Tag: blockchain

EEUMEE (AI-Block share)

Posted on by lechuck park

The diagram illustrates a blockchain-based AI service system where:

  • At the center is a blockchain network (represented by an interconnected cube structure in a blue square) labeled “All transaction in a Block-chain”
  • Connected to this central blockchain are several components:
    • On the left: A personal AI agent connected to a person with a shopping cart
    • On the top right: A personal AI agent connected to what appears to be a chef or cook
    • On the bottom right: A personal AI agent connected to what looks like a farmer or gardener
    • At the bottom: A money/payment symbol (showing a coin with a dollar sign)

The arrows indicate connections or transactions between these components through the blockchain.

This appears to be illustrating a system where personal AI agents serve different user types (shoppers, cooks, farmers) with their transactions recorded on a blockchain.

With Claude

GPU works for

Posted on by lechuck park

From ChatGPT with some prompting
The image is a schematic representation of GPU applications across three domains, emphasizing the GPU’s strength in parallel processing:

Image Processing: GPUs are employed to perform parallel updates on image data, which is often in matrix form, according to graphical instructions, enabling rapid rendering and display of images.

Blockchain Processing: For blockchain, GPUs accelerate the calculation of new transaction hashes and the summing of existing block hashes. This is crucial in the race of mining, where the goal is to compute new block hashes as efficiently as possible.

Deep Learning Processing: In deep learning, GPUs are used for their ability to process multidimensional data, like tensors, in parallel. This speeds up the complex computations required for neural network training and inference.

A common thread across these applications is the GPU’s ability to handle multidimensional data structures—matrices and tensors—in parallel, significantly speeding up computations compared to sequential processing. This parallelism is what makes GPUs highly effective for a wide range of computationally intensive tasks.