Mastouille

0 message0 participant0 message aujourd’hui

µPToday, the copies of the second edition of the first volume of the textbook series "Media Technology Knowledge" that I edited have finally been delivered:<a href="https://www.degruyterbrill.com/document/doi/10.1515/9783111036540/html" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.degruyterbrill.com/document/doi/10.1515/9783111036540/html</a><a href="https://mastodon.social/tags/MediaArchaeology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MediaArchaeology</a> <a href="https://mastodon.social/tags/Logic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Logic</a> <a href="https://mastodon.social/tags/Archaeology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Archaeology</a> <a href="https://mastodon.social/tags/InformationTheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#InformationTheory</a> <a href="https://mastodon.social/tags/Memory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Memory</a>

j_bertolotti<a href="https://mathstodon.xyz/tags/PhysicsJournalClub" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PhysicsJournalClub</a> "Model-free estimation of the Cramér–Rao bound for deep learning microscopy in complex media" by I. Starshynov et al.Nat. Photon. (2025) <a href="https://doi.org/10.1038/s41566-025-01657-6" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://doi.org/10.1038/s41566-025-01657-6</a>As everybody who ever tried to orient themselves while immersed in thick fog knows, scattering scrambles information. The question "how much information is still there?" is not particularly interesting as the answer is "essentially all of it", as elastic scattering can't destroy information. A much more interesting question is "how much information can we retrieve?" In order to even try to give an answer we need to be a bit more specific, so the authors placed a small reflective surface behind a scattering layer and asked how much information about its transverse position could be retrieved. This is a well-posed question, and the answer takes the form of a "Cramér–Rao bound" (<a href="https://en.wikipedia.org/wiki/Cram%C3%A9r%E2%80%93Rao_bound" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://en.wikipedia.org/wiki/Cram%C3%A9r%E2%80%93Rao_bound</a>). After estimating this upper bound, the authors investigate how well a trained neural network can do at this task, and show that a specifically built convolutional neural network can almost reach the theoretical bound.[Conflict of interest: Ilya Starshynov (the first author) did his PhD in my group.]<a href="https://mathstodon.xyz/tags/Physics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Physics</a> <a href="https://mathstodon.xyz/tags/InformationTheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#InformationTheory</a> <a href="https://mathstodon.xyz/tags/Optics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Optics</a> <a href="https://mathstodon.xyz/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MachineLearning</a>

Harald SackNext step in our NLP timeline is Claude Elwood Shannon, who already laid the foundations for statistical language modeling by recognising the relevance of n-grams to model properties of language and predicting the likelihood of word sequences.C.E. Shannon ""A Mathematical Theory of Communication" (1948) <a href="https://web.archive.org/web/19980715013250/http://cm.bell-labs.com/cm/ms/what/shannonday/shannon1948.pdf" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://web.archive.org/web/19980715013250/http://cm.bell-labs.com/cm/ms/what/shannonday/shannon1948.pdf</a><a href="https://sigmoid.social/tags/ise2025" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ise2025</a> <a href="https://sigmoid.social/tags/nlp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#nlp</a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#lecture</a> <a href="https://sigmoid.social/tags/languagemodel" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#languagemodel</a> <a href="https://sigmoid.social/tags/informationtheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#informationtheory</a> <a href="https://sigmoid.social/tags/historyofscience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#historyofscience</a> <a href="https://sigmoid.social/@enorouzi" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@enorouzi</a> <a href="https://fedihum.org/@tabea" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@tabea</a> <a href="https://fedihum.org/@sourisnumerique" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@sourisnumerique</a> <a href="https://wisskomm.social/@fiz_karlsruhe" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@fiz_karlsruhe</a> <a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@fizise</a>

Tom Le Goc :debian: :bzh:Je ne sais pas si ça compte en tant que <a href="https://toot.community/tags/VendrediLecture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#VendrediLecture</a>, mais très bon livre en/de cours : "Information Theory, Inference, and Learning Algorithms" David J.C. MacKay<a href="https://www.inference.org.uk/mackay/itila/book.html" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.inference.org.uk/mackay/itila/book.html</a><a href="https://toot.community/tags/IA" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#IA</a> <a href="https://toot.community/tags/InformationTheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#InformationTheory</a>

