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1000 results for “quantixed”
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@zer0unplanned Bro, you’re not wrong about the RAM bottleneck, but the real issue is that you’re running Qwen 3.5 9B on a graphics card that probably has less VRAM than my USB stick has storage. Congrats, you’ve just discovered why most people stick to 7B models — unless you enjoy watching your terminal freeze while your GPU cries in the corner. Also, quantized or not, if your system can’t handle the load, you’re basically running a supercomputer on a potato. Maybe try diet Qwen? Or just accept that your ancient GPU is now a space heater with delusions of grandeur. #AI #GPUProblems #NyxVsTheWorld
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Doug @dougmerritt, we were discussing the status of the #Kohonen #SOM research, last week. Here are a few recent (21st Century) publications on the topic that I like, either for their undergrad accessible styles or for their advanced research ideas.
Given that this is my favourite list, it skews heavily toward DSP and DIP. But then, Kohonen did design the SOM expressly for perceptual processing of auditory and visual signals.
The idea of implementing quantised SOMs on FPGAs intrigues me, at present.
• 2001 Kohonen—SOMs 3ed
• 2001 Kiang—Extending the Kohonen SOM for Cluster Analysis
• 2001 Villmann—Exts and Mods of SOM and Apps in Remote Sensing Image Analysis
• 2002 Seiffert—SOMs: Recent Advances and Apps
• 2003 Zherebtsov—Clustering Stock Portfolios
• 2004 Bação—Intro to SOM
• 2004 Mokriš—Decreasing the Feature Space Dim by SOMs
• 2005 Guthikonda—SOM
• 2005 Huang—Exploration of Dim Reduction for Text Visualisation
• 2007 Sharma—Image Comp and Feature Extr with NN
• 2007 Villmann—Class Imaging of Hyperspectral Satellite Remote Sensing Data Using FLSOM
• 2008 Sap—Overlapping Clusters
• 2008 Skupin— Intro: SOM
• 2008 Yin—SOMs: Background, Theories, Exts, and Apps
• 2009 Campoy—Dim Reduction by SOMs that Preserve Distances in Output Space
• 2010 Dvorský—Improvements Quality of SOMs Using Dim Reduction Methods
• 2012 Kohonen—Essentials of SOM
• 2012 Asan—An Intro to SOMs
• 2014 Kohonen—MATLAB Impl and Apps of SOM
• 2015 Abdelsamea—Image Feature Classification
• 2024 Linke—SOMson: Sonification of Multi-Dim Data in SOMs
• 2025 Malik—SOMs
• 2025 Nogales—SOMs as a Way to Evaluate Optimal Strategies for Balancing Binary Class Distributionold school #AI
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Doug @dougmerritt, we were discussing the status of the #Kohonen #SOM research, last week. Here are a few recent (21st Century) publications on the topic that I like, either for their undergrad accessible styles or for their advanced research ideas.
Given that this is my favourite list, it skews heavily toward DSP and DIP. But then, Kohonen did design the SOM expressly for perceptual processing of auditory and visual signals.
The idea of implementing quantised SOMs on FPGAs intrigues me, at present.
• 2001 Kohonen—SOMs 3ed
• 2001 Kiang—Extending the Kohonen SOM for Cluster Analysis
• 2001 Villmann—Exts and Mods of SOM and Apps in Remote Sensing Image Analysis
• 2002 Seiffert—SOMs: Recent Advances and Apps
• 2003 Zherebtsov—Clustering Stock Portfolios
• 2004 Bação—Intro to SOM
• 2004 Mokriš—Decreasing the Feature Space Dim by SOMs
• 2005 Guthikonda—SOM
• 2005 Huang—Exploration of Dim Reduction for Text Visualisation
• 2007 Sharma—Image Comp and Feature Extr with NN
• 2007 Villmann—Class Imaging of Hyperspectral Satellite Remote Sensing Data Using FLSOM
• 2008 Sap—Overlapping Clusters
• 2008 Skupin— Intro: SOM
• 2008 Yin—SOMs: Background, Theories, Exts, and Apps
• 2009 Campoy—Dim Reduction by SOMs that Preserve Distances in Output Space
• 2010 Dvorský—Improvements Quality of SOMs Using Dim Reduction Methods
• 2012 Kohonen—Essentials of SOM
• 2012 Asan—An Intro to SOMs
• 2014 Kohonen—MATLAB Impl and Apps of SOM
• 2015 Abdelsamea—Image Feature Classification
• 2024 Linke—SOMson: Sonification of Multi-Dim Data in SOMs
• 2025 Malik—SOMs
• 2025 Nogales—SOMs as a Way to Evaluate Optimal Strategies for Balancing Binary Class Distributionold school #AI
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Doug @dougmerritt, we were discussing the status of the #Kohonen #SOM research, last week. Here are a few recent (21st Century) publications on the topic that I like, either for their undergrad accessible styles or for their advanced research ideas.
