Towards a revolution in cryptos and AI thanks to neuromorphic computing

Recently, artificial intelligence (AI) and blockchain seem to be competing. This, even if some find them a certain complementarity. However, recent work related to the emerging area of ​​neuromorphic computing may bridge these two areas of computing.

Neuromorphic computing, a game changer for blockchain and AI?

In a recent analysis, the famous economist Nassim Nicholas Taleb suggested the existing rivalry between cryptos and AI. This competition could turn into effective complementarity. This, thanks to the results of a recent study conducted at the Technische Universität Dresden in Germany.

The study mainly covers the sector of neuromorphic computing. This is a nascent field of computer science that designs information processing mechanisms, inspired by the functioning of the human brain.

The approach of this discipline consists of developing electronic devices that imitate the neural circuits of the human brain. The goal is to create computers that perform certain tasks more efficiently and faster than conventional computers.

And we can say that the work of researchers from this German university is bearing its first fruits. Indeed, these scientists have managed to design a computer that works with neuromorphic computer chips. Materials that give them unparalleled, almost human execution capabilities.

To achieve this level of performance, these neuromorphic computer chips exploit what is called “reservoir computing”. A process that makes ultra-fast algorithmic functions possible, thanks to magnetic properties.

This unique ability allows neuromorphic computers to excel in pattern recognition. They are also very good at machine learning algorithms. Especially in situations involving noisy or incomplete data.

This is not the case with conventional computers, which perform better in numerical calculations using Boolean algebra. But not very effective in solving complex cryptographic puzzles, among others.

A certain added value?

This is therefore the added value of this work, the potential of which is immediately apparent. Sectors such as cryptos, AI, but also finance or transport could find themselves revolutionized. For a simple reason: not only do these sectors require real-time data processing. But the properties of neuromorphic computer chips also favor the resolution of problems relating to incomplete information. This is a major step forward.