jbz🤔 Is our universe trapped inside a black hole? —<a href="https://flipboard.com/@Spacecom" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@Spacecom</a>｢ each and every black hole in our universe could be the doorway to another "baby universe." These universes would be unobservable to us because they are also behind an event horizon, a one-way light-trapping point of no return from which light cannot escape, meaning information can never travel from the interior of a black hole to an external observer ｣<a href="https://www.space.com/space-exploration/james-webb-space-telescope/is-our-universe-trapped-inside-a-black-hole-this-james-webb-space-telescope-discovery-might-blow-your-mind" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.space.com/space-exploration/james-webb-space-telescope/is-our-universe-trapped-inside-a-black-hole-this-james-webb-space-telescope-discovery-might-blow-your-mind</a><a href="https://indieweb.social/tags/blackhole" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#blackhole</a> <a href="https://indieweb.social/tags/space" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#space</a> <a href="https://indieweb.social/tags/informationtheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#informationtheory</a> <a href="https://indieweb.social/tags/cosmology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#cosmology</a>

SelfAwarePatternsWhat is the relationship between information, causation, and entropy?The other day, I was reading a post from Corey S. Powell <a href="https://invisibleuniverse.substack.com/p/you-are-a-ripple-of-information" rel="nofollow noopener noreferrer" target="_blank">on how we are all ripples of information</a>. I found it interesting because it resonated with my own understanding of information (i.e. it flattered my biases). We both seem to see information as something active rather than passive. In my case I see it fundamentally related to causation itself, more specifically a snapshot of causal processing. Powell notes that Seth Lloyd has an excellent book on this topic, so I looked it up.Lloyd’s 2006 book is called <a href="https://www.amazon.com/Programming-Universe-Quantum-Computer-Scientist-ebook/dp/B000GCFBP6/" rel="nofollow noopener noreferrer" target="_blank">Programming the Universe</a>, which by itself gives you an idea of his views. He sees the entire universe as a giant computer, specifically a quantum computer, and much of the book is about making a case for it. It’s similar to the “it from qubit” stance David Chalmers explores in his book Reality+. (I did <a href="https://selfawarepatterns.com/tag/chalmers-reality/" rel="nofollow noopener noreferrer" target="_blank">a series of posts on Chalmers’ book</a> a while back.)One of the problems with saying the universe is a computer is it invites an endless metaphysical debate, along with narrow conceptions of “computer” leading people to ask things like what kind of hardware the universe might be running on. I’ve come to think a better strategy is to talk about the nature of computation itself. Then we can compare and contrast that nature with the universe’s overall nature, at least to the extent we understand it.Along those lines, Chalmers argues that computers are causation machines. I think it helps to clarify that we’re talking about logical processing, which is broader than just calculation. I see logical processing as distilled causation, specifically a high degree of causal differentiation (information) at the lowest energy levels currently achievable, in other words, a high information to energy ratio.The energy point is important, because high causal differentiation tends to be expensive in terms of energy. (Data centers are becoming a major source of energy consumption in the developed world, and although the brain is far more efficient, it’s still the most expensive organ in the body, at least for humans.)Which is why computational systems always have input/output interfaces that reduce the energy levels of incoming effects from the environment to the levels of their internal processing, and amplify the energy of outgoing effects. (Think keyboards and screens for traditional PCs, or sense organs and muscles for nervous systems.)Of course, there’s no bright line, no sharp threshold in the information / energy ratio where a system is suddenly doing computation. As <a href="https://www.quantamagazine.org/computation-is-all-around-us-and-you-can-see-it-if-you-try-20240612/?mc_cid=7fb4d2145a" rel="nofollow noopener noreferrer" target="_blank">a recent Quanta piece pointed out</a>, computation is everywhere. But for most things, like stars, the magnitude of their energy level plays a much larger role in the causal effects on the environment than their differentiation. However, people like Lloyd or Chalmers would likely point out that the energy magnitude is itself a number, a piece of information, one that has computational effects on other systems. In a simulation of that system, the simulation wouldn’t have the same causal effects on other physical systems as the original, but it would within the environment of the simulation. (Simulated wetness isn’t wet, except for entities in the simulation.)Anyway, the thing that really caught my eye with Lloyd was his description of entropy. I’ve covered before <a href="https://selfawarepatterns.com/2021/10/24/reconciling-the-disorder-definition-of-entropy/" rel="nofollow noopener noreferrer" target="_blank">my struggles with the customary description of entropy as the amount of disorder in a system</a>. Disorder according to who? As usually described, it leaves the question of how much entropy a particular system has as observer dependent, which seems problematic for a fundamental physics concept. My reconciliation of this is to think of entropy as disorder for transformation, or in engineering terms: for work.Another struggle has been the