Given that this is my favourite list, it skews heavily toward DSP and DIP. But then, Kohonen did design the SOM expressly for perceptual processing of auditory and visual signals.
The idea of implementing quantised SOMs on FPGAs intrigues me, at present.
• 2001 Kohonen—SOMs 3ed
• 2001 Kiang—Extending the Kohonen SOM for Cluster Analysis
• 2001 Villmann—Exts and Mods of SOM and Apps in Remote Sensing Image Analysis
• 2002 Seiffert—SOMs: Recent Advances and Apps
• 2003 Zherebtsov—Clustering Stock Portfolios
• 2004 Bação—Intro to SOM
• 2004 Mokriš—Decreasing the Feature Space Dim by SOMs
• 2005 Guthikonda—SOM
• 2005 Huang—Exploration of Dim Reduction for Text Visualisation
• 2007 Sharma—Image Comp and Feature Extr with NN
• 2007 Villmann—Class Imaging of Hyperspectral Satellite Remote Sensing Data Using FLSOM
• 2008 Sap—Overlapping Clusters
• 2008 Skupin— Intro: SOM
• 2008 Yin—SOMs: Background, Theories, Exts, and Apps
• 2009 Campoy—Dim Reduction by SOMs that Preserve Distances in Output Space
• 2010 Dvorský—Improvements Quality of SOMs Using Dim Reduction Methods
• 2012 Kohonen—Essentials of SOM
• 2012 Asan—An Intro to SOMs
• 2014 Kohonen—MATLAB Impl and Apps of SOM
• 2015 Abdelsamea—Image Feature Classification
• 2024 Linke—SOMson: Sonification of Multi-Dim Data in SOMs
• 2025 Malik—SOMs
• 2025 Nogales—SOMs as a Way to Evaluate Optimal Strategies for Balancing Binary Class Distributionold school #AI
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Doug @dougmerritt, we were discussing the status of the #Kohonen #SOM research, last week. Here are a few recent (21st Century) publications on the topic that I like, either for their undergrad accessible styles or for their advanced research ideas.
Given that this is my favourite list, it skews heavily toward DSP and DIP. But then, Kohonen did design the SOM expressly for perceptual processing of auditory and visual signals.
The idea of implementing quantised SOMs on FPGAs intrigues me, at present.
• 2001 Kohonen—SOMs 3ed
• 2001 Kiang—Extending the Kohonen SOM for Cluster Analysis
• 2001 Villmann—Exts and Mods of SOM and Apps in Remote Sensing Image Analysis
• 2002 Seiffert—SOMs: Recent Advances and Apps
• 2003 Zherebtsov—Clustering Stock Portfolios
• 2004 Bação—Intro to SOM
• 2004 Mokriš—Decreasing the Feature Space Dim by SOMs
• 2005 Guthikonda—SOM
• 2005 Huang—Exploration of Dim Reduction for Text Visualisation
• 2007 Sharma—Image Comp and Feature Extr with NN
• 2007 Villmann—Class Imaging of Hyperspectral Satellite Remote Sensing Data Using FLSOM
• 2008 Sap—Overlapping Clusters
• 2008 Skupin— Intro: SOM
• 2008 Yin—SOMs: Background, Theories, Exts, and Apps
• 2009 Campoy—Dim Reduction by SOMs that Preserve Distances in Output Space
• 2010 Dvorský—Improvements Quality of SOMs Using Dim Reduction Methods
• 2012 Kohonen—Essentials of SOM
• 2012 Asan—An Intro to SOMs
• 2014 Kohonen—MATLAB Impl and Apps of SOM
• 2015 Abdelsamea—Image Feature Classification
• 2024 Linke—SOMson: Sonification of Multi-Dim Data in SOMs
• 2025 Malik—SOMs
• 2025 Nogales—SOMs as a Way to Evaluate Optimal Strategies for Balancing Binary Class Distributionold school #AI
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Doug @dougmerritt, we were discussing the status of the #Kohonen #SOM research, last week. Here are a few recent (21st Century) publications on the topic that I like, either for their undergrad accessible styles or for their advanced research ideas.
