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Hi, I'm Konrad, an engineer specializing in silicon design and FPGA development. I'm currently exploring the potential of hardware accelerators for machine learning applications.

Featured Articles

FPGA 101 - Introduction

Field Programmable Gate Arrays (FPGAs) are integrated circuits made up of CLBs (Configurable Logic Blocks). The term "field programmable" refers to the ability for users to reconfigure the FPGA based on their needs...

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From Theory to Code: Implementing a Neural Network in 200 Lines of C

Neural networks are computational models inspired by the human brain, capable of learning complex patterns from data. Today, high-level languages and libraries like TensorFlow, PyTorch, or Keras make building neural networks trivial...

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