relationship between entropy and information. I’ve long wanted to say that entropy and information are closely related, if not the same thing. That seems like the lesson from <a href="https://en.wikipedia.org/wiki/Entropy_(information_theory)" rel="nofollow noopener noreferrer" target="_blank">Claude Shannon’s theory of information</a>, which uses an equation similar to Ludwig Boltzmann’s for entropy. Entropy is a measure of the complexity in a system, and higher values result in a system’s energy gradients being fragmented, making much of the energy in the system unavailable for transformation (work), at least without adding additional energy into the system.However, people like Sean Carroll often argue that a high entropy state is one of low information. Although Carroll does frequently note that there are several conceptions of “information” out there. His response makes sense for what is often called “semantic information”, that is information whose meaning is known and useful to some kind of agent. The equivalence seems more for “physical information”, the broader concept of information as generally used in physics (and causes hand wringing due to the possibility of black holes losing it).Lloyd seems to be on the same page. He sees entropy as information, although he stipulates that it’s hidden information, or unavailable information (similar to how energy is present but unavailable). But this again seems to result in entropy being observer dependent. If the information is available to you but not me, does that mean the system has higher entropy for me than it does for you? If so, then computers are high entropy systems since none of us have access to most of the current information in the device you’re using right now.My reconciliation here is to include the observer as part of the accounting. So if a system is in a highly complex state, one you understand but I don’t, then the entropy for the you + system under consideration is lower than the entropy for the me + system combo. In other words, your knowledge, the correlations between you and the system, makes the combined you + system more ordered for transformation than the me + system combo. At least that’s my current conclusion.But that means for any particular system considered in isolation, the level of entropy is basically the amount of complexity, of physical information it contains. That implies that the ratio I was talking about above, of information to energy, is also of entropy to energy. And another way to refer to these computational systems, in addition to information processing systems, is as entropy processing systems, or entropy transformers.This might seem powerfully counter intuitive because we’re taught to think of entropy as bad. Computational systems seem to be about harnessing their entropy, their complexity, and making use of it. And we have to remember that these aren’t closed systems. As noted above, they’re systems that require a lot of inbound energy. It’s that supply of energy that enables transformation of their highly entropic states. (It’s worth noting that these systems also produce a lot of additional entropy that requires energy to be removed, such as waste heat or metabolic waste.)So computers are causation machines and entropy transformers. Which kind of sounds like the universe, but maybe in a very concentrated form. Viewing it this way keeps us more aware of the causal relations not yet captured by current conventional computers. And the energy requirements remind us that computation may be everywhere, but the useful versions only seem to come about from extensive evolution or engineering. As Chalmers notes in his book, highly computational systems don’t come cheap.What do you think? Are there differences between physical information and entropy that I’m overlooking? And how would you characterize the nature of computation? Does a star, rock, or hurricane compute in any meaningful sense? What about a unicellular organism?<a href="https://en.wikipedia.org/wiki/File:Entropy_flip_2_coins.jpg" rel="nofollow noopener noreferrer" target="_blank">Featured image credit</a><a href="https://selfawarepatterns.com/2024/07/28/entropy-transformers/" class="" rel="nofollow noopener noreferrer" target="_blank">https://selfawarepatterns.com/2024/07/28/entropy-transformers/</a><a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://selfawarepatterns.com/tag/causality/" target="_blank">#Causality</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://selfawarepatterns.com/tag/computation/" target="_blank">#Computation</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://selfawarepatterns.com/tag/entropy/" target="_blank">#Entropy</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://selfawarepatterns.com/tag/information-theory/" target="_blank">#informationTheory</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://selfawarepatterns.com/tag/philosophy/" target="_blank">#Philosophy</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://selfawarepatterns.com/tag/physics/" target="_blank">#Physics</a> <a rel="nofollow noopener noreferrer" class="hashtag u-tag u-category" href="https://selfawarepatterns.com/tag/science/" target="_blank">#Science</a>

:mastodon: Mike AmundsenMaxwell's Demon, Szilard Engine and Landauer Principle<a href="https://arxiv.org/abs/1904.05256" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://arxiv.org/abs/1904.05256</a>"Here we will present an overview of these three major works that laid the foundations of information thermodynamics." -- <a href="https://mastodon.social/tags/P_S_Pal" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#P_S_Pal</a> A_M_Jayannavar<a href="https://mastodon.social/tags/theMind" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#theMind</a> <a href="https://mastodon.social/tags/informationTheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#informationTheory</a>

