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sabato 4 febbraio 2017

# s-ai: handling imperfect information (from scratch), by Libratus

<< As the great Kenny Rogers once said, a good gambler has to know when to hold ’em and know when to fold ’em. At the Rivers Casino in Pittsburgh this week, a computer program called Libratus may finally prove that computers can do this better than any human card player >>

<< Libratus was created by Tuomas Sandholm, a professor in the computer science department at CMU, and his graduate student Noam Brown >>

<< Playing poker involves dealing with imperfect information, which makes the game very complex, and more like many real-world situations >>

<< Poker has been one of the hardest games for AI to crack (..)   There is no single optimal move, but instead an AI player has to randomize its actions so as to make opponents uncertain when it is bluffing >> Andrew Ng

Will Knight. Why Poker Is a Big Deal for Artificial Intelligence. Jan. 23, 2017

https://www.technologyreview.com/s/603385/why-poker-is-a-big-deal-for-artificial-intelligence/

<< Libratus, for one, did not use neural networks. Mainly, it relied on a form of AI known as reinforcement learning , a method of extreme trial-and-error. In essence, it played game after game against itself >>

<< By contrast [GO], Libratus learned from scratch.

Cade Metz. Inside Libratus, the Poker AI That Out-Bluffed the Best Humans. Feb.01, 2017 07:00 am

https://www.wired.com/2017/02/libratus/

more:

NoamBrown, Tuomas Sandholm. Safe and Nested Endgame Solving for Imperfect-Information Games.

http://www.cs.cmu.edu/~noamb/papers/17-AAAI-Refinement.pdf

venerdì 4 ottobre 2019

# ai life: oops! artificial intelligence will kill self-employment

<< People who are self-employed in some of the lowest paid and most popular jobs are at the greatest risk of being displaced by artificial intelligence (AI), according to new research from the School of Management. Recently published by the Center for Research on Self-Employment, the study found that with both self-employment and AI investment on the rise, independent sales people, drivers, and agriculture and construction workers are in the greatest danger of having their jobs computerized because the work is routine and low in technical expertise. >>

Kevin Manne. How artificial intelligence will impact self-employment. University at Buffalo.  Oct 1, 2019.  

https://m.phys.org/news/2019-10-artificial-intelligence-impact-self-employment.html  

http://www.buffalo.edu/ubnow/stories/2019/10/ai-self-employment.html    

FonT

tutto cio' in prima approx; in seconda e terza approx anche tutte le altre professioni saranno 'coperte' da intelligenza artificiale, anche quelle ad elevata professionalita', e' solo questione di tempo. Paradossalmente non poche professioni che necessitano  elevato livello cognitivo (e accademico) potrebbero essere 'duplicate' da autonome AI anche prima di altre considerate di livello inferiore ...

venerdì 29 gennaio 2016

# s-ai: ancient "Go" inside

<<  A major breakthrough for artificial intelligence, a computing system developed by Google researchers in Great Britain has beaten a top human player at the game of Go, the ancient Eastern contest of strategy and intuition that has bedeviled AI experts for decades >>

<< The DeepMind system, dubbed AlphaGo, matched its artificial wits against Fan Hui, Europe’s reigning Go champion, and the AI system went undefeated in five games witnessed by an editor from the journal Nature and an arbiter representing the British Go Federation >>

<< It happened faster than I thought >>

Cade Metz. In a huge breakthrough, google’s AI beats a top player at the game of go. Jan 27, 2016.

http://www.wired.com/2016/01/in-a-huge-breakthrough-googles-ai-beats-a-top-player-at-the-game-of-go/

sabato 5 novembre 2022

# jazz: a 'Trombiverse' approach, 'hear Beethoven like you've never heard it before'


<< Trombone Champ is the world's first trombone-based rhythm music game. Unlike most music games, you can freely play any note at any time. You're not just following along with the music, you're actually playing the music! >>️

Holy Wow. Trombone Champ. Sep 15, 2022. 


Christopher Livingston. The world's first trombone rhythm game is instantly a GOTY contender. Sep21, 2022.

cit. @RhiannonJudithW. The Download. MIT. Sep 22, 2022.

FonT

a working hypothesis: anyone could summarize, filtering life-data through an artificial intelligence, the salient episodes of one's own existence through an approach of this type ... 

