Mitosis

Training compute

1.4×10¹⁷ FLOP

Parameters

37.2K

Published

Sep 22, 2013

Mitosis is an AI model developed by IDSIA (Switzerland), first published in September 2013. It works in the vision and medicine domain, on tasks such as object detection.

Training it took an estimated 1.4×10¹⁷ FLOP of compute (estimation method: hardware). The model has 37,230 parameters. It was trained on roughly 1M datapoints.

The reference paper has 1,553 citations. Epoch AI rates the confidence of this record as likely.

Full record

Organization: IDSIA
Country of organization: Switzerland
Domain: Vision, Medicine
Task: Object detection
Training compute: 1.4×10¹⁷ FLOP
Compute estimation method: Hardware
Parameters: 37,230
Dataset size: 1M
Training time: 24 h
Citations: 1,553
Epoch confidence: Likely