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venerdì 20 giugno 2025

# life: Ozzy's unexpected, on the air, sweet gift to future generations; 'Clone Me, You Bastards'

<< Yes, we really got the Prince of Darkness to drink from 10 cans of our low-calorie Iced Tea. And yes, he actually crushed each can himself. In the process, he left behind trace DNA from his saliva that you can now own. He even hand-signed each packaging label. >>

<< Now, when technology and federal law permits, you’ll be able to replicate Ozzy Osbourne and enjoy him for hundreds of years into the future. But you better hurry, there are only 10 Infinitely Recyclable Ozzy cans available to buy here:   https://liquiddeath.com/en-it/pages/ozzy >>

Buy Ozzy Osbourne's DNA From Liquid Death. youtube.com. Jun 17, 2025.

   << 
  Flavors
● Sweet Reaper.
● Blueberry Buzzsaw.
● Slaughter Berry.
● Green Guillotine.
● Dead Billionaire.
● Rest In Peach.
   >>


<< The Prince of Darkness is teaming up with Liquid Death to sell empty iced tea cans he's drank from. >>

Marina Watts. Ozzy Osbourne Sells His DNA on Liquid Death Cans for the Low Price of $450: 'Clone Me, You Bastards'. People. Jun 18, 2025. 


Also: saliva, are you ready, in https://www.inkgmr.net/kwrds.html 

Also: a different way to approach cloning: exponential post-Donald (without Donald), how AI could interfere (drive) next political elections. FonT. May 9, 2023.   https://flashontrack.blogspot.com/2023/05/life-exponential-post-donald-without.html


Keywords: life, saliva, human cloning, are you ready

sabato 14 giugno 2025

# aibot: noise balance and stationary distribution of stochastic gradient descent.


<< The stochastic gradient descent (SGD) algorithm is the algorithm (is used) to train neural networks. However, it remains poorly understood how the SGD navigates the highly nonlinear and degenerate loss landscape of a neural network. >>

<< In this work, (AA) show that the minibatch noise of SGD regularizes the solution towards a noise-balanced solution whenever the loss function contains a rescaling parameter symmetry. Because the difference between a simple diffusion process and SGD dynamics is the most significant when symmetries are present, (AA) theory implies that the loss function symmetries constitute an essential probe of how SGD works. (They) then apply this result to derive the stationary distribution of stochastic gradient flow for a diagonal linear network with arbitrary depth and width. >>

<< The stationary distribution exhibits complicated nonlinear phenomena such as phase transitions, broken ergodicity, and fluctuation inversion. These phenomena are shown to exist uniquely in deep networks, implying a fundamental difference between deep and shallow models. >>

Liu Ziyin, Hongchao Li, Masahito Ueda. Noise balance and stationary distribution of stochastic gradient descent. Phys. Rev. E 111, 065303. Jun 6, 2025.

Also: ai (artificial intell) (bot), network, noise, disorder & fluctuations, in https://www.inkgmr.net/kwrds.html 

Keywords: ai, artificial intelligence, noise, stochasticity, networks, neural networks, deep learning,stochastic gradient descent (SGD), transitions, phase transitions, broken ergodicity, fluctuation inversion

sabato 31 maggio 2025

# life: oops! Artificial intelligence (AI) could use your data to blackmail you if you try to disconnect it

<< Anthropic released the next iterations of its Claude AI models on Thursday. Artificial intelligence (AI) firm Anthropic says testing of its new system revealed it is sometimes willing to pursue "extremely harmful actions" such as attempting to blackmail engineers who say they will remove it. >>

<< The firm launched Claude Opus 4 on Thursday, saying it set "new standards for coding, advanced reasoning, and AI agents." >>

<< But in an accompanying report, it also acknowledged the AI model was capable of "extreme actions" if it thought its "self-preservation" was threatened. >>

<< Potentially troubling behaviour by AI models is not restricted to Anthropic. >>

<< Commenting on X, Aengus Lynch - who describes himself on LinkedIn as an AI safety researcher at Anthropic - wrote: "It's not just Claude. >>

Liv McMahon. AI system resorts to blackmail if told it will be removed. BBC. May 23, 2025.