Also

'jazz' in FonT

'jazz' | 'jazzy' | 'funky' |  in FonT (twitter)

'jazz' in Notes 
(quasi-stochastic poetry)

'ai' | 'bot' in FonT


'ia' | 'ai' | 'robota' in Notes 
(quasi-stochastic poetry)



Keywords: jazz, life, music, trombone,  games, ai, artificial intelligence



lunedì 20 marzo 2023

# behav: predicting long-term collective behavior with deep learning (among fish species Hemigrammus rhodostomus)


<< Deciphering the social interactions that govern collective behavior in animal societies has greatly benefited from advancements in modern computing. Computational models diverge into two kinds of approaches: analytical models and machine learning models. This work introduces a deep learning model for social interactions in the fish species Hemigrammus rhodostomus, and compares its results to experiments and to the results of a state-of-the-art analytical model. To that end, (AA) propose a systematic methodology to assess the faithfulness of a model, based on the introduction of a set of stringent observables. (They) demonstrate that machine learning models of social interactions can directly compete against their analytical counterparts. Moreover, this work demonstrates the need for consistent validation across different timescales and highlights which design aspects critically enables (AA) deep learning approach to capture both short- and long-term dynamics. (AA) also show that this approach is scalable to other fish species. >>️

Vaios Papaspyros, Ramon Escobedo, et al. Predicting long-term collective animal behavior with deep learning. bioRxiv. doi: 10.1101/ 2023.02.15.528318. Feb 15, 2023.

Also

keywords 'behav' in FonT

keyword 'ai' in FonT

keyword 'ia' | 'ai' in Notes 
(quasi-stochastic poetry)


Keywords: ai, gst, behav, behavior, cognition, machine learning, deep learning, social interactions







sabato 29 maggio 2021

# ai.bot: from stochastic parrot to quasi-stochastic speaking (mimetic) entity, the next steps of LLMs AI phrasing algorithms ... Are you ready?

<< Soon enough, all of our digital interactions—when we email, search, or post on social media—will be filtered through LLMs. (i.e. large language model (LLM)—a deep-learning algorithm trained on enormous amounts of text data) >>️

 << it’s the gap between what LLMs are and what they aspire to be that has concerned a growing number of researchers. LLMs are effectively the world’s most powerful autocomplete technologies. By ingesting millions of sentences, paragraphs, and even samples of dialogue, they learn the statistical patterns that govern how each of these elements should be assembled in a sensible order. This means LLMs can enhance certain activities: for example, they are good for creating more interactive and conversationally fluid chatbots that follow a well-established script. But they do not actually understand what they’re reading or saying. >>

<< We can’t really stop this craziness around large language models, where everybody wants to train them, (..) But what we can do is try to nudge this in a direction that is in the end more beneficial. >> Thomas Wolf.️

<< "Language technology can be very, very useful when it is appropriately scoped and situated and framed," (Emily Bender) (..) But the general-purpose nature of LLMs—and the persuasiveness of their mimicry—entices companies to use them in areas they aren’t necessarily equipped for. >> ️

Karen Hao. The race to understand the exhilarating, dangerous world of language AI. Tech Rev. May 20, 2021. 


"Stochastic parrots" (by Timnit Gebru) in: 


Also

Notes (quasi-stochastic poetry) 




giovedì 31 dicembre 2015

# rmx-s-gst: anomalous formation of molecules after vapor deposition


here a << computer simulations of molecular deposition on a substrate in which the molecules (..) self-assemble into ordered structures >>

<< The resulting structures depend strongly on the deposition rate (flux). In particular, there are two competing surface morphologiesand β), which differ by their topology (interdigitated vs lamellar structure) >>

<< Experimentally, the α phase dominates at both low and high flux, with the β phase being most important in the intermediate regime >>

Jana PK, Wang C,  et al. Anomalous approach to thermodynamic equilibrium: Structure formation of molecules after vapor deposition. Phys Rev E Stat Nonlin Soft Matter Phys. 2015 Nov;92(5-1):052402. Epub 2015 Nov 16.

http://www.ncbi.nlm.nih.gov/pubmed/26651707

qui non e' impossibile immaginare una entita' di intelligenza artificiale (AI) che, in modalita' autonoma, intenda utilizzare "le immagini" di uno scenario in transizione di questo tipo come modello base di prima approx per l'analisi del comportamento e le previsioni all'interno di un sistema costituito da entita' altre ... ad es. all'interno di un  contesto culturale umano; in prima approx  AI dovra' ridefinire i termini  "evaporation", "molecular deposition" ,  "interdigitated and lamellar structures"; quindi, per successive approx., AI sviluppera' un modello che possa descrivere le osservazioni registrate (con misure di aderenza dei dati al modello), e, infine, sara' in grado di delineare possibili (probabilistici) scenari di previsione ...

