AI on FPGA ā Generating an XOR Neural Network with LLMs
An FPGA, an AI model, and a simple logic problem ā sometimes, the best way to learn is by letting technology teach itself. I wanted to run a neural network (NN) on an FPGA, and ...
Writes about emerging technologies, machine learning, programming, other things, and š¤ programming languages.
"There's life on mars" -- Scooter
An FPGA, an AI model, and a simple logic problem ā sometimes, the best way to learn is by letting technology teach itself. I wanted to run a neural network (NN) on an FPGA, and ...
The tips of the hexagons in odd-numbered rows need to be perfectly centered between the hexagons in even-numbered rows. Bowlkeyboards recently shared a project on Twitch where h...
An NCU, or Neural Compute Unit, is a specialized processor designed to accelerate machine learning and AI tasks, often used in edge devices and embedded systems for efficient infe...
.. modify the LSTM memory structure, creating sLSTM with scalar memory and mLSTM with matrix memory, which integrate into xLSTM architectures. Yesterday, I attended an xLSTM mee...
How I used the GraphRAG paper to enhance structured product data for televisions. When looking at the GraphRAG paper, different approaches are presented to create a knowledge gr...
The ERC-20 introduces a standard for Fungible Tokens, in other words, they have a property that makes each Token be exactly the same (in type and value) of another Token. For exam...