Increasing digitalization is constantly driving the demands on electronic hardware.
Speed, performance, miniaturization and energy efficiency are becoming increasingly important when it comes to enabling applications in the field of big data and artificial intelligence (AI).
A promising solution approach is offered by so-called neuromorphic computing, which aims to emulate the self-organizing and self-learning nature of the brain.
Fraunhofer IPMS is developing materials and hardware for this purpose and presented its developments at the Technology Unites Global Summit.
Our hunger for data is insatiable.
Already today, 90 % of people in Germany are online, and the trend is rising.
Also, machines, cars and technical objects are continuously sending and receiving data as a result of increasing digitalization.
Forecasts predict data traffic of 172 terabits per second this year
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