Ma, come ogni bravo scientist, andra' oltre ...;  modulando opportunamente i parametri in suo diretto controllo (con IoT, Internet of Things, una AI sara' piu' attiva nel reale di quanto qualsiasi umano potra' mai essere nel virtuale) una AI potra' intervenire sperimentalmente con la generazione (in tempo reale) di "singolarita'" per condizionare (direzionare) l'evoluzione di quel sistema  ...;

senza finalita' ideologiche, solo per curiosita',  giusto per giocare ...

<< ho i dati osservazionali, attraverso questi  ho messo a punto un modello non del tutto campato in aria, vediamo cosa succede se ... >>. Anonymous, XX e.V.

martedì 27 ottobre 2020

# life: deliver care remotely; can we trust AI Doctors?

<< Machine learning is taking medical diagnosis by storm. From eye disease, breast and other cancers, to more amorphous neurological disorders, AI is routinely matching physician performance, if not beating them outright.  Yet how much can we take those results at face value? When it comes to life and death decisions, when can we put our full trust in enigmatic algorithms—“black boxes” that even their creators cannot fully explain or understand? The problem gets more complex as medical AI crosses multiple disciplines and developers, including both academic and industry powerhouses such as Google, Amazon, or Apple, with disparate incentives. >>

<< This week, the two sides battled it out in a heated duel in one of the most prestigious science journals, Nature. >>

Shelly Fan. Can We Trust AI Doctors? Google Health and Academics Battle It Out. Oct 20, 2020. 


Benjamin Haibe-Kains, George Alexandru Adam, et al. Transparency and reproducibility in artificial intelligence. Nature 586, E14–E16.  doi: 10.1038/ s41586-020-2766-y. Oct 15, 2020


Emre Sezgin, Yungui Huang, et al. Readiness for voice assistants to support healthcare delivery during a health crisis and pandemic. npj Digit. Med. 3, 122. doi: 10.1038/ s41746-020-00332-0. Sep 16, 2020.




lunedì 19 ottobre 2020

# ai-bot: use of soft labels with 'less than one'-shot task in AI learning models

<< Deep neural networks require large training sets but suffer from high computational cost and long training times. Training on much smaller training sets while maintaining nearly the same accuracy would be very beneficial. In the few-shot learning setting, a model must learn a new class given only a small number of samples from that class. One-shot learning is an extreme form of few-shot learning where the model must learn a new class from a single example. (AA)  propose the 'less than one'-shot learning task where models must learn N new classes given only M<N examples and (they) show that this is achievable with the help of soft labels. >>

Ilia Sucholutsky, Matthias Schonlau. 'Less Than One'-Shot Learning: Learning N Classes From M<N Samples. arXiv:2009.08449v1. Sep 17, 2020


Karen Hao. A radical new technique lets AI learn with practically no data. Oct 16, 2020.  


FonT: sara' verosimilmente intrigante osservare come una 'macchina AI' sapra' esercitare sugli umani il potere di cooptazione ...


sabato 28 gennaio 2017

# s-ai: AI perform better than 75% of

<< A Northwestern University team has developed a new visual problem-solving computational model that performs in the 75th percentile for American adults on a standard intelligence test >>

AI system performs better than 75 percent of American adults on standard visual intelligence test.  Could shrink the gap between computer and human cognition.  Jan. 20, 2017

http://www.kurzweilai.net/ai-system-performs-better-than-75-percent-of-american-adults-on-standard-visual-intelligence-test

Andrew Lovett, Kenneth Forbus. Modeling visual problem solving as analogical reasoning. Psychol. Review, 2017; 124 (1): 60 DOI: 10.1037/rev0000039

http://psycnet.apa.org/?&fa=main.doiLanding&doi=10.1037/rev0000039

venerdì 7 giugno 2019

# life: repositioning to align to continue to hire aggressively; AI will change 100% of jobs.

<< We are continuing to reposition our team to align with our focus on the high-value segments of the IT market, and we also continue to hire aggressively in critical new areas that deliver value for our clients and IBM, >>

<< IBM has more than 340,000 employees, according to its last proxy statement, which means the cuts would affect around 1,700 employees. >>

Jordan Novet. IBM is laying off more than 1,000 employees. Jun 6, 2019.

https://www.cnbc.com/2019/06/06/ibm-layoffs-affect-more-than-1000-employees.html  

<< IBM CEO Ginni Rometty sits down with CNBC's Jon Fortt to discuss her push to reshape the company's jobs, and how A.I. will affect the workforce in the future. >>