Also: "qui non e' impossibile immaginare",  in: anomalous formation of molecules after vapor deposition. FonT. Dec 31, 2015.

Also: ai (artificial intell), oops, are you ready, in https://www.inkgmr.net/kwrds.html 

Keywords: life, oops, AI, artificial intelligence, high-agency behavior, self-preservation, sycophantic AI, blackmail, opportunistic blackmail, extreme blackmail behavior, are you ready.

sabato 17 maggio 2025

# life: Balzac's world revisited

<< In a recent study picked up in the French press, the academic Mélanie Plouviez cites one of her country’s best-loved novelists to make a damning point. The power of inherited and unearned wealth in the France of 2025, she argues, replicates the social injustices found in Honoré de Balzac’s 19th-century chronicles of ambition and despair. As in the 1820s, she writes, “Who now could buy a place in Paris relying only on their wage and without family help? With the resurgence of inherited wealth, a gulf between what work allows and inheritance allows has also returned.” >>

<< The problem is a sadly familiar one across Europe, and the same observation could be made of Britain, Germany or Italy. >>

Editorial. The Guardian view on Europe’s growing wealth divide: back to the world of Balzac. A new study highlights the dangers of a modern rentier capitalism that perpetuates inequality through the generations. The Guardian. Thu 15 May 2025 19.25 CEST.

Also: oops! AI - artificial intelligence - now beats humans at basic tasks. FonT. Apr 17, 2024. 

Also: ai (artificial intell) (bot), in https://www.inkgmr.net/kwrds.html 

Keywords: life, ai, artificial intelligence, bot, income, ubi, unconditional basic income

Font: here is an intriguing question: who knows what any State will ask of individual citizens in exchange for the essential Citizenship allowance (e.g.Unconditional Basic Income, UBI), an allowance that it will have to give to the entire population to stabilize the survival of any community.

lunedì 28 aprile 2025

# life: trace the rise and fall of inequality in China (over 5,000 years)

<< The rise and fall of inequality in the west has been studied in detail by eminent economists such as Simon Kuznets and Thomas Piketty. But China offers a chance to go much further back in time, having maintained a unified identity and unique language for more than 5,000 years – as well as some extraordinarily detailed dynastic archives. >>

<< Using these, a team of economists including the author of (Their) latest Insights long read, Peng Zhou from Cardiff University, set out to trace the impact of technological advances – from the revolutionary iron plough to block printing and imperial exams – on inequality in China’s imperial dynasties spanning two millennia. >>

<< Their conclusions have some fascinating implications for today’s technological panic over the rise of AI. As we stand at the edge of this latest technological cliff, history whispers: “Calm down. You’ve been here before.” >>

Mike Herd. The Daily. theconversation.com. UK Edition. Apr 25, 2025.

Peng Zhou. What 2,000 years of Chinese history reveals about today’s AI-driven technology panic – and the future of inequality. theconversation.com. Apr 24, 2025.

Also: Are you ready for all this?  in https://www.inkgmr.net/kwrds.html 

Keywords: life, oops, are you ready for all this

venerdì 25 aprile 2025

# life: Trump-Musk, an evolution of the mjq model, one of the two attractors is a phantom entity

<< Elon Musk may be easing off his role at the Department of Government Efficiency (DOGE ), but President Donald Trump isn't easing off his praise. >>

<< On Wednesday, Trump praised Musk's smarts and patriotism during an executive order signing in the Oval Office, brushing off critics and defending the tech mogul’s work on federal reform. >>

<< "He’s an incredible… brilliant guy," Trump said. "He was a tremendous help both in the campaign, and in what he's done with DOGE." >>

<< DOGE, launched in 2025, has served as a hallmark of Trump’s second-term agenda to cut waste, streamline federal agencies, and apply private sector principles to federal operations. >>

Jasmine Baehr. Trump praises Elon Musk as ‘patriot, a brilliant guy, and a friend of mine’ amid DOGE exit. Foxnews.com. Apr23, 2025 10:43pm EDT.
https://www.foxnews.com/politics/trump-praises-elon-musk-patriot-brilliant-guy-friend-mine-amid-doge-exit

mjq in Notes (quasi-stochastic poetry) attrattore cooperativo bipolare (nell' elastici spigoli). March 05, 2007.

