German researchers from Technische Universität Dresden have developed a new material design for neuromorphic computing, using a technique called "reservoir computing" to perform algorithmic functions near-instantaneously. This breakthrough could have revolutionary implications for both blockchain and AI.

Neuromorphic computers are purpose-built for dealing with problems that involve a lack of information, making them ideal for pattern recognition and machine learning algorithms. They could significantly reduce the cost in terms of time and energy when it comes to both operating a blockchain and mining new blocks on existing blockchains, as well as providing significant speedup for machine learning systems.