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start [2025/03/05 13:03] kkaragozstart [2025/12/08 14:51] (current) kkaragoz
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-Hello there welcome to my wiki page. This wiki page is quite new to me, but I will get used to it in time. I decided to create a wiki after struggling to find my instruction-based notes on obsidian. It was hard to find and trace. Obsidian is pretty good software for note-taking but it didn't fullfill some of my desires. I am an electrical-electronics engineer. I generally interested with:+Hello therewelcome to my wiki page. This wiki page is quite new to me, but I will get used to it in time. I decided to create a wiki after struggling to find my instruction-based notes on obsidian. It was hard to find and trace. Obsidian is pretty good software for note-taking but it didn't fullfill some of my desires. I am an electrical-electronics engineer. I generally interested with:
  
   * Programming   * Programming
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   * Most of the stuff related with electromagnetism   * Most of the stuff related with electromagnetism
  
-$$ \frac{d}{dx}\left( \int_{0}^{xf(u)\,du\right)=f(x) $$+Here is my favorite formula 🌼🌷: 
 +$$ \psi = kd \cos{\theta$$ 
 +$$ AF = \sum_{m=0}^{N-1}e^{jm\psi} = 1 + e^{j\psi+ e^{j2\psi+ ... + e^{j\left(N-1\right)\psi} $$ 
 +The maximum value of AF occurs when $\psi=0$, resulting in $AF = N$. Therefore, disregarding the phase factor and normalizing we obtain.  
 +$$ f\left(\psi\right= \frac{\sin{\frac{N\psi}{2}}}{N\sin{\frac{\psi}{2}}} $$ 
 + 
 +{{:technology_revolution.png?400}} 
 + 
 +{{:technology_revolution_2.png?400}} 
 + 
 +^Technology^Year^Group Labels| 
 +|Linux Kernel|1991|Cloud & Virtualization| 
 +|VMWare|1999|Cloud & Virtualization| 
 +|KVM (Kernel-Based Virtual Machine)|2006|Cloud & Virtualization| 
 +|AWS|2006|Cloud & Virtualization| 
 +|LXC (Linux Containers)|2008|Containers/Orchestration| 
 +|OpenStack|2010|Cloud & Virtualization| 
 +|Docker|2013|Containers/Orchestration| 
 +|Kubernetes|2014|Containers/Orchestration| 
 +|CNCF & DPDK|2015|Containers/Orchestration| 
 +|TensorFlow|2016|AI/ML| 
 +|Transformer|2017|AI/ML| 
 +|Diffusion Models|2020|AI/ML| 
 +|Midjourney|2022|AI/ML| 
 +|ChatGPT|2022|AI/ML| 
 +|Generative AI (LLaMa, DALL-E, Stable Diffusion, etc.)|2023|AI/ML| 
 +|SORA|2024|AI/ML|
  
  
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