Also: (Perpetual post-Donald, implemented in an artificial intelligence machine). Exponential post-Donald (without Donald), how AI could interfere (drive) next political elections. FonT. May 9, 2023.

Also: Mr. Donald, artificial intell, jazz, in https://www.inkgmr.net/kwrds.html 

Keywords: life, mjq, jazz, Donald, ai, artificial intelligence

lunedì 7 aprile 2025

# life: detecting hallucinations (in large language models) using semantic entropy.

<< Large language model (LLM) systems, such as ChatGPT or Gemini, can show impressive reasoning and question-answering capabilities but often ‘hallucinate’ false outputs and unsubstantiated answers. >>

<< Here (AA) develop new methods grounded in statistics, proposing entropy-based uncertainty estimators for LLMs to detect a subset of hallucinations— confabulations— which are arbitrary and incorrect generations. (Their) method addresses the fact that one idea can be expressed in many ways by computing uncertainty at the level of meaning rather than specific sequences of words. >>

Their method << works across datasets and tasks without a priori knowledge of the task, requires no task-specific data and robustly generalizes to new tasks not seen before. By detecting when a prompt is likely to produce a confabulation, helps users understand when they must take extra care with LLMs and opens up new possibilities for using LLMs that are otherwise prevented by their unreliability. >>️️

Sebastian Farquhar, Jannik Kossen, et al. Detecting hallucinations in large language models using semantic entropy. Nature 630, 625–630. Jun 19, 2024.

Also: ai (artificial intell) (bot), entropy, in https://www.inkgmr.net/kwrds.html 

Keywords: life, artificial intelligence,  LLMs, confabulations, uncertainty, hallucinations, entropy, semantic entropy

giovedì 20 marzo 2025

# aibot: I think, therefore I hallucinate: minds, machines, and the art of being wrong.

<< This theoretical work examines 'hallucinations' in both human cognition and large language models, comparing how each system can produce perceptions or outputs that deviate from reality. Drawing on neuroscience and machine learning research, (AA) highlight the predictive processes that underlie human and artificial thought. >>

<< In humans, complex neural mechanisms interpret sensory information under uncertainty, sometimes filling in gaps and creating false perceptions. This inference occurs hierarchically: higher cortical levels send top-down predictions to lower-level regions, while mismatches (prediction errors) propagate upward to refine the model. LLMs, in contrast, rely on auto-regressive modeling of text and can generate erroneous statements in the absence of robust grounding. >>

<< Despite these different foundations - biological versus computational - the similarities in their predictive architectures help explain why hallucinations occur. (AA) propose that the propensity to generate incorrect or confabulated responses may be an inherent feature of advanced intelligence. In both humans and AI, adaptive predictive processes aim to make sense of incomplete information and anticipate future states, fostering creativity and flexibility, but also introducing the risk of errors. (Their) analysis illuminates how factors such as feedback, grounding, and error correction affect the likelihood of 'being wrong' in each system. (AA) suggest that mitigating AI hallucinations (e.g., through improved training, post-processing, or knowledge-grounding methods) may also shed light on human cognitive processes, revealing how error-prone predictions can be harnessed for innovation without compromising reliability. By exploring these converging and divergent mechanisms, the paper underscores the broader implications for advancing both AI reliability and scientific understanding of human thought. >>️

Sebastian Barros. I Think, Therefore I Hallucinate: Minds, Machines, and the Art of Being Wrong. arXiv: 2503.05806v1 [q-bio.NC]. 4 Mar 4, 2025.

