Artur Jutman

Publications

Authors: Ubar, Raimund; Raik, Jaan; Jenihhin, Maksim; Jutman, Artur
Year: 2024
Journal / Periodical: 2024 IEEE International Conference on Design, Test and Technology of Integrated Systems (DTTIS)
Authors: Cherezova, Natalia; Jenihhin, Maksim; Jutman, Artur
Year: 2024
Journal / Periodical: Keynote: Cost-Efficient Reliability for Edge-AI Chips
Authors: Jenihhin, M.; Taheri, M.; Cherezova, N.; Ahmadilivani, M.H.; Selg, H.; Jutman, A.; Shibin, K.; Tsertov, A.; Devadze, S.; Kodamanchili, R.M.; Rafiq, A.; Raik, J.; Daneshtalab, M.
Year: 2024

Projects

Year: 2024 - 2027
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.
Year: 2022 - 2026
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.

Recognitions

Academician Boris Tamm’s honorary scholarship
2009
1st prize at the contest of student works by Estonian Ministry of Education
2000