This is quite the paper!
It gave 25 AI agents motivations & memory, and put them in a simulated town.
Not only did they engage in complex behavior (including throwing a Valentine’s Day party) but the actions were rated more human than humans roleplaying. https://t.co/G7oJW1S3na
🥳Today #BIFOLD welcomed the Governing Mayor of Berlin Franziska Giffey @RegBerlin, Senator Ulrike Gote @SenWGPG, Svenja Marx @BMBF_Bund, President of @TUBerlin Geraldine Rauch & CEO of @ChariteBerlin Heyo Kroemer @bbaw_de to celebrate permanent federal-state funding.
You can now watch the full keynote on @nebulastream presented by Prof. Volker Markl at the #BiDEDE workshop in Philadelphia in conjunction with @SIGMOD 2022.
https://t.co/hj7pm5eXJZ
We are happy to announce that our paper "Rethinking Stateful Stream Processing with RDMA" has been published and presented at @sigmod#SIGMOD22
Check out our paper to learn how to accelerate your stream processing workloads using RDMA: https://t.co/pJJ62A9MBS
According to @IMFNews, the world's governments are spending USD 11 million a minute to support fossil fuels which cause heat-trapping greenhouse gas emissions. #DontChooseExtinction, says @UNDP ahead of #COP26.
Dear @MoHFW_INDIA team, for your kind attention. Maybe we can increase the number of dosage per vial this way. @PMOIndia@ndtv@republic https://t.co/uxHxJQvidm
🏅BIFOLD Co-Director Prof. Dr. Volker Markl was named 2020 ACM Fellow for his contributions to query optimization, scalable data processing, and data programmability. ACM recognizes only 1% of members as Fellows for outstanding accomplishments in IT.
ℹ️🇩🇪: https://t.co/D40chbe12p
A Deep Reinforcement Learning framework, developed by BIFOLD Co-director Prof. Dr. Klaus-Robert Müller and his colleagues at the Korea University in Seoul, enabled the robot “Curly” 🤖🥌to beat top-level athletes in the Olympic sport of curling. 👉 https://t.co/HneEhf3MtD
The SIGMOD best paper co-winners for 2020 are "Pump Up the Volume: Processing Large Data on GPUs with Fast Interconnects" by Clemens Lutz, Sebastian Breß, Steffen Zeuch , Tilmann Rabl, Volker Markl and ...
Very interesting blog post of DIMA member Clemens Lutz on “Processing Large Data on GPUs with Fast Interconnects” based on his recent @SIGMOD2020 paper.