Also: brain, curiosity, novelty, uncertainty, error, mistake, jazz, ai (artificial intell), in https://www.inkgmr.net/kwrds.html 

Keywords: brain, cognition, perceptions, curiosity, novelty, hallucinations, errors, prediction, prediction errors, error-prone predictions, AI, artificial intelligence, LLMs

martedì 18 marzo 2025

# qubit: stability of classical shadows under gate-dependent noise

<< Expectation values of observables are routinely estimated using so-called classical shadows—the outcomes of randomized bases measurements on a repeatedly prepared quantum state. In order to trust the accuracy of shadow estimation in practice, it is crucial to understand the behavior of the estimators under realistic noise. >>

<< In this Letter, (AA) prove that any shadow estimation protocol involving Clifford unitaries is stable under gate-dependent noise for observables with bounded stabilizer norm—originally introduced in the context of simulating Clifford circuits. In contrast, (They) demonstrate with concrete examples that estimation of “magic” observables can lead to highly misleading results in the presence of miscalibration errors and a worst case bias scaling exponentially in the system size. >>

AA << further find that so-called robust shadows, aiming at mitigating noise, can introduce a large bias in the presence of gate-dependent noise compared to unmitigated classical shadows. Nevertheless, (AA) guarantee the functioning of robust shadows for a more general noise setting than in previous works. On a technical level, (They) identify average noise channels that affect shadow estimators and allow for a more fine-grained control of noise-induced biases. >>️

Raphael Brieger, Markus Heinrich, et al. Stability of Classical Shadows under Gate-Dependent Noise. Phys. Rev. Lett. 134, 090801. Mar 4, 2025. 

Also: qubit, in FonT  https://flashontrack.blogspot.com/search?q=qubit  noise, ai (artificial intell) (bot), in https://www.inkgmr.net/kwrds.html   

Keywords: qubit, noise, realistic noise, shadows, robust shadows


giovedì 6 febbraio 2025

# life: chameleon machines

<< Large language model-based (LLM-based) agents have become common in settings that include non-cooperative parties. In such settings, agents' decision-making needs to conceal information from their adversaries, reveal information to their cooperators, and infer information to identify the other agents' characteristics. To investigate whether LLMs have these information control and decision-making capabilities, (AA) make LLM agents play the language-based hidden-identity game, The Chameleon. >>️

<< Based on the empirical results and theoretical analysis of different strategies, (AA) deduce that LLM-based non-chameleon agents reveal excessive information to agents of unknown identities. (Their) results point to a weakness of contemporary LLMs, including GPT-4, GPT-4o, Gemini 1.5, and Claude 3.5 Sonnet, in strategic interactions. >>
Mustafa O. Karabag, Ufuk Topcu. Do LLMs Strategically Reveal, Conceal, and Infer Information? A Theoretical and Empirical Analysis in The Chameleon Game. arXiv: 2501.19398v1 [cs.AI]. Jan 31, 2025.

Also: games, ai (artificial intell), nfulaw, in https://www.inkgmr.net/kwrds.html 

Keywords: life, games, chameleon game, ai, artificial intelligence, LLMs, privacy, nfulaw


sabato 25 gennaio 2025

# life: the Age of hallucinatory artificial intelligence (AI); the beginning.

<< It’s well known that all kinds of generative AI, including the large language models (LLMs) behind AI chatbots, make things up. This is both a strength and a weakness. It’s the reason for their celebrated inventive capacity, but it also means they sometimes blur truth and fiction, inserting incorrect details into apparently factual sentences. >>

<< They sound like politicians, they tend to make up stuff and be totally confident no matter what. >> Santosh Vempala. ️

<< Chatbots err for many reasons, but computer scientists tend to refer to all such blips as hallucinations. It’s a term not universally accepted, with some suggesting ‘confabulations’ or, more simply, ‘bullshit’. The phenomenon has captured so much attention that the website Dictionary.com picked ‘hallucinate’ as its word of the year for 2023. >>️

<< Because AI hallucinations are fundamental to how LLMs work, researchers say that eliminating them completely is impossible. >>️

Nicola Jones. AI hallucinations can’t be stopped — but these techniques can limit their damage. Nature. 637, 778-780. Jan 21,  2025. 

