⏰One month until the HILDA deadline! Got some fun ideas about LLMs and other cool stuff? Let's hear 'em!

SIGMOD/PODS 2024 Workshop on Human-In-the-Loop Data Analytics (HILDA) is coming to Santiago, Chile! This year we are also featuring HILDA and Large Language Models ( #LLMs ) theme.
Call for Papers: hilda.io/2024/.
Submissions deadline is April 7, 2024 AOE. #HILDA2024 #SIGMOD24

Excited to be a part of this incredibly diverse team! We're developing an open knowledge graph focusing on researchers, topics, and organizations to enhance research collaboration. Learn more about our project here: tinyurl.com/3nw48pm9.

Graduate students in Systems, Systems for ML, ML for Systems, Cloud Computing, Distributed Computing, etc are invited to apply for the ACM SoCC student travel grant opportunity that will fund your attendance. The deadline is Oct 2. acmsocc.org/2023/scholarsh…

Georgia Tech DB group SIGMOD/PODS 2024 In-person conferences are so much fun

The EECS Rising Stars 2023 Workshop is now accepting applications 🎉Check out eecsrisingstars2023.cc.gatech.edu for more details. Deadline is July 10th. Help spread the word!

It's the first day of school🎉Curious to try out this 'role-playing' style paper reading seminar for my new class this semester: colinraffel.com/blog/role-play…

This week we're excited to have Kexin Rong (@Stanford, VMware, and Georgia Tech Computing) on the MLSys Seminar. Kexin will talk about improving query performance on big-data analytics. Be there or be square!

Watch us live on YouTube this Thursday at 1:30 PT:
youtube.com/watch?v=sHmpMo…

Super excited to see our work ASAP used in Timescale!!

For those who are interested —

paper: arxiv.org/abs/1703.00983
code: github.com/stanford-futur…

I made it ☺️

Presenting our work on accelerating kernel evaluations in high dimensions via hashing techniques at ICML Conference today! Talk: 6/11 2:40-3pm @ Room 101 Poster: #225 6:30-9pm Paper: bit.ly/31njeoa Blog: stanford.io/2I76Ocm Code: git.io/fjgXb

Excited to see Edward Gan’s Moments Sketch for quantiles (VLDB 2018; blog.acolyer.org/2018/10/31/mom…) land in Apache Druid master: github.com/apache/incubat…

With the ⁦Stanford Engineering⁩ CS booth team @ #ghc2018 recruiting more great students to grad CS at Stanford!

New work by Kexin Rong and collaborators finds new earthquakes (512 in CA, 6K in NZ) in over a decade of continuous seismic data by scaling randomized hashing (LSH) to over 30 billion data points: dawn.cs.stanford.edu/2018/09/05/qua…

Nice post from Kexin Rong, Peter Bailis & co on discovering new earthquake patterns using optimized LSH: dawn.cs.stanford.edu/2018/09/05/qua…