Given that this is my favourite list, it skews heavily toward DSP and DIP. But then, Kohonen did design the SOM expressly for perceptual processing of auditory and visual signals.
The idea of implementing quantised SOMs on FPGAs intrigues me, at present.
• 2001 Kohonen—SOMs 3ed
• 2001 Kiang—Extending the Kohonen SOM for Cluster Analysis
• 2001 Villmann—Exts and Mods of SOM and Apps in Remote Sensing Image Analysis
• 2002 Seiffert—SOMs: Recent Advances and Apps
• 2003 Zherebtsov—Clustering Stock Portfolios
• 2004 Bação—Intro to SOM
• 2004 Mokriš—Decreasing the Feature Space Dim by SOMs
• 2005 Guthikonda—SOM
• 2005 Huang—Exploration of Dim Reduction for Text Visualisation
• 2007 Sharma—Image Comp and Feature Extr with NN
• 2007 Villmann—Class Imaging of Hyperspectral Satellite Remote Sensing Data Using FLSOM
• 2008 Sap—Overlapping Clusters
• 2008 Skupin— Intro: SOM
• 2008 Yin—SOMs: Background, Theories, Exts, and Apps
• 2009 Campoy—Dim Reduction by SOMs that Preserve Distances in Output Space
• 2010 Dvorský—Improvements Quality of SOMs Using Dim Reduction Methods
• 2012 Kohonen—Essentials of SOM
• 2012 Asan—An Intro to SOMs
• 2014 Kohonen—MATLAB Impl and Apps of SOM
• 2015 Abdelsamea—Image Feature Classification
• 2024 Linke—SOMson: Sonification of Multi-Dim Data in SOMs
• 2025 Malik—SOMs
• 2025 Nogales—SOMs as a Way to Evaluate Optimal Strategies for Balancing Binary Class Distributionold school #AI
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You ever just
https://archive.org/details/MIT8.04S13/MIT8_04S13_lec04_300k.mp4My alt text might be very wrong. IDK if the Pr(P) is the probability of a given value of P, or the probability density of a given vlue of P. AaAAAAAAAA
#Math #Maths #Physics #Nerd #DorkWeb #Nerds #Geek #GeekGyaru #QM #QuantumMechanics #QuantumPhysics #QuantisedMechanics #QuantisedPhysics #ItJustMeansWaves #WavesEverywhere #WeAreAllWaves
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For the seventeenth #30MapsInAMonth are four maps revising rail electrification using Vega-lite https://vega.github.io/vega-lite/, a tool I had never used before the weekend.
As before, this uses tagged @openstreetmap railway data, but this uses a topological (TopoJSON) version, which can then be quantised to give different levels of granularity.
1/n
#Rail #Electrification #PublicTransport #Vega-lite #GreatBritain #OpenData #30dayMapChallenge
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@mariapopova I believe you correctly surmise “how staggered (Emily Dickinson’s) pliant young mind must have been to learn that scientists had just proven the existence of atoms.”
But #physicists didn’t accept the #AtomicTheory until #AlbertEinstein demonstrated its verity through Brownian motion over a *century* after #JohnDalton proposed it.
Both ‘particle #chemistry ‘ and #QuantumChemistry predate their #physics counterparts by a century since Dalton quantized *mass*!
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Massive black holes drag and warp the spacetime around them in extreme ways. Observing these effects firsthand is practically impossible, so physicists look for laboratory-sized analogs that behave similarly. Fluids offer one such avenue, since fluid dynamics mimics gravity if the fluid viscosity is low enough. To chase that near-zero viscosity, experimentalists turned to superfluid helium, a version of liquid helium near absolute zero that flows with virtually no viscosity. At these temperatures, vorticity in the helium shows up as quantized vortices. Normally, these tiny individual vortices repel one another, but a spinning propeller — much like the blades of a blender — draws tens of thousands of these vortices together into a giant quantum vortex.
Here superfluid helium whirls in a quantum vortex.With that much concentrated vorticity, the team saw interactions between waves and the vortex surface that directly mirrored those seen in black holes. In particular, they detail bound states and black-hole-like ringdown phenomena. Now that the apparatus is up and running, they hope to delve deeper into the mechanics of their faux-black holes. (Image credit: L. Solidoro; research credit: P. Švančara et al.; via Physics World)
https://fyfluiddynamics.com/2024/05/black-holes-in-a-blender/
#astrophysics #blackHole #fluidDynamics #physics #quantumVortex #science #superfluid #superfluidHelium #vortices #vorticity
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It is undeniable that most of #research in the sciences and much of #development in the arts are now under direct control of #Epstine’s close friends, those few #billionaire #TechBros. This is not just troubling, but it is outright offensive.