Also: ai (artificial intell) (bot), nfulaw, in https://www.inkgmr.net/kwrds.html 

Keywords: life, ai, artificial intell, LLMs, bot, nfulaw


venerdì 17 gennaio 2025

# gst: diffusion of active particles driven by odd interactions.

<< Odd systems do not conserve energy, violate time-reversal symmetry, and remain far from equilibrium. How odd interactions between particles affect their diffusion remains unknown. >>

<< To investigate this issue, (AA) studied the diffusion and glass transition of a two-dimensional Kob-Andersen mixture, where Brownian particles interact via the Lennard-Jones potential and nonconservative odd forces. (Their) findings indicate a significant influence of odd interactions on the system's diffusion dynamics. Odd interactions always promote diffusion. These interactions lead to a nonmonotonic relationship between the effective diffusion coefficient and particle number density. >>

<< Specifically, in systems with low oddness, the diffusion coefficient decreases steadily with increasing particle number density. Conversely, in systems with moderate oddness, an optimal particle number density exists that maximizes the diffusion coefficient. For systems with high oddness, (AA) observe two distinct peaks in the diffusion coefficient-particle number density relationship. >>

<< Furthermore, (AA) investigation into the glass transition under dense conditions reveals that adjusting the oddness at low temperatures can induce a transition from a glassy state to a liquid state. >>

Rui-xue Guo, Jia-jian Li, Bao-quan Ai.
Diffusion of active particles driven by odd interactions. Phys. Rev. E 111, 014105. Jan 3, 2025.


Keywords: gst, particles, diffusion, 
active brownian particles, oddness, odd interactions


venerdì 13 dicembre 2024

# game: balance exploration and exploitation, making decisions cooperatively without sharing information.


<< Multiagent reinforcement learning (MARL) studies crucial principles that are applicable to a variety of fields, including wireless networking and autonomous driving. (AA) propose a photonic-based decision-making algorithm to address one of the most fundamental problems in MARL, called the competitive multiarmed bandit (CMAB) problem. >>

AA << demonstrate that chaotic oscillations and cluster synchronization of optically coupled lasers, along with (their) proposed decentralized coupling adjustment, efficiently balance exploration and exploitation while facilitating cooperative decision making without explicitly sharing information among agents. >>

AA << study demonstrates how decentralized reinforcement learning can be achieved by exploiting complex physical processes controlled by simple algorithms. >>

Shun Kotoku, Takatomo Mihana, et al. Decentralized multiagent reinforcement learning algorithm using a cluster-synchronized laser network. Phys. Rev. E 110, 064212. Dec 11, 2024.


Also: game, chaos, ai (artificial intell), in https://www.inkgmr.net/kwrds.html 

Keywords: game, cooperation, chaos, exploration, exploitation, ai, artificial intelligence, MARL, CMAB.


venerdì 22 novembre 2024

# gst: protected chaos in a topological lattice.

<< The erratic nature of chaotic behavior is thought to erode the stability of periodic behavior, including topological oscillations. However, (AA) discover that in the presence of chaos, non-trivial topology not only endures but also provides robust protection to chaotic dynamics within a topological lattice hosting non-linear oscillators. >>

<< Despite the difficulty in defining topological invariants in non-linear settings, non-trivial topological robustness still persists in the parametric state of chaotic boundary oscillations. (AA) demonstrate this interplay between chaos and topology by incorporating chaotic Chua's circuits into a topological Su-Schrieffer-Heeger (SSH) circuit. >>

<< By extrapolating from the linear limit to deep into the non-linear regime, (AA) find that distinctive correlations in the bulk and edge scroll dynamics effectively capture the topological origin of the protected chaos. (Their)  findings suggest that topologically protected chaos can be robustly achieved across a broad spectrum of periodically-driven systems, thereby offering new avenues for the design of resilient and adaptable non-linear networks. >>️

Haydar Sahin, Hakan Akgün, et al. Protected chaos in a topological lattice. arXiv: 2411.07522v1 [cond-mat.mes-hall]. Nov 12, 2024.

