German startup plans to make AI systems more human

The Munich startup is planning blockchain-based neuromorphic computing research to make AI systems more trustworthy.

Artificial intelligence is not a new topic that has only arisen in recent years but has been a concern of humanity for decades. The connection of computers with human intelligence has been a dream of computer experts since the beginning of electronic computing. In the following decades, the scientific field of the AI ​​went through highs and lows, phases with high research activities alternated with years of low research activities and investments. Neuromorphic computing is a collection of technologies that mimic biological neural networks to improve the hardware efficiency and robustness of computing systems. The traditionally separate modules for input/output, instruction processing, and storage are often replaced.

The Munich-based company plans to enrich the neuromorphic computing research with blockchain technology. This should enable traceable processes in the AI ​​systems and neural networks. The 7-member research team consists of the renowned researchers Michael Brandt, who is also the managing director, Thomas Voigt and Christoph Seidel from the Ludwig Maximilians University in Munich. In addition to research, the company plans to provide a decentralized marketplace for neuromorphic chips and other technologies. In this marketplace, technology companies will have the opportunity to use the specially created token NMP to acquire the technology licenses and to find suitable suppliers at the same time. The basis for this is to provide a smart contract, which at the same time enables investors to participate in the company and to create additional transparency about all processes and transactions.

Biologically inspired neuromorphic computing is of relatively great importance for all AI applications. This hardware technology is still in development in many respects and, unlike most other AI technologies, has not seen a growth spurt in recent years driven by the availability of large amounts of data and increased computing power. The coming years will show whether the Munich startup can advance the AI ​​technology with the planned research. According to Managing Director Brandt, the changes are also good to receive EU subsidies for the research approaches and to make great progress over the next few years.

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