#HumanMachine

[yellowmanula]

What is human-machine co-creativity? Let’s consider it through the lens of cognitive scientist Margaret Boden. Transformational creativity (as opposed to combinational creativity, which merely rearranges existing elements) involves the emergence of entirely new, hybridized and homogenous forms. The difference lies in creating a new epistemological quality rather than a collage of pre-existing parts. This kind of creativity becomes a breakthrough moment, especially when human and machine actions intersect within cultural production.

In other words, it clearly illustrates the innovative and non-canonical approach characteristic of live coding practices — where art meets science. Human-machine co-creativity assumes that the artistic and musical act would not reach its final form if either party acted independently. It's a genuine fusion of art and science, demonstrating their peaceful coexistence as a source of cultural productivity.

It also serves as a critique of purely utilitarian approaches in favor of thought improvisation — perhaps even an attempt to remove irrationality, while paradoxically giving rise to holistic and synthetic modes of thinking. Ultimately, live coding generates an intriguing tension between analytical and intuitive thought, allowing us to grasp the complexity of the creative act.

From my field notes, inspired by Gérard Assayag (Sciences and Technologies of Music and Sound) Ircam/CNRS Lab.

[dvktheartist]

The Creation of Artificial Adam

[techhypezone]

⚡ Touch the Future: Activate Your AI Power ⚡

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🚀 With just a tap, unlock a universe of possibilities powered by next-gen Artificial Intelligence. Whether you're a techie, visionary, or simply curious — this is the moment you’ve been waiting for. Don’t just watch the future… be the one who activates it. 🧠✨

🔗 Dive into the revolution: https://t.co/Ttddedmvoc

🔥 Don’t scroll past — your digital evolution starts HERE.

[nahidaahmed393]

Awakening the Future

Immerse yourself in the captivating world of artificial intelligence with this striking image. The face of a humanoid figure, adorned with intricate circuitry and glowing eyes, stands against a backdrop of a futuristic landscape. The interplay of light and shadow emphasizes the merging of human essence and technological advancement, evoking a sense of wonder about the future of consciousness and creation. This artwork invites viewers to reflect on the possibilities and challenges of a world where humanity and technology coexist

If you are interested, click on the link button

[miyasanchez7]

The traditional boundaries between humans and machines are blurring in an era marked by rapid technological advancements. That ideal society is also reflected in the book Angel of Mortality: Defender of Life by David W. Stewart. It centered around a necessary battle to save humanity from the creation of a powerful machine that is chaos incarnate. Readers will find themselves in a science fiction thriller of many sorts with encounters of xenoborgs – nanobots with artificial intelligence that evolved into efficient living machines...

[asdfint]

The submissions for #ICHMI2023 scheduled to happen at #India are now open. Visit https://asdf.events/ichmi/ for more details about the event and submission. #ASDFInt #HostedEvents #Conference #2023Conferences #Academic #Chennai #Event #HumanMachine #Interaction

[chauhanmanashpritam]

"Expectation is the mother of all frustration." - Antonio Banderas #humanmachine #slowcomputer #slowinternet #workfromhome https://www.instagram.com/p/CP2X3e5tjgC/?utm_medium=tumblr

[camilacoelli]

Um

abandono não precisa ser algo tão trágico, mas algo que de sente por dentro. É como o luto. Ele não precisa ser o final da vida, mas o final de algo por dentro... Um abandono pode ser de qualquer pessoa, mãe pai amigx e namoradx. Qualquer pessoa pode te abandonar, mas continue a caminhar.

É claro que abandonos nos destroem, nos desequilibram, nos oxidam, nos deixam pra baixo, nos afetam de um jeito bastante ruim. Faz um clima de "eu não sou bom" ou "realmente, sou um fracasso".

Enfim... Não sei muitos conselhos sobre abadono. Só prossiga. Por mais que esteja difícil. E por mais incomodo, estranho, ruim e triste que seja, continue. Abadonos nunca serão bons. E nenhum se compara a outros. Abadonos são abandonos e o que vem depois que é o que importa = Você e só você.

[hopetodieclub]

Organic Machine Series.