Also: chaos, random, instability, transition, network, ai (artificial intell), in https://www.inkgmr.net/kwrds.html 

Keywords: gst, chaos, random,  instability, transition, network, AI, Artificial Intelligence


venerdì 25 ottobre 2024

# life: fast-and-flexible decision-making with modulatory interactions


<< Multi-agent systems in biology, society, and engineering are capable of making decisions through the dynamic interaction of their elements. Nonlinearity of the interactions is key for the speed, robustness, and flexibility of multi-agent decision-making. >>

AA << introduce modulatory, that is, multiplicative, in contrast to additive, interactions in a nonlinear opinion dynamics model of fast-and-flexible decision-making. (..) Modulatory interactions introduce an extra source of nonlinearity that greatly enriches the model decision-making behavior in a mathematically tractable way. >>

AA << model provides new tools to understand the role of these interactions in networked decision-making and to engineer them in artificial systems. >>

Rodrigo Moreno-Morton, Anastasia Bizyaeva, et al. Fast-and-flexible decision-making with modulatory interactions. arXiv: 2410.00798v1 [math.DS]. Oct 1, 2024.

Also: behav, network, ai (artificial intell), in https://www.inkgmr.net/kwrds.html 

Keywords: life, decision-making, modulatory interactions, behavior, behaviour, network, ai, artificial intelligence


mercoledì 16 ottobre 2024

# life: Future You

<< AI simulation gives people a glimpse of their potential future self. By enabling users to chat with an older version of themselves, Future You is aimed at reducing anxiety and guiding young people to make better choices. >>️

<< Have you ever wanted to travel through time to see what your future self might be like? Now, thanks to the power of generative AI, you can. >>️

Adam Zewe. AI simulation gives people a glimpse of their potential future self. MIT News. Oct 1, 2024.

Pat Pataranutaporn, Kavin Winson, et al. Future You: A Conversation with an AI-Generated Future Self Reduces Anxiety, Negative Emotions, and Increases Future Self-Continuity. arXiv: 2405.12514v4 [cs.HC]. Oct 1, 2024. 


Also: ai (artificial intell), are you ready for all this?  in https://www.inkgmr.net/kwrds.html 

Keywords: life, ai, artificial intelligence, are you ready for all this


sabato 5 ottobre 2024

# brain: time delay in 'reservoir brain' as a reservoir network, a hypothesis


<< Both the predictive power and the memory storage capability of an artificial neural network called a reservoir computer increase when time delays are added into how the network processes signals, according to a new model. >>️

<< They also suggest that incorporating time delays could offer advantages to living neural networks (such as those found in human and animal brains). Such a finding would be tantalizing, as time delays are known to decrease performance in living systems. For example, for a baseball player facing an oncoming ball, a longer time delay between perception and action (which is learned from experience) will decrease the likelihood they hit a home run. Are there instead cases in which time delays increase an organism’s ability to perform some task? Has evolution shaped our brains, which could perhaps be thought of as a collection of reservoir computers, so that the time delay between one neuron sending a signal and a second receiving it is exactly the right length for understanding the visual and audio that constantly impinge upon our eyes and ears? Does adding time delays impact the number of neurons the brain needs to operate correctly? Further work is needed to answer these questions, but such work could lead to a new understanding of how biological organism’s function.  >>️

Sarah Marzen. Time Delays Improve Performance of Certain Neural Networks. Physics 17, 111. July 22, 2024. 