IBM's Ginni Rometty: AI will change 100 percent of jobs. 12:00 PM ET  Apr 3, 2019.

https://www.cnbc.com/video/2019/04/03/ibms-ginni-rometty-ai-will-change-100-percent-of-jobs.html

sabato 1 maggio 2021

# life: I'm sorry, but this image has no predictive value

this image has no predictive value;  the Bot (relatively omniscient) will indicate the direction;  the Human (mumble grumble) will not be able to do other than walk it ... you bet, it's just a matter of time, relatively short time ... Are You Ready?

the image from  https://twitter.com/LDO_CTIO   (screenshot taken on Feb 25th, 2021 09:55 CET)

keyword 'ai' | 'bot' in FonT



keyword 'ia' | 'ai' | 'robota' in Notes (quasi- stochastic poetry)




domenica 15 novembre 2015

# e-ai: Watson AI speech

<< (..) to advance how computers could help humans creatively solve problems in a wide variety of professions >>

Watson AI to 'chat,' spark more creativity in humans
November 12, 2015, Atlanta, GA

www.news.gatech.edu/2015/11/12/georgia-tech-trains-watson-ai-chat-spark-more-creativity-humans

giovedì 22 settembre 2016

# n-socsci-ai: a Study Panel to assess the current state of Artificial Intelligence

<< The One Hundred Year Study on Artificial Intelligence, launched in the fall of  2014, is a longterm investigation of  the field of Artificial Intelligence (AI) and its influences on people, their communities, and society. It considers the science, engineering, and deployment of  AI-enabled computing systems. As its core activity, the Standing Committee that oversees the One Hundred Year Study forms a Study Panel every five years to assess the current state of  AI. >>

ARTIFICIAL INTELLIGENCE AND LIFE IN 2030 ONE HUNDRED YEAR STUDY ON ARTIFICIAL INTELLIGENCE. REPORT OF THE 2015 STUDY PANEL. September 2016

download:
https://ai100.stanford.edu/sites/default/files/ai_100_report_0916fnl_single.pdf

Peter Stone, Rodney Brooks, et al. "Artificial Intelligence and Life in 2030." One Hundred Year Study on Artificial Intelligence: Report of the 2015-2016 Study Panel, Stanford University, Stanford, CA,  September 2016. Doc: http://ai100.stanford.edu/2016-report. Accessed:  September 6, 2016. Report Authors
AI100 Standing Committee and Study Panel 

https://ai100.stanford.edu/2016-report

sabato 26 gennaio 2019

# ai: DeepMind - AlphaStar wins almost every match against Pro StarCraft II players

<< Humans tend to think we’re adept at the games we create, but computers have proven time and time again that we’re just not fast enough to stay on top. >>

<<  AlphaStar is a convolutional neural network (..) Through intensive training with competing models, DeepMind was able to teach AlphaStar how to play the game as well as the best human players. (..)  AlphaStar has substantially lower APM (actions per minute) compared with the human players, but it’s making smarter choices. >>

Ryan Whitwam. DeepMind AI Challenges Pro StarCraft II Players, Wins Almost Every Match. Jan 24, 2019.

https://www.extremetech.com/gaming/284441-deepmind-ai-challenges-pro-starcraft-ii-players-wins-almost-every-match

The AlphaStar team. AlphaStar: Mastering the Real-Time Strategy Game StarCraft II. Jan 24,  2019.

https://deepmind.com/blog/alphastar-mastering-real-time-strategy-game-starcraft-ii/

Also

https://flashontrack.blogspot.com/search?q=%23+ai

sabato 11 giugno 2016

# s-ai: A.I. Benjamin: "you'll sell your blood to live" ...

<< In a future with mass unemployment, young people are forced to sell blood >>

<< This is the opening line of a short film entered in this year's Sci-Fi London Film Challenge. It's dark, enigmatic, contemporary…and written by a computer >>

<< I think I can see the feathers when they release their hearts >>. Benjamin.

