From 9cc737271820f8cb26485de0f4c1c31b975a9903 Mon Sep 17 00:00:00 2001 From: Cannon Lock <49032265+CannonLock@users.noreply.github.com> Date: Wed, 2 Mar 2022 13:56:58 -0600 Subject: [PATCH 001/386] Update 2022-02-22-ML-and-Image-Analyses-for-Livestock-Data.md --- 2022-02-22-ML-and-Image-Analyses-for-Livestock-Data.md | 5 ++--- 1 file changed, 2 insertions(+), 3 deletions(-) diff --git a/2022-02-22-ML-and-Image-Analyses-for-Livestock-Data.md b/2022-02-22-ML-and-Image-Analyses-for-Livestock-Data.md index cb7162ee..dc6cd788 100644 --- a/2022-02-22-ML-and-Image-Analyses-for-Livestock-Data.md +++ b/2022-02-22-ML-and-Image-Analyses-for-Livestock-Data.md @@ -4,9 +4,8 @@ canonical_url: https://htcondor.org/featured-users/2022-02-22-ML-and-Image-Analy image: path: https://raw.githubusercontent.com/CHTC/Articles/main/images/cow-ml-image-cropped.jpg alt: Cows Feeding with machine Learning overlay -description: In this presentation from HTCondor Week 2021, Joao Dorea from the -Digital Livestock Lab explains how high-throughput computing is used in the field of animal and dairy sciences. -excerpt: Collaborating with CHTC research computing facilitation staff, UW-Madison researcher Gaylen Fronk is using HTC to improve cigarette cessation treatments by accounting for the complex differences among patients. +description: In this presentation from HTCondor Week 2021, Joao Dorea from the Digital Livestock Lab explains how high-throughput computing is used in the field of animal and dairy sciences. +excerpt: In this presentation from HTCondor Week 2021, Joao Dorea from the Digital Livestock Lab explains how high-throughput computing is used in the field of animal and dairy sciences. card_src: https://raw.githubusercontent.com/CHTC/Articles/main/images/cow-ml-image-cropped.jpg card_alt: Cows Feeding with ML overlay banner_src: https://raw.githubusercontent.com/CHTC/Articles/main/images/cow-ml-image-cropped-banner.jpg From 5b6bb0845013b3c82e0741ec5a7bdf433fc74f22 Mon Sep 17 00:00:00 2001 From: Cannon Lock Date: Mon, 7 Mar 2022 15:04:50 -0600 Subject: [PATCH 002/386] Typo --- 2022-02-22-ML-and-Image-Analyses-for-Livestock-Data.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/2022-02-22-ML-and-Image-Analyses-for-Livestock-Data.md b/2022-02-22-ML-and-Image-Analyses-for-Livestock-Data.md index cb7162ee..23109026 100644 --- a/2022-02-22-ML-and-Image-Analyses-for-Livestock-Data.md +++ b/2022-02-22-ML-and-Image-Analyses-for-Livestock-Data.md @@ -33,7 +33,7 @@ with the sheer size of data that is collected. Processing and storing tens of thousands of images of cows requires significant computational resources. -By utilizing HTCondor through a collaboration with the [Center for Highthroughput Computing](https://chtc.cs.wisc.edu/), the Digital +By utilizing HTCondor through a collaboration with the [Center for High Throughput Computing](https://chtc.cs.wisc.edu/), the Digital Livestock Lab has been able to focus their time and money on the livestock. Specialized to handle computational work that can be split into many pieces and run in parallel, image analysis aligns well with the ideal HTCSS workload. 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