Vít Růžička @previtus
Postdoc @NASAJPL, previously @UniofOxford in Computer Sciences & ML, researcher and team lead at @FDL_AI, AI Artist at @UAL and analog photographer for fun. previtus.github.io Joined March 2011-
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Excited to share our new preprint on automatic detection of #methane leaks with ML and extensions of this system to other trace gases - NH3, NO2, and CO in #NASA's global EMIT imagery 🌍🤖 Try the Colab demo + access 348 newly detected point sources on: arxiv.org/abs/2605.03372
If you'd like to know more details about the research, there's a public pre-print of my last paper available at: arxiv.org/abs/2410.17248 (And soon the complete work will also be available in my PhD thesis)
Very happy to share with you all, that the video of the TED AI talk I gave last year about detection of methane leaks from space is live at: ted.com/talks/vit_ruzi… @TEDAIVienna #MethaneDetection #OnBoard #Satellites #AI #AIforGood
Join us this fall to hear more about what’s next in AI and climate solutions by speaker Vít Růžička @previtus !🌍💡 👉 tedai-vienna.ted.com
One killer teaser slide to show them all (courtesy of Cormac Purcell), more info at: trillium.tech/niospace
Cool find at #CVPR generating optical illusions with diffusion models - dangeng.github.io/visual_anagram… by @dangengdg
Like the old work by Karl Sims, but in reality and with frog cells. (What's crazy to me is that the simulation must be pretty accurate, so that whatever is created there also "works" with real cells) Paper from 2019 already here - pnas.org/doi/full/10.10…
Highlight from the 1st keynote at #CVPR by Joshua Bongard @DoctorJosh: Genetic algorithm for assembling heart and skin cells of real frogs to build robots out of biological materials. Crazy! First in simulation, then assembled in reality. With sensors and actuators.
@DoctorJosh Genetic algorithms rock! @DoctorJosh
Big thanks to @elluba for including this work to the gallery :)!
Currently at #CVPR presenting my experimental short film "One Sol in the Life of Curiosity" at the AI art gallery. Projecting in Arch, in the 4F area, Wed-Thu-Fri at 11am. Come check it out! More info about the piece: thecvf-art.com/project/one-so…
The @CVPR AI Art Gallery is now live 🤖🎨 Featuring 115+ artworks using or about computer vision😎 View them here: thecvf-art.com #AIart #CVPR2024
Very excited to share this amazing news, I have been invited to be a speaker at the upcoming TEDAI in Vienna this October! I will be talking about my research in #AI4ClimateChange topics, namely for automated detection of methane leaks in satellite data. #methane @TEDTalks
Curiosity is now recording short films observing day night cycle on Mars - space.com/nasa-curiosity… - it looks a bit like our generated short experimental film youtu.be/v5wSolf0ees where AI filled in what's between real samples
Looks a bit like our film animated from Curiosity photos! - youtu.be/v5wSolf0ees
Hey look – I’m a sundial! Ok, not exactly, but I did get a sol to enjoy my surroundings. During solar conjunction, I used my hazard cameras to study the Martian weather and dust. As this Earth year comes to an end, I hope you’ll take the time to soak in what’s around you.
Recruiting: We are hiring a Research Associate on Optimisation for Game Theory and Machine Learning. The successful candidate will complete academic research & manage administrative activities. For details & applications: my.corehr.com/pls/uoxrecruit… #compscioxford #oxfordrecruitment
AI detects #methane plumes from space, could be powerful tool in combating climate change @UniofOxford @SciReports doi.org/gs6gn2 phys.org/news/2023-11-a…
@SciReports 💾 With large, annotated and open-source Hyperspectral dataset and pre-trained models available at: github.com/spaceml-org/ST…
Semantic segmentation of methane plumes with hyperspectral machine learning models @previtus nature.com/articles/s4159…
This work was done at @UniofOxford in collaboration with @trillium_tech, with researchers from the @isp_uv_es group at @UV_EG, and @UPV, and with the support of @ESA PhiLab.
Finally, the data is open source and uploaded at: zenodo.org/records/7863343 Codebase to explore the data and to use our pretrained models is at: github.com/spaceml-org/ST… For more details follow the paper here: nature.com/articles/s4159…
What's new in the world of Methane Detection with ML? Interested in doing research with Hyperspectral instruments, but missing data🤔? Check out the news story released by @UniofOxford on our latest paper at: ox.ac.uk/news/2023-11-2… #Hyperspectral #MachineLearning for #methane
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