We trained a chest X-ray TB model on a single RTX 3060. It topped Google's published result on one public benchmark and matched it on the other.
This story is from 2026-10-16. It is preserved in the archive; the latest stories are on the live feed.
We're Mn AI, a two-person startup in Bahrain. No cluster, no big team. Just one RTX 3060 (12 GB) on a desk. For comparison, Google's published model for this task was built by a Google Health research team on 248,445 X-rays. We tested ours on the two standard public TB benchmarks from the US Nation…
Read the full story at r/deeplearning ↗
Timeline · 1 report
- 2026-10-16 17:52 · r/deeplearning
We trained a chest X-ray TB model on a single RTX 3060. It topped Google's published result on one public benchmark and matched it on the other.
More stories
- Google Research details building blocks for autonomous wet labs — Google Research Blog
- AWS, Anthropic Deploy Specialized Engineers to Prove AI ROI — CNBC Technology
- Google Launches Universal Cart Shopping Tool in the US — TechCrunch AI
- Google DeepMind uses Antigravity to accelerate antimicrobial peptide search — Google DeepMind Blog
- Google launches Universal Cart shopping feature in U.S. — Google Gemini Blog
- Google Research outlines 10 ways AI amplifies human ingenuity in 2026 — Google Research Blog
- Argon 4 vs Opus 5.5 — r/GeminiAI
- Google Research introduces Earth AI geospatial agents — Google Research Blog
Get the daily brief of stories like this at 6:30 every morning →