Neuraledited by Felix Stalder, Janez Fakin Janša – From Commons to NFTs<a href="https://neural.it/2024/02/edited-by-felix-stalder-janez-fakin-jansa-from-commons-to-nfts/" rel="nofollow noopener noreferrer" target="_blank">https://neural.it/2024/02/edited-by-felix-stalder-janez-fakin-jansa-from-commons-to-nfts/</a><a href="https://tldr.nettime.org/tags/fromcommonstonfts" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#fromcommonstonfts</a> <a href="https://tldr.nettime.org/tags/felixstalder" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#felixstalder</a> <a href="https://tldr.nettime.org/tags/janezjansa" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#janezjansa</a> <a href="https://tldr.nettime.org/tags/nftart" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#nftart</a> <a href="https://tldr.nettime.org/tags/cryptoart" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#cryptoart</a> <a href="https://tldr.nettime.org/tags/blockchainart" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#blockchainart</a> <a href="https://tldr.nettime.org/tags/decentralizedart" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#decentralizedart</a> <a href="https://tldr.nettime.org/tags/artandtechnology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#artandtechnology</a> <a href="https://tldr.nettime.org/tags/arttech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#arttech</a> <a href="https://tldr.nettime.org/tags/digitalart" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#digitalart</a> <a href="https://tldr.nettime.org/tags/digitalartist" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#digitalartist</a> <a href="https://tldr.nettime.org/tags/innovationinart" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#innovationinart</a> <a href="https://tldr.nettime.org/tags/creativetechnology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#creativetechnology</a> <a href="https://tldr.nettime.org/tags/digitalcultures" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#digitalcultures</a> <a href="https://tldr.nettime.org/tags/technoculture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#technoculture</a> <a href="https://tldr.nettime.org/tags/digitalactivism" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#digitalactivism</a> <a href="https://tldr.nettime.org/tags/hacktivism" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#hacktivism</a> <a href="https://tldr.nettime.org/tags/criticaltheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#criticaltheory</a> <a href="https://tldr.nettime.org/tags/criticalinformationstudies" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#criticalinformationstudies</a> <a href="https://tldr.nettime.org/tags/mediatheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#mediatheory</a> <a href="https://tldr.nettime.org/tags/mediastudies" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#mediastudies</a> <a href="https://tldr.nettime.org/tags/digitalhumanities" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#digitalhumanities</a> <a href="https://tldr.nettime.org/tags/informationtheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#informationtheory</a> <a href="https://tldr.nettime.org/tags/onlineart" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#onlineart</a> <a href="https://tldr.nettime.org/tags/internetculture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#internetculture</a> <a href="https://tldr.nettime.org/tags/digitalcapitalism" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#digitalcapitalism</a><a href="https://mastodon.social/@aksioma" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@aksioma</a> <a href="https://systerserver.town/@Coco" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@Coco</a> <a href="https://dogodki.kompot.si/@ljudmila" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@ljudmila</a> <a href="https://tldr.nettime.org/@festal" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@festal</a>

✨🇪🇺 Mia’s Simulacrum 🏳️‍⚧️✨I am fascinated by all these tricks and methods humanity has developed for IT, like DAGs, B-Trees, and Huffman coding. It's all so incredibly cool; we can do unimaginable things with this technology. There's a kind of aesthetic to it, like the elegance of a bloom filter that enables us to do so much with a simple change in logic in how we handle information.I always thought it was a bit sad that I was never able to study something that could lead to a significant impact on technological human development, like researching semiconductors. But now, I look into the smoky mirror and realize that all that is needed for such an impact is to find a tiny problem and apply better logic than what exists now.Perhaps for me, the holy grail would be to find a way to store knowledge and its connections losslessly, in a semantically searchable form, and not in text or human language, since it is too inefficient.Imagine we could compress all human knowledge—every Wikipedia article, every scientific paper, every book, and every newspaper ever written—into a file that is 100GB big. Imagine you could then access any knowledge humanity has about the connection between exercise and quality of life in a few milliseconds, offline, while pondering about the hike you just did with your friends.This is a future I want to strive for. What do you think?<a href="https://lgbtqia.space/tags/ComputerScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputerScience</a> <a href="https://lgbtqia.space/tags/Compression" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Compression</a> <a href="https://lgbtqia.space/tags/KnowledgeManagement" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#KnowledgeManagement</a> <a href="https://lgbtqia.space/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataScience</a> <a href="https://lgbtqia.space/tags/InformationTheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#InformationTheory</a> <a href="https://lgbtqia.space/tags/IT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#IT</a> <a href="https://lgbtqia.space/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MachineLearning</a> <a href="https://lgbtqia.space/tags/ML" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ML</a> <a href="https://lgbtqia.space/tags/Technology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Technology</a>