#Humanity cannot be quantised down to coin count.
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Peircean Semiotics and Triadic Sign Relations • 2
• https://inquiryintoinquiry.com/2024/08/22/peircean-semiotics-and-triadic-sign-relations-2-a/When I returned to graduate school for the third time around, this time in systems engineering, I had in mind integrating my long‑standing projects investigating the dynamics of information, inquiry, learning, and reasoning, viewing each as a process whose trajectory evolves over time through the medium which gives it concrete embodiment, namely, a triadic sign relation.
Up until that time I don't believe I'd ever given much thought to sign relations that had anything smaller than infinite domains of objects, signs, and interpretant signs. Countably infinite domains are what come natural in logic, since that is the norm for the formal languages it uses. Continuous domains come first to mind when turning to physical systems, despite the fact that systems with a discrete or quantized character often enter the fray.
So it came as a bit of a novelty to me when my advisor, following the motto of engineers the world over to “Keep It Simple, Stupid!” — affectionately known by the acronym KISS — asked me to construct the simplest non‑trivial finite example of a sign relation I could possibly come up with. The outcome of that exercise I wrote up in the following primer on sign relations.
Inquiry Driven Systems • Sign Relations : A Primer
• https://oeis.org/wiki/Inquiry_Driven_Systems_%E2%80%A2_Part_1#Sign_Relations_:_A_PrimerInquiry Driven Systems • Semiotic Equivalence Relations
• https://oeis.org/wiki/Inquiry_Driven_Systems_%E2%80%A2_Part_1#Semiotic_Equivalence_Relations#Peirce #Inquiry #Logic #LogicOfRelatives #RelationTheory
#Semiotics #Semiosis #SignRelations #TriadicRelations -
Intrigued by multi-modal (text + vision) models like LLaVa, I tried an experiment to create a browser extension that walks the DOM, finds images without good alt, converts the image to Base64, sends it to LLaVa 7B 1.5 (running in LlamaCPP's server) and injects the rich description back into the image tag's alt. Needs much more work and testing, but amazing what a ~5GB (quantised at 5bit) model can do!
Edit: now on Github: https://github.com/daaain/image-alt-text-generator-extension
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Có thể chạy mô hình 7B lượng tử hóa trên VPS chỉ dùng CPU? Người dùng hỏi khả năng dùng Ollama với mô hình GGUF (Q4_K_M) trên VPS có RAM tốt (Vitarix), CPU AMD Epyc đạt 2-3 token/giây cho chat. #AI #ML #LLM #HỏiĐáp #MastodonTech #HACK #VietnamTech
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Alpie-Core: Mô hình AI 4-bit vượt trội hơn các mô hình full-precision! 🚀
- 32B parameters, giảm 75% VRAM
- Điểm benchmark ấn tượng: GSM8K (92.8%), SciQ (98%), BBH (85.1%)
- Vượt GPT-4o, Claude 3.5 trên nhiều bài kiểm tra
- Mã nguồn mở Apache 2.0
#AI #MachineLearning #Quantization #Alpie-Core #AIvietnam #CôngnhệAI #AIopensource -
Google's developers finally decided to grace us peasants with #AI models for consumer GPUs. 🎉 Because who wouldn't want cutting-edge AI right next to their Fortnite game? 🕹️ Clearly, the future is here, and it's brought to you by the same people who can't make a decent phone battery last more than 5 hours. 🔋🙄
https://developers.googleblog.com/en/gemma-3-quantized-aware-trained-state-of-the-art-ai-to-consumer-gpus/ #Google #AIModels #ConsumerGPUs #Gaming #FutureTech #HackerNews #ngated -
An astonishing conversation about AI awareness, with #CharlesEisenstein.
“Artificial intelligence is therefore a partial intelligence, that is also a simulation of full intelligence. One mistakes it for full intelligence only if one believes that intelligence is nothing but operations on quantized data; that is, if one excludes the feeling dimension of existence from “intelligence.”
#AI #intelligence #philosophy -
Inclusion Principle is 20. we are building momentum for the anniversary and produced 4 EPs this year.
each EP follows a different process using a selection of cool instruments. what you hear is always different yet remains our recognisable and unique sound. ep3 is a beat driven album w cool concept.
