IntelliTUM

rethinking intelligence

Team

We are a diverse team of science students

• Annie Bao, studying B. Sc. Biochemistry
• Niranjan Kumar, studying M. Sc. Mathematics
• Jakub Niklas, studying B. Sc. Biochemistry
• Janice Nsanzimana, studying B. Sc. Physics
• Jan Vitzthum, studying B. Sc. Engineering Science
• Ludwig Zeller, studying B. Sc. Mathematics

united under a shared vision.

Motivation

We strive to identify the source of the gap between natural and artificial intelligence.
In the beginning, this crystallized in the form of the question: “How do brain-organoids and artificial neural networks compare in learning rates and energy consumption and information density, when solving simple problems, for example, predicting the next number in a sequence?”
But through more and more iterations and a shared interest in artificial neural network architectures, we have decided to narrow our focus onto Spiking Neural Networks, an architecture that closely resembles how we expect nature to behave. Furthermore, we are working on neuromorphic computing to research how Spiking Neural Networks might be useful in real-world applications. Another side we want to include is Brain Computer Interfaces, as our brain itself is a Spiking Neural Network.

Progress

We are currently in contact with different research laboratories to collaborate on this project and figuring out an arrangement such that all parties will profit.
We have drafted a couple of Spiking Neural Networks as toy project, to get used to this novel architecture and are actively looking into the theory behind using Spiking Neural Networks as a general Approximator.
Other than that we have channels to neuroTUM, a student club working on neuromorphic computing.