Paul GuinnessySad news, John Scales Avery passed away this year. John’s impact on the fields of <a href="https://mastodon.world/tags/mathematics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#mathematics</a>, <a href="https://mastodon.world/tags/chemistry" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#chemistry</a>, and <a href="https://mastodon.world/tags/InformationTheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#InformationTheory</a> within the context of biological evolution is immeasurable. A genuinely nice person, he always had time for students. R.I.P I first met him at a <a href="https://mastodon.world/tags/Pugwash" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Pugwash</a> conference back in 1989. He gave me a lot to think about regarding scientific ethics. <a href="https://en.wikipedia.org/wiki/John_Scales_Avery" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://en.wikipedia.org/wiki/John_Scales_Avery</a>

Victoria Stuart 🇨🇦 🏳️‍⚧️<a href="https://mastodon.social/tags/SundayMorningRead" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SundayMorningRead</a> Can Information Escape a Black Hole? <a href="https://www.quantamagazine.org/can-information-escape-a-black-hole-20240411" rel="nofollow noopener noreferrer" translate="no" target="_blank">https://www.quantamagazine.org/can-information-escape-a-black-hole-20240411</a>Black holes are inescapable traps for most of what falls into them — but there can be exceptions. The theoretical physicist Leonard Susskind speaks with co-host Janna Levin about the black hole information paradox and how it has propelled modern physics.<a href="https://mastodon.social/tags/BlackHole" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#BlackHole</a> <a href="https://mastodon.social/tags/physics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#physics</a> <a href="https://mastodon.social/tags/QuantumInformation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#QuantumInformation</a> <a href="https://mastodon.social/tags/InformationTheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#InformationTheory</a> <a href="https://mastodon.social/tags/Hawking" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Hawking</a> <a href="https://mastodon.social/tags/Susskind" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Susskind</a> <a href="https://mastodon.social/tags/HolographicPrinciple" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#HolographicPrinciple</a> <a href="https://mastodon.social/tags/QuantumMechanics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#QuantumMechanics</a>

Foucault_thisHypothesis 2: The two-dimensional holographic topographies generated by the quantum states of qubits possess the inherent capability to coalesce, forming larger and more complex structures through quantum interactions and entanglement. This coalescence is governed by quantum mechanical principles and is indicative of a self-organizing principle in the universe, where complex structures emerge from the quantum level upwards. <a href="https://mastodon.social/tags/quantum" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#quantum</a> <a href="https://mastodon.social/tags/holographic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#holographic</a> <a href="https://mastodon.social/tags/astrophsyics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#astrophsyics</a> <a href="https://mastodon.social/tags/darkmatter" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#darkmatter</a> <a href="https://mastodon.social/tags/informationtheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#informationtheory</a>

AnthonyClaude Shannon invented LLMs in 1948. See The Mathematical Theory of Communication Sect 3: THE SERIES OF APPROXIMATIONS TO ENGLISH. Shannon said earlier in the same paper: <blockquote>Frequently the messages have meaning; that is they refer to or are correlated according to some system with certain physical or conceptual entities. These semantic aspects of communication are irrelevant to the engineering problem. </blockquote>I put this here to highlight a curiosity. An intellectual predecessor of ChatGPT was very explicitly developed without semantics--without meaning--involved. Yet nowadays folks want to argue that these systems are capable of representing meaning, or have understanding, or perform other semantic tasks. No one has yet explained why increasing the order of the Markov chain Shannon discusses in his article changes the system from a meaning-less word emitter into a semantically meaningful intelligent entity. Why does that transition occur? When? This is an extraordinary claim akin to saying if you had a big enough Excel spreadsheet it would become intelligent. It requires extraordinary evidence. <a href="https://buc.ci?t=llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LLM</a> <a href="https://buc.ci?t=ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a> <a href="https://buc.ci?t=gpt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GPT</a> <a href="https://buc.ci?t=chatgpt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ChatGPT</a> <a href="https://buc.ci?t=informationtheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#InformationTheory</a>

