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IndiScaleDo you have a recommendation for a <a href="https://mastodon.social/tags/CloudComputing" class="mention hashtag" rel="nofollow noopener" target="_blank">#CloudComputing</a> provider (with <a href="https://mastodon.social/tags/GPU" class="mention hashtag" rel="nofollow noopener" target="_blank">#GPU</a>, suitable for training <a href="https://mastodon.social/tags/deepNeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#deepNeuralNetworks</a>)? We are looking for options with a maximum of: - <a href="https://mastodon.social/tags/GreenIT" class="mention hashtag" rel="nofollow noopener" target="_blank">#GreenIT</a>, low CO2 footprint, <a href="https://mastodon.social/tags/sustainability" class="mention hashtag" rel="nofollow noopener" target="_blank">#sustainability</a> - <a href="https://mastodon.social/tags/DataPrivacy" class="mention hashtag" rel="nofollow noopener" target="_blank">#DataPrivacy</a><a href="https://mastodon.social/tags/followerpower" class="mention hashtag" rel="nofollow noopener" target="_blank">#followerpower</a>

Crypto NewsSingularityNET to invest $53M in AI infrastructure, modular supercomputer - The investment includes modular data centers and high-performance AI inf... - <a href="https://cointelegraph.com/news/singularitynet-invest-53-million-ai-infrastructure-modular-supercomputer" rel="nofollow noopener" translate="no" target="_blank">https://cointelegraph.com/news/singularitynet-invest-53-million-ai-infrastructure-modular-supercomputer</a> <a href="https://schleuss.online/tags/high" class="mention hashtag" rel="nofollow noopener" target="_blank">#high</a>-performancecomputing <a href="https://schleuss.online/tags/singularitynetinvestment" class="mention hashtag" rel="nofollow noopener" target="_blank">#singularitynetinvestment</a> <a href="https://schleuss.online/tags/modularsupercomputer" class="mention hashtag" rel="nofollow noopener" target="_blank">#modularsupercomputer</a> <a href="https://schleuss.online/tags/largelanguagemodels" class="mention hashtag" rel="nofollow noopener" target="_blank">#largelanguagemodels</a> <a href="https://schleuss.online/tags/deepneuralnetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#deepneuralnetworks</a> <a href="https://schleuss.online/tags/aiinfrastructure" class="mention hashtag" rel="nofollow noopener" target="_blank">#aiinfrastructure</a> <a href="https://schleuss.online/tags/agidevelopment" class="mention hashtag" rel="nofollow noopener" target="_blank">#agidevelopment</a> <a href="https://schleuss.online/tags/amdprocessors" class="mention hashtag" rel="nofollow noopener" target="_blank">#amdprocessors</a> <a href="https://schleuss.online/tags/nvidiagpus" class="mention hashtag" rel="nofollow noopener" target="_blank">#nvidiagpus</a> <a href="https://schleuss.online/tags/aiservers" class="mention hashtag" rel="nofollow noopener" target="_blank">#aiservers</a>

Fabrizio MusacchioWith the success of <a href="https://sigmoid.social/tags/DeepNeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#DeepNeuralNetworks</a> in building <a href="https://sigmoid.social/tags/AI" class="mention hashtag" rel="nofollow noopener" target="_blank">#AI</a> systems, one might wonder if <a href="https://sigmoid.social/tags/Bayesian" class="mention hashtag" rel="nofollow noopener" target="_blank">#Bayesian</a> models are no longer significant. New paper by Thomas Griffiths and colleagues argues the opposite: these approaches complement each other, creating new opportunities to use <a href="https://sigmoid.social/tags/Bayes" class="mention hashtag" rel="nofollow noopener" target="_blank">#Bayes</a> to understand intelligent machines 🤖📔 "Bayes in the age of intelligent machines", Griffiths et al. (2023) 🌍 <a href="https://arxiv.org/abs/2311.10206" rel="nofollow noopener" translate="no" target="_blank">https://arxiv.org/abs/2311.10206</a><a href="https://sigmoid.social/tags/DNN" class="mention hashtag" rel="nofollow noopener" target="_blank">#DNN</a> <a href="https://sigmoid.social/tags/NeuronalNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#NeuronalNetworks</a>

dschulten #FdgoUltras🕯️Noch verstehen wir das Bewusstsein nicht.<a href="https://www.derstandard.de/story/3000000176998/ein-philosoph-und-ein-neurologe-wetteten-um-die-natur-des-bewusstseins" target="_blank" rel="nofollow noopener" translate="no">https://www.derstandard.de/story/3000000176998/ein-philosoph-und-ein-neurologe-wetteten-um-die-natur-des-bewusstseins</a><a href="https://mastodontech.de/tags/ki" class="mention hashtag" rel="tag">#ki</a> <a href="https://mastodontech.de/tags/ai" class="mention hashtag" rel="tag">#ai</a> <a href="https://mastodontech.de/tags/StrongAi" class="mention hashtag" rel="tag">#StrongAi</a> <a href="https://mastodontech.de/tags/DeepNeuralNetworks" class="mention hashtag" rel="tag">#DeepNeuralNetworks</a>

