent and significant for the implementation of the research and training. - The participants complementarities and composition are excellent covering innovation management research and training. - The commitment, including roles and active contribution of the participants is very good and relevant. Partners are fully committed by providing supervision, access to tools, infrastructure, use cases and hosting support. Weakness: - A minor shortcoming is that the proposal does not adequately elaborate on the scientific milestones considering the complexity of project. Scope of the proposal Status: Yes Comments (in case the proposal is out of scope) Not provided Exceptional funding A third country participant/international organisation not listed in the General Annex to the Main Work Programme may exceptionally receive funding if their participation is essential for carrying out the project (for instance due to outstanding expertise, access to unique know-how, access to research infrastructure, access to particular geographical environments, possibility to involve key partners in emerging markets, access to data, etc.). (For more information, see the HE programme guide ) Please list the concerned applicants and requested grant amount and explain the reasons why. Based on the information provided, the following participants should receive exceptional funding: Not provided Based on the information provided, the following participants should NOT receive exceptional funding: Not provided Use of human embryonic stem cells (hESC) Status: No If YES, please state whether the use of hESC is, or is not, in your opinion, necessary to achieve the scientific objectives of the proposal and the reasons why. Alternatively, please state if it cannot be assessed whether the use of hESC is necessary or not because of a lack of information. Not provided Use of human embryos Status: No If YES, please state how the human embryos will be used in the project. Not provided Activities excluded from funding Status: No 101169378/TIRAMISU-21/03/2024-18:04:23 3/4  Associated with document Ref. Ares(2024)2152527 - 21/03/2024 If YES, please explain. Not provided Do no significant harm principle Status: Yes If Partially/No/Cannot be assessed please explain Not provided Exclusive focus on civil applications Status: Yes If NO, please explain. Not provided Artificial Intelligence Status: Yes If YES, the technical robustness of the proposed system must be evaluated under the appropriate (excellence?) criterion. Overall comments Not provided 101169378/TIRAMISU-21/03/2024-18:04:23 4/4  Digitally sealed by the European Commission Date: 2024.03.21 19:13:21 CET This electronic receipt is a digitally signed version of the document submitted by your organisation. Both the content of the document and a set of metadata have been digitally sealed. This digital signature mechanism, using a public-private key pair mechanism, uniquely binds this eReceipt to the modules of the Funding & Tenders Portal of the European Commission, to the transaction for which it was generated and ensures its full integrity. 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