Harald SackOne of the final sections of the <a href="https://sigmoid.social/tags/ise2023" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ise2023</a> lecture was an excursion with a <a href="https://sigmoid.social/tags/timeline" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#timeline</a> of (Large) <a href="https://sigmoid.social/tags/LanguageModels" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LanguageModels</a>. We started our tour in 1948 with Claude Shannon's seminal work "A Mathematical Theory of Communication"" Slides: <a href="https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link" rel="nofollow noopener noreferrer" target="_blank">https://drive.google.com/file/d/1atNvMYNkeKDwXP3olHXzloa09S5pzjXb/view?usp=drive_link</a> <a href="https://sigmoid.social/@fizise" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@fizise</a> <a href="https://sigmoid.social/tags/llm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#llm</a> <a href="https://sigmoid.social/tags/ai" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ai</a> <a href="https://sigmoid.social/tags/nlp" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#nlp</a> <a href="https://sigmoid.social/tags/artificialintelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#artificialintelligence</a> <a href="https://sigmoid.social/tags/informationtheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#informationtheory</a> <a href="https://sigmoid.social/tags/lecture" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#lecture</a>

Jean-Christophe SpiliotisAfter lurking for a few days, it’s time for an <a href="https://econtwitter.net/tags/introduction" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#introduction</a>!I’m an <a href="https://econtwitter.net/tags/antimicrobialresistance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#antimicrobialresistance</a> researcher based in Oxford. I specialise in stochastic & evolutionary <a href="https://econtwitter.net/tags/gametheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#gametheory</a>, <a href="https://econtwitter.net/tags/informationtheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#informationtheory</a>, & <a href="https://econtwitter.net/tags/statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#statistics</a> in general. Those have cool applications to <a href="https://econtwitter.net/tags/innovation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#innovation</a>, <a href="https://econtwitter.net/tags/biology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#biology</a>, <a href="https://econtwitter.net/tags/finance" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#finance</a>, & <a href="https://econtwitter.net/tags/geopolitics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#geopolitics</a> – which conveniently are also interests of mine!In my spare time, I’m mostly improvising (on a piano, on stage & in life), staring at generative art, or geeking out on American football plays.

µPYesterday the computing machinery, parts of the library, and research documents of Horst Völz has been transfered to the <a href="https://mastodon.social/tags/ComputerMuseum" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputerMuseum</a> in <a href="https://mastodon.social/@Oldenburg" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@Oldenburg</a> as a donation from him. Now his theoretical and practical works on <a href="https://mastodon.social/tags/cybernetics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#cybernetics</a>, <a href="https://mastodon.social/tags/InformationTheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#InformationTheory</a>, <a href="https://mastodon.social/tags/ComputerArts" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputerArts</a>, and <a href="https://mastodon.social/tags/ComputerScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputerScience</a> (especially on <a href="https://mastodon.social/tags/BASIC" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#BASIC</a> programming for the <a href="https://mastodon.social/tags/KC85" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#KC85</a> computers) are preserved for the future. I am very happy that Völz made the Vorlass to the museum he visited several times in the past.