Also: pause, silence, jazz, network, brain, ai (artificial intell), in https://www.inkgmr.net/kwrds.html 

Keywords: gst, brain, network, neural network, reservoir network, reservoir computer, time delay, ai, artificial intelligence


venerdì 27 settembre 2024

# life: anyone could now run small AIs privately on their laptops

<< Artificial-intelligence models are typically used online, but a host of openly available tools is changing that. Here’s how to get started with local AIs. >>️

Matthew Hutson. Forget ChatGPT: why researchers now run small AIs on their laptops. Nature 633, 728-729 (2024). Sep 16, 2024. Correction: Sep 24,  2024. 

Also: ai (artificial intell), Donald, in https://www.inkgmr.net/kwrds.html 

Keywords: gst, ai, artificial intelligence, life, Donald

FonT: In a completely bizarre hypothesis, with the right personal AI consultant, even a medieval history professor could be absolutely operational in other fields, for example in the agri-food sector (here we underline: absolutely).
In case of serious mistakes, the AI ​​entity can be held entirely responsible, or it can be blamed on an unfortunate malfunction due to hacking, anzicheforse. 

Also: << Asked if Strohschneider (Peter Strohschneider) wrote the report himself, the spokesperson said he “was able to propose language” for it and that a “limited number of staff” helped Strohschneider write it. >> Balazs Ujvari. 

Eddy Wax. Von der Leyen budgeted €149K to pay medieval history professor for farming report. Politico.eu. Sep 26, 2024 4:20 am CET. 


sabato 10 agosto 2024

# ai-bot: Cybloids − Creation and Control of Cybernetic Colloids.

FIG. 11. Particle clusters formed for different parameters of the feedback potential.

AA << present an idea to create particles with freely selectable properties. The properties might depend, for example, on the presence of other particles (hence mimicking specific pair or many-body interactions), previous configurations (hence introducing some memory or feedback), or a directional bias (hence changing the dynamics). Without directly interfering with the sample, each particle is fully controlled and can receive external commands through a predefined algorithm that can take into account any input parameters. This is realized with computer-controlled colloids, which (AA) term cybloids - short for cybernetic colloids. >>

<< For a single particle, this programming can cause subdiffusive behavior or lend activity. For many colloids, the programmed interaction potential allows to select a crystal structure at wish. Beyond these examples, (AA) discuss further opportunities which cybloids offer. >>️

Debasish Saha, Sonja Tarama, et al. Cybloids − Creation and Control of Cybernetic Colloids. arXiv: 2408.00336v1 [cond-mat.soft]. 

Also: ai (artificial intell), bot, colloids, in https://www.inkgmr.net/kwrds.html 

Keywords: AI, Artificial Intell, BOT, AI-BOT, colloids, cybernetic colloids, cybloids


sabato 3 agosto 2024

# behav: swarms and hybrids, an approach to create and control collective motions (on demand)

AA << demonstrate that it is possible to generate coordinated structures in collective behavior at desired moments with intended global patterns by fine-tuning an inter-agent interaction rule. (Their) strategy employs deep neural networks, obeying the laws of dynamics, to find interaction rules that command desired collective structures. The decomposition of interaction rules into distancing and aligning forces, expressed by polynomial series, facilitates the training of neural networks to propose desired interaction models. Presented examples include altering the mean radius and size of clusters in vortical swarms, timing of transitions from random to ordered states, and continuously shifting between typical modes of collective motions. This strategy can even be leveraged to superimpose collective modes, resulting in hitherto unexplored but highly practical hybrid collective patterns, such as protective security formations. >>

Dongjo Kim, Jeongsu Lee, Ho-Young Kim. Navigating the swarm: Deep neural networks command emergent behaviours. arXiv: 2407.11330v1 [cs.NE]. Jul 16, 2024.️

Also: swarm, flockbehav, AI (artificial intell), in https://www.inkgmr.net/kwrds.html 

Keywords: behav, swarm, flock, AI, artificial intelligence