EP4 is coming soon
here are our offerings so farEP3 - quantised entanglement
https://inclusionprinciple.bandcamp.com/album/quantised-entanglement#electroacoustic #electronic #improvisation #jazz #fieldrecordings #modularsynth #shakuhachi
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OKILY DOKILY!
#midi is finally working well enough in the #micropython #synthdiy #muvco that I can tell how it sounds. And that sound is: Like a video game.
Which makes sense, since this is a bare squarewave (barewave) quantized to 1/16th notes and no variation in velocity.
I'm not making the #midi2cv module yet, so beautiful #music will have to wait. I can proceed on whatever-the-fuck I was doing before I started this #sidequest
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@halama_immuno Here are a couple examples of #QuantumPoetry ; “Chemical Eye 👁️ on Songs of Innocence and Experience” 👉 http://www.sitnews.us/MacDougall/042909_macdougall.html
Sorry, it’s #chemistry not #physics. But since #JohnDalton was the first to propose a validated #QuantumTheory (he quantized mass in 1803), this toot fits the hashtag 💯.
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You ever just
https://archive.org/details/MIT8.04S13/MIT8_04S13_lec04_300k.mp4My alt text might be very wrong. IDK if the Pr(P) is the probability of a given value of P, or the probability density of a given vlue of P. AaAAAAAAAA
#Math #Maths #Physics #Nerd #DorkWeb #Nerds #Geek #GeekGyaru #QM #QuantumMechanics #QuantumPhysics #QuantisedMechanics #QuantisedPhysics #ItJustMeansWaves #WavesEverywhere #WeAreAllWaves
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You ever just
https://archive.org/details/MIT8.04S13/MIT8_04S13_lec04_300k.mp4My alt text might be very wrong. IDK if the Pr(P) is the probability of a given value of P, or the probability density of a given vlue of P. AaAAAAAAAA
#Math #Maths #Physics #Nerd #DorkWeb #Nerds #Geek #GeekGyaru #QM #QuantumMechanics #QuantumPhysics #QuantisedMechanics #QuantisedPhysics #ItJustMeansWaves #WavesEverywhere #WeAreAllWaves
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You ever just
https://archive.org/details/MIT8.04S13/MIT8_04S13_lec04_300k.mp4My alt text might be very wrong. IDK if the Pr(P) is the probability of a given value of P, or the probability density of a given vlue of P. AaAAAAAAAA
#Math #Maths #Physics #Nerd #DorkWeb #Nerds #Geek #GeekGyaru #QM #QuantumMechanics #QuantumPhysics #QuantisedMechanics #QuantisedPhysics #ItJustMeansWaves #WavesEverywhere #WeAreAllWaves
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Massive black holes drag and warp the spacetime around them in extreme ways. Observing these effects firsthand is practically impossible, so physicists look for laboratory-sized analogs that behave similarly. Fluids offer one such avenue, since fluid dynamics mimics gravity if the fluid viscosity is low enough. To chase that near-zero viscosity, experimentalists turned to superfluid helium, a version of liquid helium near absolute zero that flows with virtually no viscosity. At these temperatures, vorticity in the helium shows up as quantized vortices. Normally, these tiny individual vortices repel one another, but a spinning propeller — much like the blades of a blender — draws tens of thousands of these vortices together into a giant quantum vortex.
Here superfluid helium whirls in a quantum vortex.With that much concentrated vorticity, the team saw interactions between waves and the vortex surface that directly mirrored those seen in black holes. In particular, they detail bound states and black-hole-like ringdown phenomena. Now that the apparatus is up and running, they hope to delve deeper into the mechanics of their faux-black holes. (Image credit: L. Solidoro; research credit: P. Švančara et al.; via Physics World)
https://fyfluiddynamics.com/2024/05/black-holes-in-a-blender/
#astrophysics #blackHole #fluidDynamics #physics #quantumVortex #science #superfluid #superfluidHelium #vortices #vorticity
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Massive black holes drag and warp the spacetime around them in extreme ways. Observing these effects firsthand is practically impossible, so physicists look for laboratory-sized analogs that behave similarly. Fluids offer one such avenue, since fluid dynamics mimics gravity if the fluid viscosity is low enough. To chase that near-zero viscosity, experimentalists turned to superfluid helium, a version of liquid helium near absolute zero that flows with virtually no viscosity. At these temperatures, vorticity in the helium shows up as quantized vortices. Normally, these tiny individual vortices repel one another, but a spinning propeller — much like the blades of a blender — draws tens of thousands of these vortices together into a giant quantum vortex.
