Projects

Current and completed research projects from the RSS group.

Current

Active projects

Current public projects are listed first to keep the page aligned with ongoing lab work.

AI-DISCO project image

AI-DISCO

Funder: Federal Ministry of Research, Technology and Space (BMFTR)

Grant ID: 16ME1127

Active

2026-2030

* motivation Research-intensive microelectronics and its applications are drivers of progress, competition, and innovation across all industries. To accelerate the transfer of knowledge and expertise to industry and to s...

Hardware AccelerationSecurityReliabilityNeuromorphic ComputingModel OptimizationFederated LearningApproximate Computing
Project

CRASHLESS

Funder: Estonian Research Council Grant

Grant ID: PUT PRG1467

Active

(Contributing research activities without direct consortium partnership involvement) CRASHLESS is a research initiative focused on the reliability and dependability of AI hardware accelerators operating under hardware fa...

SecurityReliabilityApproximate ComputingModel OptimizationHardware Acceleration
Project

TAICHIP

Funder: EU Horizon Europe Twinning Program

Grant ID: 101160182

Active

TAICHIP is an international collaboration initiative aimed at strengthening research excellence in trustworthy and sustainable AI chip design through collaboration between academic and industrial partners across Europe....

Hardware AccelerationReliabilitySecurityModel Optimization

Archive

Other public projects

Completed, planned, or paused projects remain visible here when they have been made public.

Project

AI-based Quality Control

Funder: Co-founded by EU Commission

Grant ID: VEU22026IA5

Completed

2024–2025

This project focused on the development of efficient AI-driven quality control methodologies for industrial inspection and monitoring applications. The work investigated how deep neural networks can be deployed on resour...

Model OptimizationReliability
Project

EnTrustED (PARROT)

Funder: Estonian–French Collaborative Research Initiative

Completed

EnTrustED is a collaborative research effort between Estonian and French partners focusing on dependable and trustworthy embedded AI systems. The project investigates methodologies for improving robustness, resilience, a...

ReliabilityApproximate ComputingSecurity