Icelandic Vision LabWow. In 24 hours, we have gone from zero to 4.4K followers, that‘s crazy. Thank you for a warm welcome and excellent tips. I gave up on replying to all of you after someone pointed out that I was spamming thousands of people – sorry! Also, please do not read too much into it if we do not respond or take a long time responding, we are a busy bunch and may simply sometimes miss your post or messages. Mastodon allows long posts so I am taking advantage of that, so here are a few things that you may – or may not – want to know.—Who are we?—Research in the Icelandic Vision Lab (<a href="https://visionlab.is" rel="nofollow noopener" target="_blank">https://visionlab.is</a>) focuses on all things visual, with a major emphasis on higher-level or “cognitive” aspects of visual perception. It is co-run by five Principal Investigators: Árni Gunnar Ásgeirsson, Sabrina Hansmann-Roth, Árni Kristjánsson, Inga María Ólafsdóttir, and Heida Maria Sigurdardottir. Here on Mastodon, you will most likely be interacting with me – Heida – but other PIs and potentially other lab members (<a href="https://visionlab.is/people" rel="nofollow noopener" target="_blank">https://visionlab.is/people</a>) may occasionally also post here as this is a joint account. If our posts are stupid and/or annoying, I will however almost surely be responsible!—What do we do?—Current and/or past research at IVL has looked at several visual processes, including <a href="https://neuromatch.social/tags/VisualAttention" class="mention hashtag" rel="nofollow noopener" target="_blank">#VisualAttention</a> , <a href="https://neuromatch.social/tags/EyeMovements" class="mention hashtag" rel="nofollow noopener" target="_blank">#EyeMovements</a> , <a href="https://neuromatch.social/tags/ObjectPerception" class="mention hashtag" rel="nofollow noopener" target="_blank">#ObjectPerception</a> , <a href="https://neuromatch.social/tags/FacePerception" class="mention hashtag" rel="nofollow noopener" target="_blank">#FacePerception</a> , <a href="https://neuromatch.social/tags/VisualMemory" class="mention hashtag" rel="nofollow noopener" target="_blank">#VisualMemory</a> , <a href="https://neuromatch.social/tags/VisualStatistics" class="mention hashtag" rel="nofollow noopener" target="_blank">#VisualStatistics</a> , and the role of <a href="https://neuromatch.social/tags/Experience" class="mention hashtag" rel="nofollow noopener" target="_blank">#Experience</a> / <a href="https://neuromatch.social/tags/Learning" class="mention hashtag" rel="nofollow noopener" target="_blank">#Learning</a> effects in <a href="https://neuromatch.social/tags/VisualPerception" class="mention hashtag" rel="nofollow noopener" target="_blank">#VisualPerception</a> . Some of our work concerns the basic properties of the workings of the typical adult <a href="https://neuromatch.social/tags/VisualSystem" class="mention hashtag" rel="nofollow noopener" target="_blank">#VisualSystem</a> . We have also studied the perceptual capabilities of several unique populations, including children, synesthetes, professional athletes, people with anxiety disorders, blind people, and dyslexic readers. We focus on <a href="https://neuromatch.social/tags/BehavioralMethods" class="mention hashtag" rel="nofollow noopener" target="_blank">#BehavioralMethods</a> but also make use of other techniques including <a href="https://neuromatch.social/tags/Electrophysiology" class="mention hashtag" rel="nofollow noopener" target="_blank">#Electrophysiology</a> , <a href="https://neuromatch.social/tags/EyeTracking" class="mention hashtag" rel="nofollow noopener" target="_blank">#EyeTracking</a> , and <a href="https://neuromatch.social/tags/DeepNeuralNetworks" class="mention hashtag" rel="nofollow noopener" target="_blank">#DeepNeuralNetworks</a>—Why are we here?—We are mostly here to interact with other researchers in our field, including graduate students, postdoctoral researchers, and principal investigators. This means that our activity on Mastodon may sometimes be quite niche. This can include boosting posts from others on research papers, conferences, or work opportunities in specialized fields, partaking in discussions on debates in our field, data analysis, or the scientific review process. Science communication and outreach are hugely important, but this account is not about that as such. So we take no offence if that means that you will unfollow us, that is perfectly alright :)—But will there still sometimes be stupid memes as promised?—Yes. They may or may not be funny, but they will be stupid.<a href="https://neuromatch.social/tags/VisionScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#VisionScience</a> <a href="https://neuromatch.social/tags/CognitivePsychology" class="mention hashtag" rel="nofollow noopener" target="_blank">#CognitivePsychology</a> <a href="https://neuromatch.social/tags/CognitiveScience" class="mention hashtag" rel="nofollow noopener" target="_blank">#CognitiveScience</a> <a href="https://neuromatch.social/tags/CognitiveNeuroscience" class="mention hashtag" rel="nofollow noopener" target="_blank">#CognitiveNeuroscience</a> <a href="https://neuromatch.social/tags/StupidMemes" class="mention hashtag" rel="nofollow noopener" target="_blank">#StupidMemes</a>

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