~/talk

PowerAI Vision & Other Solutions on an AI Box

links:none on file
name:Adith SV
links:none on file
slides:none on file

A low‑cost AI box is built from a 4‑core IBM Power9 CPU, 32 GB ECC RAM and an NVIDIA GeForce RTX 2070, costing about ~$3k build cost. Using PowerAI Vision it trains an MNIST model of 60,000 images, 15–20 minutes for a deployable image‑classification API; swapping to a different motherboard cuts training time by roughly 65%. Demos include automated attendance, PPE detection, retinal/CT screening; issues reported are occasional high‑confidence misclassifications and UI/coding friction.

AI-written summary · about

  1. 0:00Introduction and team
  2. 1:25PowerAI Vision and AI Box
  3. 3:37MNIST handwriting demo
  4. 5:05PowerAI Vision tool walkthrough
  5. 9:22Performance comparison and applications
  6. 12:40Healthcare and industrial safety uses
  7. 14:06Attendance with facial recognition
  8. 15:33Future plans and collaborations
  9. 16:55Q&A session
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