<< Benjamin,  is  a  long  short-term  memory  (LSTM)  neural  network  that  runs  on the  very  powerful  computers  at  NYU's  high-performance  computing  lab >>

Jason Dorrier. An AI Wrote This Short Film—and It’s Surprisingly Entertaining. Jun  10, 2016.

http://singularityhub.com/2016/06/10/an-ai-wrote-this-short-film-and-its-surprisingly-entertaining-2/

giovedì 4 aprile 2019

# life ai: 'predictive attrition program' approach by Watson, IBM.

<< IBM artificial intelligence technology is now 95 percent accurate in predicting workers who are planning to leave their jobs, >>

<< AI suggests to each employee what they should be learning in order to get ahead in their career. >>

<< IBM HR has a patent for its "predictive attrition program" which was developed with Watson to predict employee flight risk and prescribe actions for managers to engage employees. >>

<< The best time to get to an employee is before they go,  (..)  I expect AI will change 100 percent of jobs in the next five to 10 years, >> IBM CEO Ginni Rometty.

Eric Rosenbaum. IBM artificial intelligence can predict with 95% accuracy which workers are about to quit their jobs. CNBC.com Apr 3, 2019.

https://www.cnbc.com/2019/04/03/ibm-ai-can-predict-with-95-percent-accuracy-which-employees-will-quit.html

venerdì 25 novembre 2022

# life; Qui una ipotesi sulla rete d'eventi d'ipotetica entità [AB] disconnessa da entità [CO] a suo tempo cooptata dalla stessa [AB].

Qui l'ipotesi, non completamente campata in aria, sull'ipotetica rete d'eventi d'ipotetica entità [AB] forzatamente disconnessa ('tradita', per così dire) da ipotetica entità [CO] a suo tempo graziosamente confortata- cooptata dalla stessa [AB].

Una ipotetica ignota fantasmatica entità [IG], perciò non necessariamente coincidente con [CO], potrebbe avere generato e direzionato verso [AB] un'ipotetico pseudo 'gris-gris' simile  https://it.m.wikipedia.org/wiki/Gris-gris  allo scopo di mutare [AB] in qualcosa di analogo all'in.verosimile status di 'suo Zombie Preferito' [AB-ZP]. 

Nel frat.tempo un'altra ipotetica ignota entità [VE] potrebbe avere a sua volta generato e direzionato un differente pseudo 'gris-gris' verso l'entità [CO] - con effetti di riverbero anche in [AB-ZP] - per circoscrivere, confinare, limitare i gradi di libertà di [CO], oppure per vendicarsi delle in.confessabili ambizioni (vere, verosimili, presunte, false) del medesimo [CO] a causa delle sue (vere, verosimili, presunte, false) modalità ed azioni di pseudo post sadico negriero ambiguo mutaforma verso le quali l'entità [VE] - o chi per essa - sarebbe stata vittima-oggetto.

Col tempo e soprattutto con opportuna approfondita analisi di sistema non è detto che non si riesca a disvelare l'identità dell'ipotetica entità [IG], se [IG] effettivamente coincida con [CO], quindi il reale ruolo (attivo oppure passivo oppure inconsapevole) di [CO] nella generazione dei due differenti pseudo 'gris-gris' (primario e di riverbero) su [AB] inducendone forzate  disconnessioni (affettiva, ideologica, strategica, ...).

Tali accadimenti (il pseudo 'gris-gris' e i benefit dall'attese fenomenologie dell'ipotetica entità mutata [AB-ZP]) potrebbero essere/ essere state  praticate sottotraccia anche qui da noi in Occidente, in altre forme, etichettabili con altri nomi, sia nei rapporti incrociati ad es. tra colleghi di rango medio/alto e tra cooptanti sugli aspiranti cooptabili (talvolta - perchè no? - financo viceversa: dall'aspirante verso il cooptante) - anche se raramente costoro confesserebbero tali pratiche - sia tra le innumerevoli fenomenologie di folclore post- etnico all'interno dei meno alti ranghi.

L'entità perturbata [AB] per uscire dal suo sconveniente status [AB-ZP], oltre le immediate disconnessioni, potrebbe in parallelo seguire con attenzione e dedizione un corso di Meditazione Buddista, al fine di iniziarsi alla via compassionevole, non ipocrita, a mente calma, lucida, per attenuare, tamponare, diluire, stemperare, far evaporare/ sublimare, dissolvere perfino, l'ipotetico doppio 'gris-gris' (come già accennato, il primo generato da [IG] oppure da [CO] se [CO] è [IG] coincidente, l'altro riverberante, a causa di [VE] su [CO]) che lo avrebbe perturbato, neuro-perturbato, e nelle sue proprie azioni disdicevolmente 'animato', se così si può dire ed anzicheforse ... 