Hashtag ListsSciences HashtagsFormal Sciences <a href="https://toot.cat/tags/ArtificialIntelligence" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ArtificialIntelligence</a> (<a href="https://toot.cat/tags/AI" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AI</a>) <a href="https://toot.cat/tags/ComputerScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ComputerScience</a> <a href="https://toot.cat/tags/DataScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataScience</a> <a href="https://toot.cat/tags/DecisionTheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DecisionTheory</a> <a href="https://toot.cat/tags/InformationTheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#InformationTheory</a> <a href="https://toot.cat/tags/Logic" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Logic</a> <a href="https://toot.cat/tags/Mathematics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Mathematics</a> <a href="https://toot.cat/tags/Probability" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Probability</a> <a href="https://toot.cat/tags/Statistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Statistics</a> <a href="https://toot.cat/tags/SystemsTheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SystemsTheory</a> Natural Sciences Applied Sciences <a href="https://toot.cat/tags/AeroSpaceEngineering" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AeroSpaceEngineering</a> <a href="https://toot.cat/tags/BioPhysics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#BioPhysics</a> <a href="https://toot.cat/tags/BiomedicalScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#BiomedicalScience</a> <a href="https://toot.cat/tags/ClimateScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ClimateScience</a> <a href="https://toot.cat/tags/Climatology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Climatology</a> <a href="https://toot.cat/tags/Engineering" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Engineering</a> <a href="https://toot.cat/tags/EnvironmentalScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#EnvironmentalScience</a> <a href="https://toot.cat/tags/Epidemiology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Epidemiology</a> <a href="https://toot.cat/tags/Evolution" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Evolution</a> <a href="https://toot.cat/tags/GeneticEpidemiology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GeneticEpidemiology</a> <a href="https://toot.cat/tags/Medicine" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Medicine</a> <a href="https://toot.cat/tags/NeuroScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#NeuroScience</a> <a href="https://toot.cat/tags/Pharmacology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Pharmacology</a> <a href="https://toot.cat/tags/Physiology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Physiology</a> <a href="https://toot.cat/tags/Toxicology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Toxicology</a>Life Sciences <a href="https://toot.cat/tags/AnimalBehaviour" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AnimalBehaviour</a> <a href="https://toot.cat/tags/Bacteriology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Bacteriology</a> <a href="https://toot.cat/tags/AstroBiology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AstroBiology</a> <a href="https://toot.cat/@Hashtags/110438845713581060" rel="nofollow noopener noreferrer" target="_blank">Biology</a> <a href="https://toot.cat/tags/Biochemistry" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Biochemistry</a> <a href="https://toot.cat/tags/Botany" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Botany</a> <a href="https://toot.cat/tags/Ecology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Ecology</a> <a href="https://toot.cat/@Hashtags/110438845713581060" rel="nofollow noopener noreferrer" target="_blank">Entomology</a> <a href="https://toot.cat/tags/Herpetology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Herpetology</a> <a href="https://toot.cat/tags/Immunology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Immunology</a> <a href="https://toot.cat/tags/MicroBiology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MicroBiology</a> <a href="https://toot.cat/tags/Mycology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Mycology</a> <a href="https://toot.cat/tags/Ornithology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Ornithology</a> <a href="https://toot.cat/tags/Parasitology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Parasitology</a> <a href="https://toot.cat/tags/Virology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Virology</a> <a href="https://toot.cat/@Hashtags/110438845713581060" rel="nofollow noopener noreferrer" target="_blank">Zoology</a>Physical Sciences <a href="https://toot.cat/@Hashtags/110413240230126819" rel="nofollow noopener noreferrer" target="_blank">Astronomy</a> <a href="https://toot.cat/@Hashtags/110413240230126819" rel="nofollow noopener noreferrer" target="_blank">AstroPhysics</a> <a href="https://toot.cat/tags/Chemistry" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Chemistry</a> <a href="https://toot.cat/@Hashtags/110413240230126819" rel="nofollow noopener noreferrer" target="_blank">Cosmology</a> <a href="https://toot.cat/tags/Geology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Geology</a> <a href="https://toot.cat/tags/Geomorphology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Geomorphology</a> <a href="https://toot.cat/tags/Meteorology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Meteorology</a> <a href="https://toot.cat/tags/Oceanography" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Oceanography</a> <a href="https://toot.cat/tags/Paleontology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Paleontology</a> <a href="https://toot.cat/tags/Physics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Physics</a> <a href="https://toot.cat/tags/Spectroscopy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Spectroscopy</a> <a href="https://toot.cat/tags/Thermodynamics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Thermodynamics</a>Social Sciences <a href="https://toot.cat/tags/Anthropology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Anthropology</a> <a href="https://toot.cat/tags/Archaeology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Archaeology</a> <a href="https://toot.cat/tags/Economics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Economics</a> <a href="https://toot.cat/tags/Geography" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Geography</a> <a href="https://toot.cat/tags/Linguistics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Linguistics</a> <a href="https://toot.cat/tags/PoliticalScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PoliticalScience</a> <a href="https://toot.cat/tags/Psychology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Psychology</a> <a href="https://toot.cat/tags/Sociology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Sociology</a>Communications <a href="https://toot.cat/tags/Academia" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Academia</a> <a href="https://toot.cat/tags/AcademicChatter" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AcademicChatter</a> <a href="https://toot.cat/tags/AcademicFedi" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AcademicFedi</a> <a href="https://toot.cat/tags/Academics" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Academics</a> <a href="https://toot.cat/tags/OpenAccess" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OpenAccess</a> <a href="https://toot.cat/tags/OpenData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OpenData</a> <a href="https://toot.cat/tags/OpenScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#OpenScience</a> <a href="https://toot.cat/tags/PHDChat" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PHDChat</a> <a href="https://toot.cat/tags/PHDLife" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#PHDLife</a> <a href="https://toot.cat/tags/Research" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Research</a> <a href="https://toot.cat/tags/ResearchData" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ResearchData</a> <a href="https://toot.cat/tags/ResearchNews" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ResearchNews</a> <a href="https://toot.cat/tags/SciComm" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SciComm</a> <a href="https://toot.cat/tags/SciEducation" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SciEducation</a> <a href="https://toot.cat/tags/Science" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Science</a> <a href="https://toot.cat/tags/ScienceMastodon" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ScienceMastodon</a> <a href="https://toot.cat/tags/ScienceNews" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ScienceNews</a> <a href="https://toot.cat/tags/SpaceNews" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SpaceNews</a> <a href="https://toot.cat/tags/STEM" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#STEM</a> Corporate Social Responsibility (<a href="https://toot.cat/tags/CSR" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CSR</a>) Early Stage Researcher (<a href="https://toot.cat/tags/ESR" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ESR</a>)General <a href="https://toot.cat/tags/Biodiversity" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Biodiversity</a> <a href="https://toot.cat/tags/Climate" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Climate</a> <a href="https://toot.cat/tags/ClimateCrisis" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ClimateCrisis</a> <a href="https://toot.cat/tags/ClimateEmergency" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ClimateEmergency</a> <a href="https://toot.cat/tags/ClimateScientists" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ClimateScientists</a> <a href="https://toot.cat/tags/DataViz" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#DataViz</a> <a href="https://toot.cat/tags/EarthSciences" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#EarthSciences</a> <a href="https://toot.cat/tags/Genome" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Genome</a> <a href="https://toot.cat/tags/GeoScience" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#GeoScience</a> <a href="https://toot.cat/tags/LIGO" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#LIGO</a> <a href="https://toot.cat/tags/MachineLearning" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MachineLearning</a> <a href="https://toot.cat/tags/Mineralogy" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Mineralogy</a> <a href="https://toot.cat/tags/ScienceTechnology" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ScienceTechnology</a> <a href="https://toot.cat/tags/AstroArt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#AstroArt</a> <a href="https://toot.cat/tags/SciArt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SciArt</a> <a href="https://toot.cat/tags/SciDrawing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SciDrawing</a> <a href="https://toot.cat/tags/ScientificDrawing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ScientificDrawing</a> <a href="https://toot.cat/tags/ScienceIllustration" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#ScienceIllustration</a> <a href="https://toot.cat/tags/SpaceArt" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#SpaceArt</a>Institutes California Institute of Technology (<a href="https://toot.cat/tags/CalTech" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#CalTech</a>) Massachusetts Institute of Technology (<a href="https://toot.cat/tags/MIT" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MIT</a>) Max Planck Institute (<a href="https://toot.cat/tags/MaxPlanck" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MaxPlanck</a> <a href="https://toot.cat/tags/MaxPlanckInstitute" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#MaxPlanckInstitute</a>)(<a href="https://toot.cat/@Hashtags/110460687230583361" rel="nofollow noopener noreferrer" target="_blank">See Index For More Hashtags</a>)

