Introduction to neuromorphic computing

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The power consumption of the brain is approximately 20 watts, comparable to that of some light bulbs 💡. Currently, digital computers operate at power inputs that are several orders of magnitude higher, particularly when AI algorithms attempt to emulate a subset of brain capabilities.

🪄Should we consider mimicking the brain to investigate the potential in biomimetic computation and algorithms, especially in the design of intelligent and efficient robotic agents?  

In this blog post, relAI PhD student Ahmed Abdelrahman, introduces neuromorphic computing. This emerging research field aims to replicate the brain's fundamental neural structures and characteristics in silico, paving the way for the next generation of AI.

It is definitely a must-read post: https://zuseschoolrelai.de/blog/neuromorphic-computing/.

We are excited to announce the release of the relAI Blog. The blog is the relAI students' platform for sharing cutting-edge research and developments from our school, highlighting the significant strides relAI is making toward making AI systems safer, more trustworthy, and privacy-preserving. 

The blog posts, authored by the students, will cover a diverse range of topics. From introductory discussions on relAI research to the latest project outputs, and even reports on interesting aspects of relAI life. The Blog Editorial Team, composed of relAI students, plays a crucial role in the editorial revision and publication. 

The blog starts out with two posts, a welcome from the Editorial Team and an interesting introduction to uncertainty quantification from relAI PhD student and member of the Editorial Team, Lisa Wimmer.