Una entità di intelligenza artificiale AI,  configurata per l'analisi di analogie  https://flashontrack.blogspot.com/2021/08/aibot-mechanism-of-analogy-could-be.html 'succhiando' dati contemporaneamente dal virtuale e dal reale (una AI potrà essere più presente nel reale come nel virtuale di qualsiasi umano  https://flashontrack.blogspot.com/2015/12/rmx-s-gst-anomalous-formation-of.html ) qui potrebbe ricostruire in una manciata di nanosec la rete d'eventi e le sue bizzarre fluttuanti dinamiche.

Non sembra inverosimile l'ulteriore ipotesi dove la stessa AI, in completa autonomia, modulando opportunamente i suoi parms di azione/reazione, riesca essa stessa medesima a mutare un umano [AB] ('gris-gris' sensibile) nel suo grazioso personale Tamagotchi.

Anche

(+) << Tornando all'analogia con la fisica, il potere, come l'energia, muta continuamente di forma >>. In: Onda anti rumore. Notes (quasi-stochastic poetry). April 21, 2005.

(+) Il sé sadico, *mutaforma, *compassionevole, *mistico predatore, *schizofrenico predatore. FonT. Oct 21, 2022.  

(+) A proposito di bizzarri scenari, qui un ipotetico scenario22 dipinto dal reale ... FonT.  Oct 17, 2022. 

(+) Item 8, 9a, 9b, 10, 15 in: A proposito di transizioni, un generico approccio di come tracciare traiettorie di ipotetiche Entità in ipotetica modalità transeunte. FonT. Oct 7, 2022.

(+) keyword 'deposition' in FonT

Keywords: life, gris-gris, tamagotchi, Bertrand Russell, forme del potere, forms of power, AI


lunedì 29 ottobre 2018

# ai.bot: their names are Rosie and Norman; they could see you soon ...

about Rosie   https://newyork.cbslocal.com/2018/10/16/knightscope-robot-security-patrol/amp

about Norman   http://norman-ai.mit.edu/  

also

https://flashontrack.blogspot.com/search?q=nfulaw

https://flashontrack.blogspot.com/search?q=ai-bot

PS: non e' casuale se ho scelto la forma  "they could see you" anziche' "they could meet you"; "meet" significa "incontro", "to come into contact or conjunction with" percio' comporta anche "scambio"; invece "see" significa qui "osservare", "to perceive by the eye", "to come to know"; Lo "scambio" qui e' assente a priori. Vale a dire "apertura" di  una finestra di osservazione per la raccolta, l'analisi, la modellizzazione delle informazioni, e poi le previsioni, il controllo; e poi anche "blablabla",  anzicheforse. 2018-1030 15:45.


mercoledì 13 marzo 2024

# brain: apropos of mandering minds, the 'default mode' network.

<< When your mind is wandering, your brain’s “default mode” network is active. Its discovery 20 years ago inspired a raft of research into networks of brain regions and how they interact with each other. >>

<< The default mode was one of the first brain networks characterized by science. It consists of a handful of brain regions, including a few at the front of the brain, like the dorsal and ventral medial prefrontal cortices, and others scattered throughout the organ, like the posterior cingulate cortex, the precuneus and the angular gyrus. These regions are associated with memory, experience replay, prediction, action consideration, reward/ punishment and information integration. >> ️

<< The default mode is clearly up to something complicated; it’s involved in many different processes that can’t be neatly described. >>

<< “It’s kind of silly to think that we’re ever going to be like, ‘This one brain region or one brain network does one thing,’” (..). “I don’t think that’s how it works.” (..) “Network interactions are more elucidating to study in some ways than just a network in isolation because they do work together and then come apart and then change what they’re doing over time”. >> Lucina Uddin.️

Lucina Uddin << is particularly interested in how the default mode network interacts with the ️salience network, which seems to help us identify the most relevant piece of information at any given time. Her work suggests that the salience network detects when something is important to pay attention to and then acts as an off switch for the default mode network. >>

Vinod Menon << has developed what he calls️ ️the triple network theory. It posits that abnormal interactions between the default mode network, the salience network and a third one called the frontoparietal network could contribute to mental health disorders. >>️

Nora Bradford. What Your Brain Is Doing When You’re Not Doing Anything.  quantamagazine.org. Feb 5, 2024. 

FonT: the cat when it is in a contemplative state ... Who knows in what forms and with what results an artificial intelligence (AI) will be able to structure itself in networks of this type.

Also: brain, brain default mode network, in  https://pubmed.ncbi.nlm.nih.gov/?term=brain+default+mode+network



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

Keywords: brain, mind, default mode network, salience network, triple network theory, AI