Jan Piskur
Papers
1
Total Citations
4
H-Index
1
About
Jan Piskur is a researcher whose work sits at the intersection of human-computer interaction and artificial intelligence, with a particular focus on crowdsourced neural network design. His most notable contribution is the development of BrainCrafter, an innovative online platform that enables users to manually construct artificial neural networks to control a robot navigating a maze. This work, published in 2015, explores how non-experts can collaboratively engineer AI systems, blending human intuition with machine learning. While his most-cited paper has garnered 4 citations, its conceptual impact lies in pioneering a novel approach to democratizing neural network creation—a precursor to later trends in human-in-the-loop AI and citizen science. Piskur’s research challenges traditional boundaries between human and machine intelligence, offering a hands-on method for understanding and building AI. His work is particularly relevant for students and researchers interested in accessible AI design, crowdsourced problem-solving, and the future of interactive machine learning.
Research Focus
Key Achievements
Top Papers
- 1