[OC] The cost of training AI on ImageNet has decreased from over $1000 to just under $5 in just 4 years
Submitted by giteam t3_114frna in dataisbeautiful
What drove the 2017 to 2018 cost reduction?
> Progress in AI is being driven by availability of large volume of structured data, algorithmic innovations,and compute capabilities. For example, the time to train object detection task like ImageNet to over 90% accuracy has reduced from over 10 hours to few seconds, and the cost declined fromover $2,000 to substantially less than $10 within the span of the last three years Perrault et al.(2019)
Could the rise in open source computing power also be a factor?
What is that open source computing power you speak of?
You can donate your idle CPU time to do research if you want
You install a program and it when your CPU/GPU usage is low it’ll do calculations for that organisation
https://en.m.wikipedia.org/wiki/List_of_volunteer_computing_projects
Though he is likely on about Cloud Computing and got the name wrong
I used Folding@Home before AI took over! :>
I have a theory that modern games are doing this.
Think he means cloud based computing power?
As in rather have 1 PC here and one pc there doing the work individually, linking them up and sharing the load
I changed my mind, and I will guess mobileNetV2.
The most obvious thing to me is the introduction of Nvidia's RTX series cards.
Deep learning techniques improved dramatically in 2017. TPUs were also first introduced in 2016, and it typically takes about 4 years for data centers to completely migrate.
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