[peterpanyoga]

Yoga Anatomy and the Human Machine

[jenniferurdang]

Human becomes organs of the Machine. #humanmachine#parthuman#sexymetal#fighttosurvive #trippyart#humanoids #humanoid #humanoidrobot #aliens #robotics #ai #robots #artfuture #alien #artist #oc #robotic #artwork #scifi #robot #digitalart #artistsoninstagram #ufo #human #mechanical #teknologi #electrical #robotdiy #openhardware (at Thunder Rock Cove, Oregon) https://www.instagram.com/p/CalRcdRPQTb/?utm_medium=tumblr

[breathingcarnage]

Human Machine

Um projeto prestes à começar.

[miyasanchez7]

That ideal society is also reflected in the book Angel of Mortality: Defender of Life by David W. Stewart. It centered around a necessary battle to save humanity from the creation of a powerful machine that is chaos incarnate. Readers will find themselves in a science fiction thriller of many sorts with encounters of xenoborgs – nanobots with artificial intelligence that evolved into efficient living machines...

[fumpkins]

Building Trusted Human-Machine Partnerships | Science and Technology Research News

Notional vignettes portray competence-aware devices carrying out jobs in vibrant environments.

A crucial component in efficient groups – whether athletic, service, or military – is trust, which is based in part on good understanding of staff member’ skills to satisfy appointed functions. When it pertains to forming efficient groups of human beings and self-governing systems, human beings require prompt and precise insights about their device partners’ abilities, experience, and dependability to trust them in vibrant environments. At present, self-governing systems cannot offer real-time feedback when altering conditions such as weather condition or lighting trigger their proficiency to change. The devices’ absence of awareness of their own skills and their failure to interact it to their human partners minimizes trust and weakens group efficiency.

To assist change devices from easy tools to trusted partners, DARPA today revealed the Competency-Aware Artificial intelligence (CAML) program. CAML intends to establish artificial intelligence systems that constantly evaluate their own efficiency in time-critical, vibrant circumstances and interact that details to human team-members in a quickly comprehended format.

“If the machine can say, ‘I do well in these conditions, but I don’t have a lot of experience in those conditions,’ that will allow a better human-machine teaming,” stated Jiangying Zhou, a program supervisor in DARPA’s Defense Sciences Workplace. “The partner then can make a more informed choice.”

That dynamic would support a force-multiplying impact, because the human would understand the abilities of his/her device partners at all times and might use them effectively and successfully.

On the other hand, Zhou kept in mind the difficulty with cutting edge self-governing systems, which cannot evaluate or interact their skills in quickly altering circumstances.

“Under what conditions do you let the machine do its job? Under what conditions should you put supervision on it? Which assets, or combination of assets, are best for your task? These are the kinds of questions CAML systems would be able to answer,” she stated.

Utilizing a streamlined example including self-governing vehicle technology, Zhou explained how important CAML technology might be to a rider attempting to choose which of 2 self-driving cars would be much better fit for driving at night in the rain. The very first lorry may interact that in the evening in the rain it understands if it is seeing an individual or an inanimate things with 90 percent precision, and that it has actually finished the job more than 1,000 times. The 2nd lorry may interact that it can compare an individual and an inanimate things in the evening in the rain with 99 percent precision, however has actually carried out the job less than 100 times. Geared up with this details, the rider might make an educated choice about which lorry to utilize.

DARPA has actually set up a pre-recorded webcast CAML Proposers Day for possible proposers on February 20, 2019. Information are offered at: https://go.usa.gov/xE9aQ.

The CAML program looks for knowledge in artificial intelligence, expert system, pattern acknowledgment, understanding representation and thinking, self-governing system modeling, human-machine user interface, and cognitive computing. To take full advantage of the swimming pool of ingenious proposition ideas, DARPA highly motivates involvement by non-traditional proposers, consisting of small companies, scholastic and research organizations, and novice Federal government specialists.

DARPA expects publishing a CAML Broad Company Statement solicitation to the Federal Company Opportunities site in mid-February 2019.

New post published on: https://livescience.tech/2019/02/04/building-trusted-human-machine-partnerships-science-and-technology-research-news/