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Research & Development

Solving complex challenges
in entirely new ways

Latest works

Improving Continual Learning Performance and Efficiency with Auxiliary Classifiers

  • Novel approach to continual learning using Auxiliary Classifiers (ACs)
  • Improves accuracy by ~10% without changing core training methods
  • Enables early-exit inference, reducing compute by 10–60%
  • Compatible with multiple architectures (ResNet, VGG19, ViT, WideResNet)

Possible applications

  • Scalable continual learning in vision tasks, efficient AI systems for resource-constrained environments

Our grants

Examode–H2020

Duration

2019–2023

Industry

Healthcare

Project budget

4M EUR

Tooploox allocation

600K EUR

Consortium leader

University of Applied Sciences,
Bern, Switzerland

Our team

Tomasz Trzciński, Prof. Chief Scientist
Ivona Tautkute-Rustecka, PhD Senior AI Engineer
Maciej Zięba, Prof. Head of R&D
Rafał Topolnicki, PhD Senior ML Engineer
Rafał Nowak, PhD ML/AI Researcher
Paweł Lorek, Prof. Data Scientist
Joanna Kaczmar-Michalska, PhD candidate Senior ML Engineer & Researcher
Adam Słucki, PhD candidate ML Engineer
Mateusz Kobos, PhD ML Engineer
Mirek Korzeniowski, PhD Data Scientist
Szymon Stoma, PhD Co-founder Tooploox Research

Let our team outthink your challenges

Research

Prototyping and Proof
of concept

Feasibility study

MVP

Key milestone in Solvd research department

2019

Microscope IT represents Polish tech at CERN

2019

Strategic partnership with Microscope IT 

2025

Tooploox joins Solvd 

Ready to take your business to the next level?