Dr. Andrea Santamaria Garcia

@PilaRicoCastro @FECYT_Ciencia @craftoa_project @DelipaltaAlex @RDA_Europe @elli_lib @OSTrails @rich_ncps @EU_Commission @CienciaGob @druiziruela @pit_peschke @ansantam @KITKarlsruhe @AI4EOSC @AnnikaThies @eRImote_EU @habermann_k @canSERV_EU Jose Luis Martínez, coordinador de @ESFRI_eu, interviene antes del cierre institucional de la jornada #ISCIII sobre Infraestructuras Europeas de Investigación. Streaming ➡️ youtube.com/live/CDeW4XWMy…

This Q1 our team is really on the road teaching and giving machine learning tutorials all over! 👩🏻‍🏫 It was a pleasure to come back to the Deep Learning School organized by @ErUMDataHub and give an introduction course about neural networks

On February 5-7 2024 we hosted the 2nd Reinforcement Learning for Autonomous Accelerators in Salzburg 🎉 ! It was splendid to see how this community is growing, and I am delighted that we could provide some interesting content, including the tutorial on meta RL.

I think the paper is a great primer to started and has very interesting details on the advantages and challenges of applying it to accelerators. Have a look!

While this method is mostly known in machine learning to tune the parameters of other algorithms, it is extremely useful to directly tune the parameters of accelerators

We recently submitted a review paper on applying Bayesian optimization methods in particle accelerators!
arxiv.org/pdf/2312.05667…

Join us next year to learn about neural networks! I'll be teaching the introductory lecture :)

If you are interested in knowing more about machine learning applied to accelerators you can have a look at our new publication: fls2023.vrws.de/papers/th3d3.p…   This is just a teaser, review papers are coming 📖

We have a new postdoc position open to work with Prof. De Carne and me in the field of machine learning and energy efficiency for accelerators. Have a look! linkedin.com/jobs/view/3690…

@helmholtz_ai @HIDAdigital Kudos also to the team members for the great work (despite not regularly working with CNNs) @crkesu

It was really interesting to be exposed to the actual energy that training large models require, and we came back with a long list of strategies to reduce it 🤓 Big thanks to the organizers, we had a lot of fun (and learned a lot too)! @helmholtz_ai @HIDAdigital

The AI4Accelerators team of KIT participated in the AI Hero Hackathon 2023!! We joined the research field Energy, and the goal was to tune a Mask R-CNN model to identify thermal leaks from images of buildings in Karlsruhe

Our new paper on Bayesian optimization to improve the injection efficiency of a particle accelerator is out! Check it out journals.aps.org/prab/pdf/10.11… @crkesu

Special thanks to @crkesu and @jank324 for their hard work!!

We hosted it at @KITKarlsruhe at the Institute of Beam Physics and Technology, where a very nice community of reinforcement learning enthusiasts from all around the world met to showcase their work and discuss the present and future of the field

I am so grateful for all the people that came together at the 1st collaboration workshop on Reinforcement Learning for Autonomous Accelerators!

Some pics from the AI Hub Karlsruhe event! I loved discovering the huge potential of ML in other fields (such as healthcare, brilliant keynote by @AnalogAldo, food for thought!). It was also fun to discover that everyone loves Bayesian optimization, regardless of the field 🤓

If you are in the Karlsruhe region, interested on how AI is broadly used in science, and looking to meet people in the topic come join us at ai-hub-karlsruhe.github.io! @KITKarlsruhe