Collaborative Projects

External and collaborative projects involving researchers associated with RSS.

AI-DISCO project image

AI-DISCO

Collaborative Project

IHP · BTU Cottbus-Senftenberg +6 more

Active

2026-2030

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

* 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

Collaborative / External Project

TalTech

Active

Funder: Estonian Research Council Grant

(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

Collaborative Project

TalTech · IHP +3 more

Active

Funder: EU Horizon Europe Twinning Program

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

Previous Work

Completed research conducted before the current HU institutional setting.

Project

AI-based Quality Control

Previous Work

Completed

2024–2025

Funder: Co-founded by EU Commission

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)

Previous Collaborative Work

TalTech

Completed

Funder: Estonian–French Collaborative Research Initiative

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