Computers Made of Human Brain Tissue Identify Braille Letters In Breakthrough
Bristol researchers found human brain organoids can classify Braille letters, with three reaching 83 percent accuracy.
University of Bristol researchers reported that human brain organoids can classify Braille letters from electrical patterns derived from a tactile sensor. A single organoid of about 10,000 neurons reached about 61 percent accuracy, while three organoids together reached 83 percent. The Frontiers in Artificial Intelligence study was open-loop, so it does not show learning, and the authors noted poor reliability, reproducibility, and scalability versus conventional chips.
- One organoid of about 10,000 neurons classified Braille letters at roughly 61 percent accuracy.
- An ensemble of three organoids reached 83 percent accuracy.
- The open-loop setup did not show the organoids learned or permanently adapted.
From the original article
3 min read at 404media.co
Scientists discovered that human brain organoids, which are small neural clusters derived from stem cells, could identify the Braille alphabet with a high degree of accuracy.
By Becky Ferreira · 404media.co
A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.