Go Caltech.LHC++ !

Excellent opportunity to discuss and get access to new technologies

I am glad the main messages@got through.

Oh my! @xmpierinix I have been fighting for months with those moronic and disrespectful people of Assistance Freebox

Highly recommended opportunity!

Join indico.cern.ch/event/882992/ @cern TensorFlow ! Nothing will get done this morning, but later will be.

Due to #COVID19 social distancing, sending this over secured VPN : Stay safe people !

How should we leverage symmetries in point cloud tasks while maintaining detail? We propose combining the powerful concepts of self-attention and equivariance. Delighted to share the 🔥SE3-Transformer🔥 with @deworrall92, Volker Fischer & Max Welling arxiv.org/pdf/2006.10503…

The #USA made the right choice for Joe Biden . I had limited stake in the #USAelection2020 , but it pleases me that a world leader that lies is out ; restoring a little faith in humanity.

💡Jennifer Ngadiuba: “Artificial intelligence or more specifically deep learning, offers promising aid in expanding our physics program” Watch the launch event of #CERNSparks!: youtube.com/watch?v=j7DqIk…

RT:

kudos to @JoosepPata !

Exciting !

Higgs-boson pairs could help scientists understand the stability of our universe. The trick is finding them: symmetrymagazine.org/article/search…

Get to learn how to use CMS Experiment CERN #OpenData !

HEP publications in Frontiers in AI & Big Data getting citations at #LHCP2021 ! Keep it coming folks ! Check out our research topics frontiersin.org/journals/all/s…

This is a big deal… awesome work from the team!!

NOW >15K DOWNLOADS!🥳'Graph #neuralnetworks in #particlephysics' by jean-roch Peter Battaglia and Jonathan Shlomi Weizmann Institute Caltech @DeepMind bit.ly/3bmxt3R #machinelearning #HEP #deeplearning #LHC #standardmodel #HPC #bigdata #AI #graphs #openscience #Higgs

Sequel to a previous such review with Peter Battaglia "GNN at the LHC" now online doi.org/10.1038/s42254… at Nature Reviews Physics. Shout out to Gage DeZoort and CatherineBiscarat for all the work !

Check out our review of graph neural networks at the LHC! Complete with intros to both LHC physics and GNN methods to engage both audiences :)