Here superfluid helium whirls in a quantum vortex.With that much concentrated vorticity, the team saw interactions between waves and the vortex surface that directly mirrored those seen in black holes. In particular, they detail bound states and black-hole-like ringdown phenomena. Now that the apparatus is up and running, they hope to delve deeper into the mechanics of their faux-black holes. (Image credit: L. Solidoro; research credit: P. Švančara et al.; via Physics World)
https://fyfluiddynamics.com/2024/05/black-holes-in-a-blender/
#astrophysics #blackHole #fluidDynamics #physics #quantumVortex #science #superfluid #superfluidHelium #vortices #vorticity
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Massive black holes drag and warp the spacetime around them in extreme ways. Observing these effects firsthand is practically impossible, so physicists look for laboratory-sized analogs that behave similarly. Fluids offer one such avenue, since fluid dynamics mimics gravity if the fluid viscosity is low enough. To chase that near-zero viscosity, experimentalists turned to superfluid helium, a version of liquid helium near absolute zero that flows with virtually no viscosity. At these temperatures, vorticity in the helium shows up as quantized vortices. Normally, these tiny individual vortices repel one another, but a spinning propeller — much like the blades of a blender — draws tens of thousands of these vortices together into a giant quantum vortex.
Here superfluid helium whirls in a quantum vortex.With that much concentrated vorticity, the team saw interactions between waves and the vortex surface that directly mirrored those seen in black holes. In particular, they detail bound states and black-hole-like ringdown phenomena. Now that the apparatus is up and running, they hope to delve deeper into the mechanics of their faux-black holes. (Image credit: L. Solidoro; research credit: P. Švančara et al.; via Physics World)
https://fyfluiddynamics.com/2024/05/black-holes-in-a-blender/
#astrophysics #blackHole #fluidDynamics #physics #quantumVortex #science #superfluid #superfluidHelium #vortices #vorticity
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Massive black holes drag and warp the spacetime around them in extreme ways. Observing these effects firsthand is practically impossible, so physicists look for laboratory-sized analogs that behave similarly. Fluids offer one such avenue, since fluid dynamics mimics gravity if the fluid viscosity is low enough. To chase that near-zero viscosity, experimentalists turned to superfluid helium, a version of liquid helium near absolute zero that flows with virtually no viscosity. At these temperatures, vorticity in the helium shows up as quantized vortices. Normally, these tiny individual vortices repel one another, but a spinning propeller — much like the blades of a blender — draws tens of thousands of these vortices together into a giant quantum vortex.
Here superfluid helium whirls in a quantum vortex.With that much concentrated vorticity, the team saw interactions between waves and the vortex surface that directly mirrored those seen in black holes. In particular, they detail bound states and black-hole-like ringdown phenomena. Now that the apparatus is up and running, they hope to delve deeper into the mechanics of their faux-black holes. (Image credit: L. Solidoro; research credit: P. Švančara et al.; via Physics World)
https://fyfluiddynamics.com/2024/05/black-holes-in-a-blender/
#astrophysics #blackHole #fluidDynamics #physics #quantumVortex #science #superfluid #superfluidHelium #vortices #vorticity
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Mô hình Sarashina-2-7B (Softbank) chuyên về tiếng Nhật đã có bản lượng tử 4-bit!
- Giảm kích thước từ 14GB xuống 4.7GB, giảm chất lượng 2.3%.
#AI #LLM #NLP #Japan #trituenhantao #ngonngu #nhatbanhttps://www.reddit.com/r/LocalLLaMA/comments/1nz9v8o/the_only_quantized_sarashina27b_using_awq/
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New #review today: "In my review of their earlier release, The Call of a Crumbling World, I mentioned that it would be the first of a series of #InclusionPrinciple recordings scheduled for release in 2025; now a few months later, Clarino Oscura and Quantised Entanglement are out, and they couldn’t be more different from one another." #ExposeOnline #ImprovisedMusic #AvantGarde http://expose.org/index.php/articles/display/inclusion-principle-clarino-oscura-3.html
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MakeUseOf: I now use this offline AI assistant instead of cloud chatbots. “I’ve been using cloud-based chatbots for a long time now. Since large language models require serious computing power to run, they were basically the only option. But with LM Studio and quantized LLMs, I can now run decent models offline using the hardware I already own. What started as curiosity about local AI has […]