Vít Růžička (@previtus) profile picture

Postdoc @NASAJPL, previously @UniofOxford in Computer Sciences & ML, researcher and team lead at @FDL_AI, AI Artist at @UAL and analog photographer for fun.

Joined March 2011
Photo by Vít Růžička (@previtus)Photo by Vít Růžička (@previtus)Photo by Vít Růžička (@previtus)Photo by Vít Růžička (@previtus)Photo by Vít Růžička (@previtus)Photo by Vít Růžička (@previtus)Photo by Vít Růžička (@previtus)Photo by Vít Růžička (@previtus)Photo by Vít Růžička (@previtus)
Vít Růžička retweeted
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/
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Vít Růžička retweeted
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
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Český student během doktorského studia na Oxfordské univerzitě vymyslel, jak s pomocí umělé inteligence odhalovat úniky neviditelného metanu na satelitních snímcích. Více o tomto počinu v článku od @PavlaHub ZDE: wired.cz/clanky/na-stope-met…
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Lead researcher DPhil student Vít Růžička @previtus & Trillium Technologies @trillium_tech have developed a ML tool to automatically detect methane plumes from orbit which could be a powerful tool in combating the climate crisis. Read more: cs.ox.ac.uk/news/2218-full.h… #compscioxford
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A short film about AI made by a University of Oxford researcher is premiering today! Department of Computer Science DPhil student Vít Růžička said 'The story explores the uncertain future of Curiosity awakening to consciousness'. Read more: lnkd.in/drgJyHZF #compscioxford
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Can we put AI onboard a spacecraft to help now-cast space weather from a useful vantage point? Meet our Heliophysics Onboard team, who has been hard at work to find out. Join us on Friday, August 18th to see their results: eventbrite.com/e/fdl-europe-…
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Who is going to @igarss tomorrow? 📢 Shout out to all of our presenting teams. Their innovative work redefines Earth observation and remote sensing! #FDL #EarthObservation #RemoteSensing #Innovation
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Vít Růžička retweeted
Today at #neurips2022 !! fdl.ai/neurips2022#workshops… 🔥Disaster Response: Wildfire Multispectral Estimation of Fuel Loads 📃Unsupervised Wildfire Change Detection based on Contrastive Learning @previtus @KarolBotG @huiqi_wang56 @amani_abri @beichen14
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Vít Růžička retweeted
This survey is insane. All datasets classified per sensor, annotation, resolution, # samples The EO community's mastering of data curation is up there with bioinformatics (see @Bioconductor) earthnets.nicepage.io/Home.h…
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Vít Růžička retweeted
Can we use #ML-enhanced tools to prevent #fires from starting or new fires from combining to create #mega-fires? @ENERGY @Planet @googlecloud @usgs @SETIInstitute
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Vít Růžička retweeted
What can we do about the ever-relevant #wildfire issue? On August 12 our Wildfires team will #showcase LIVE how they intend using #ML tools for wildfire #forecasting. Join us! buff.ly/3vI0Zue @ENERGY @Planet @googlecloud @usgs @SETIInstitute #FDL2022 #AI #ClimateCrisis
If you are at #NeurIPS2021 #fdl applied AI research 🛰️ Smart satellites: machine learning on-board for low-latency novelty detection 🛰️ will be starting soon buff.ly/3s1Ffsk @FDL_AI #ML #AI @esa
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Vít Růžička retweeted
We’re proud to share applied AI research being presented at #NeurIPS2021 workshops next week. ☀️Learning the solar latent space: sigma-variational autoencoders for multiple channel solar imaging FDL US Solar Drag and more..full schedule here buff.ly/3xWA4ea @FDL_AI
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Vít Růžička retweeted
What connects generative #AI models with ecology, nature and conservation? Of course, the #aiart of the amazing @entangledothers studio. Join us live for the invited talk with @soficrespo91 and @entangledlight on Thursday, 4th Nov at 5pm (UK time): fb.me/e/NFgjgpHa
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New Colab notebook: CLIP Guided Diffusion HQ 512x512 Uncond colab.research.google.com/dr… This notebook contains my 8100 step fine-tune of the 512x512 class-conditional ImageNet model into an unconditional ImageNet model for better controllability with CLIP.
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Vít Růžička retweeted
Here's a link to my colab if you'd like to give it a go yourself. This codebase builds off of previous work from many people including @advadnoun @RiversHaveWings @NerdyRodent as well as ClipDraw from @kvfrans @crosslabstokyo @err_more and @okw. colab.research.google.com/gi…
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