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She has taught and performed in schools, community centers, grange halls and at festivals and camps throughout Vermont and across the U. In collaboration with the Country Dance and Song Society, she helped conceive and manage a community storytelling project, collecting oral histories in traditional dance and music communities around New England.

Classical Chinese poem - Spring Dawn / Mèng Hào rán - Chinese Calligraphy

She has worked with other Vermont non-profit organizations including Young Tradition Vermont and the Wake Up to Dying Project to create opportunities for community education and engagement. Trish Denton has been committed to the facilitation of community-based projects for 15 years. Trish is the founder of In Tandem Arts, an organization that serves as an agency for socially engaged artists, as well as a production company for community-based performance. Students will take home their own, handmade maps as well as contribute to a large-scale, communal map of Addison County.

Spring into Native arts and culture – and beyond

Check out the schedule of workshops and performances here. Student performances and artwork displays are open to the public.

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Thank you for helping celebrate the arts in our schools! We depend on many volunteers to plan for and support SITA! If you've already signed up to volunteer this year, thank you! If you have any questions as you prepare for the festival, don't hesitate to contact Sharon Koller sharonkollervt gmail. Skip to Main Content.


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Spring into Poetry: A Writing Poetry for Children Workshop

Sign In. Search Our Site. Bundle, at 60 Main Street, is open 10am and 4pm Monday - Saturday and will offer viewing and treats from 8am to noon on Memorial day. A closing finale to celebrate the students will be held on June 5th at pm. What is not clear is the degree to which human-level ability to experience art is required to create art.

Can AI create art on par with human composers or painters despite lacking the ability to experience art, and reality, like humans do? Growing empirical evidence, especially in painting and music, suggest that artistic creativity may not require the capacity for subjective experience but instead be learnable by AI from human-created art and feedback. We believe that as AI becomes better at patterns and associations learning, and as it receives more feedback from people, it will create art capable of eliciting increasingly rich multi-sensory and emotional human experiences with increasingly complex associations: namely, increasingly better art, possibly moving beyond art created by humans.

Artistic creativity may not require the capacity of subjective experience. Emerging collaborations between humans and machines are poised to become the next technological leap in art and produce artwork that we never experienced before.

Translations:

Application of deep learning has produced paintings of undeniable artistic quality either as imitations of style of human painters — whereby style transfer through convolutional neural networks encodes patterns associated with the style of masters in terms of low-level brush strokes all the way to space perception and composition — or original work — where generative adversarial networks GANs generate realistic paintings such as portraits or abstract nudes.

Artists like Barrat and Mario Klingemann still make most of the creative choices such as curating inputs, training the AI and selecting best resulting art. However, AI-based art is often hard to tell from human art and increasingly independent AI painters are likely around the corner. In music, the pioneering work of David Cope, composer and professor of music at UCSC, far predates modern deep learning. Since , Cope has been working on distilling the essence of musical composition in algorithms that are fed music of a given composer, deconstruct it, identify patterns, and recombine the patterns in new compositions in the same style.

In the near future, even if a human musician composes the main musical theme and song progression around certain lyrics, the entire orchestration and composition of accompaniment is a challenging and laborious process likely to be taken over by AI. As we learn how to better design such human-computer collaborations we are likely to enhance both human and AI creativity.

Even poetry may be possible without human-level experience: already, bots that generate artful haikus have emerged , and because the quality of the poem partly derives from the beauty and rhythm of the language — which may be learnable — and partly from the meaning that the reader ascribes to it, poetry bots have fooled literary journals as early as If you think you can tell human from bot poetry, you are welcome to challenge yourself in Bot or Not.

Beyond music, painting, and poetry, applications of AI in many other art forms and creative tasks and AI tools for generating art are starting to emerge. An innovative team out of MIT is set to demonstrate that collaboration between humans and AI can generate new art and crafts that humans alone could not conceive of : music, products and product designs, fashion, perfumes, chocolate truffles, jewelry, cocktails and theater plays.

Stanford lecturer and Volvo Group artist-in-residence Pamela Davis Kivelson innovatively combines art forms including photography, AI painting with style transfer, portrait videos and even AI poetry in performances and projects with technological themes from events unfolding in Silicon Valley. I want to re-envision the portrait — to challenge our collective unconscious biases and inferences. These hidden biases influence our behavior. His resulting AI poet is genius; human poets first dismiss it, but ultimately commit mass suicide having lost their main purpose in life.

So, how creative can specialized AI become, assuming that Artificial General Intelligence is still in the distant future? There is a lot of room for improvement of specialized AI along three underexplored paths: training, multimodality and human-AI collaboration.


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Continuous feedback and training. To date, AI advances in painting and music have not leveraged much human feedback. By contrast, as a human artist experiences art, she is an instant — albeit biased — critic of her work. Feedback from many artists — or art critics, or the general public — may be better than the subjective experience of one artist.

Moreover, such a feedback process may enable the emergence of new art styles, communities, and avant-garde work. Multimodality and associations learning. It is the complex multimodal feelings and associations we experience when we listen to our favorite tunes, or are immersed in a painting, which elevate us in a mental world of images, memories, interpretations, analytical thoughts, historical and cultural connections, and sensory-motor experiences that we attribute to the highest forms of art.

Can it create music, paintings, poems, and literature in ways that may influence each other much like Lera Auerbach , a musician, painter, sculptor, librettist, poet and writer? How can we teach AI associations across modalities, art forms, events and social trends? Vast amounts of training data exist already: movies with soundtracks, songs with lyrics, reviews of paintings, music albums, movies and performances.