Peter Greve
Papers
1
Total Citations
4
H-Index
1
About
Peter Greve is a researcher whose work lies at the intersection of human-computer interaction and neural network design. His primary research area explores how non-experts can participate in the engineering of artificial neural networks, a field he terms "human-based neural network engineering." His most notable contribution is the development of BrainCrafter, an online platform that allows users to manually construct and refine artificial neural networks to control a robot in a maze environment. This tool empowers individuals to either build networks from scratch or build upon the work of others, effectively crowdsourcing the optimization of neural architectures. While his most-cited paper, "BrainCrafter: An investigation into human-based neural network engineering" (2015), has garnered 4 citations, its true impact lies in its pioneering approach to democratizing AI design. By enabling collaborative, human-driven network construction, Greve has opened new avenues for education and participatory machine learning, challenging the notion that neural network engineering is solely the domain of experts.
Research Focus
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Top Papers
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