From 2e576d135be9e0746f7843c0825d0940129e7595 Mon Sep 17 00:00:00 2001 From: Mosharaf Chowdhury Date: Thu, 7 Nov 2024 22:50:07 -0500 Subject: [PATCH] Fan receives Ritchie Award Honorable Mention (#285) --- source/_data/SymbioticLab.bib | 1 + source/_posts/Fan-Ritchie-Award.md | 7 +++++++ 2 files changed, 8 insertions(+) create mode 100644 source/_posts/Fan-Ritchie-Award.md diff --git a/source/_data/SymbioticLab.bib b/source/_data/SymbioticLab.bib index 5cf6730b..30d13d84 100644 --- a/source/_data/SymbioticLab.bib +++ b/source/_data/SymbioticLab.bib @@ -1151,6 +1151,7 @@ @PhDThesis{fanlai:dissertation Month = {August}, publist_confkey = {dissertation}, + publist_badge = {Dennis M. Ritchie Award Honorable Mention}, publist_link = {paper || fanlai-dissertation.pdf}, Abstract = {Skyrocketing data volumes, growing hardware capabilities, and the revolution in machine learning (ML) theory have collectively driven the latest leap forward in ML. Despite our hope to realize the next leap with new hardware and a broader range of data, ML development is reaching scaling limits in both realms. First, the exponential surge in ML workload volumes and their complexity far outstrip hardware improvements, leading to hardware resource demands surpassing the sustainable growth of capacity. Second, the mounting volumes of edge data, increasing awareness of user privacy, and tightening government regulations render conventional ML practices, which centralize all data into the cloud, increasingly unsustainable due to escalating costs and scrutiny. diff --git a/source/_posts/Fan-Ritchie-Award.md b/source/_posts/Fan-Ritchie-Award.md new file mode 100644 index 00000000..4b19698b --- /dev/null +++ b/source/_posts/Fan-Ritchie-Award.md @@ -0,0 +1,7 @@ +--- +title: Fan Lai Receives a Dennis M. Ritchie Award Honorable Mention. Congrats Fan! +categories: + - News +date: 2024-11-07 21:23:22 +tags: +---