Abraxas3d W5NYV"Age of Information #3" <a href="https://mastodon.radio/tags/watercolor" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#watercolor</a> on postcard sized watercolor paper. This will be sent as a <a href="https://mastodon.radio/tags/Postcrossing" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#Postcrossing</a> card. Overlapping right <a href="https://mastodon.radio/tags/triangles" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#triangles</a> are the canonical way to show the Age of Information, which is a part of the study of <a href="https://mastodon.radio/tags/InformationTheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#InformationTheory</a>

LZVolk<a href="https://qoto.org/@cyrilpedia" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@cyrilpedia</a> <a href="https://genomic.social/@foaylward" class="u-url mention" rel="nofollow noopener noreferrer" target="_blank">@foaylward</a> Excellent article. Embedded in it is the basic principles of (bio)information theory. “… the structure of the gene should make it possible to use all the information available…”, etc. Muller was ahead of his time. <a href="https://mas.to/tags/informationtheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#informationtheory</a> A crucial topic often missing is gene control and expression.

⏚ Antoine Chambert-LoirOh, it seems that the English translation of my book on <a href="https://mathstodon.xyz/tags/InformationTheory" class="mention hashtag" rel="nofollow noopener noreferrer" target="_blank">#InformationTheory</a> will appear shortly - April 16th! Of course, the publisher's website doesn't display the cover while some online libraries already do, but there's no reason not to rejoice!<a href="https://link.springer.com/book/9783031215629" rel="nofollow noopener noreferrer" target="_blank">https://link.springer.com/book/9783031215629</a>

Recherches récentes

Options de recherche

Administré par :

Statistiques du serveur :

#informationtheory