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The Communiqué News

27 MAR 2023, Delhi: The Ministry of Culture is implementing a Scheme by the name of ‘Scheme of Scholarship and Fellowship for Promotion of Art and Culture’ to protect all genres of artists including folk song artists.

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The Scheme of Scholarship and Fellowship for Promotion of Art and Culture consist of 03 components viz. (i) Award of Scholarships to Young Artists in Different Cultural Fields (SYA), (ii) Award of Senior/Junior Fellowships to outstanding persons in different cultural fields and (iii) Award of Tagore National Fellowship for cultural research (TNFCR). The detail of these schemes components is as given below:-

‘Award of Scholarships to Young Artists in Different Cultural Fields (SYA)’. Under this scheme component, a Scholarship of Rs.5000/- per month is provided to selected beneficiaries in the age group of 18 -25 years, in four equal six monthly installments for a period of 2 years. The candidates should have undergone training under any Guru or Institution for a minimum period of five years. The scholars are selected on the basis of their performance in a personal interview/interaction before an Expert Committee for Scholarship constituted by the Ministry.

Award of Senior/Junior Fellowships to outstanding persons in different cultural fields.Under this scheme component, Senior Fellowship is provided to selected Fellows in the age group of 40 years and above in four equal 6 monthly installments @ Rs.20,000/- p.m for 02 years for cultural research. Junior Fellowship is provided to selected Fellows in the age group of 25 to 40 years in four equal 6 monthly installments @ Rs.10,000/- p.m for 02 years. Upto 400 Senior & Junior Fellowships are awarded in one batch year. The Fellows are selected by an Expert Committee for Sr / Jr Fellowship constituted by the Ministry.

Award of Tagore National Fellowship for cultural research (TNFCR). Under this scheme component, the candidates are selected under two categories viz. Tagore National Fellowship and Tagore Research Scholarship to work on cultural research by affiliation under different participating institutions in 4 different groups. Selection of Fellows and Scholars are made by National Selection Committee (NSC). Selected Fellows are paid financial assistance @Rs.80,000/- p.m. + Contingency Allowance and Scholars are paid @Rs.50,000/- p.m. + Contingency Allowance for a maximum period of 2 Years. The financial assistance is released in four equal six monthly installments.

Under the scheme of “Project Grants to Individuals for Research in the Performing Arts”, the Sangeet Natak Akademi provides financial assistance to individuals on recommendation of the Advisory Committee.

This reply was given by Minister of Culture, Tourism and Development of North Eastern Region Shri G. Kishan Reddy in Lok Sabha today.




The final folk song from Aabha Hanjura's EP, "Mere Hikduye Gadbad," which she recently published, is well-known for both her dynamic live performances and her wide range of musical styles. The song is a lovely fusion of traditional Dogri folk music from Jammu and Himachal Pradesh regions, showcasing a contemporary acoustic folk style.


Swati Bhat

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In her song, Aabha tells the tale of women from Chamba's highlands who describe their daily life. The lovely singer's voice and the pahadi lyrics in the song transport listeners to the highlands. The songs "Hukus Bukus," "Sahibo," and "Madano" by Aabha had previously been a hit with music fans and have won praise from well-known artists all over the world. At the 7th annual Radio City Freedom Awards, her song Madano received a nomination for Best Folk Fusion Song. She is one of the most in-demand folk musicians in the nation thanks to her distinctive fusion of traditional Kashmiri music with modern styles.

Speaking about the song's inspiration, Aabha Hanjura's communiqué, “Hikduye Gadbad is a happy song about a girl from the hills and I relate to this songs naughty happy vibe it's percussive yet soulful and we had a lot of fun shooting a colorful video for this track and as I wrap the EP Folk Sessions with this last song, I hope I hope my listeners from all over especially, Jammu and Himachal Pradesh will connect to this song as much as I did”

To listen, click here '



Adobe and NVIDIA will collaborate on the development of a new generation of advanced generative AI models. The collaboration will centre on the deep integration of generative AI in creative workflows. Both companies support content transparency and Content Credentials, which are powered by Adobe's Content Authenticity Initiative.


Pritish Bagdi

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Image: Gene Silvers. Anil Chakravarthy, president, digital experience; David Wadhwani, president, digital media; Shantanu Narayen, CEO in front of Firefly generated images.


Adobe (Nasdaq:ADBE) and NVIDIA, longtime R&D partners, have announced a new collaboration to harness the power of generative AI to advance creative workflows. Adobe and NVIDIA will collaborate on the development of a new generation of advanced generative AI models, with a focus on deep integration into applications used by the world's top creators and marketers. Some of these models will be co-developed and released through Adobe's Creative Cloud flagship products such as Adobe Photoshop, Adobe Premiere Pro, and Adobe After Effects, as well as through the new NVIDIA Picasso cloud service, allowing third-party developers greater access. Priorities of the partnership include ensuring content transparency and Content Credentials powered by Adobe's Content Authenticity Initiative, as well as supporting the commercial viability of the new technology.

NVIDIA Picasso, a cloud service for generative AI announced today, allows users to build and deploy generative AI-powered image, video, and 3D applications with advanced text-to-image, text-to-video, and text-to-3D capabilities to supercharge productivity for creativity, design, and digital simulation via simple cloud APIs. "Adobe and NVIDIA have a long history of collaborating to advance the technology of creativity and marketing," said Scott Belsky, Adobe's Chief Strategy Officer and EVP, Design and Emerging Products. "We're excited to collaborate with them on how generative AI can provide our customers with more creative options, speed up their work, and help scale content production."

"Generative AI empowers unprecedented creativity," said Greg Estes, NVIDIA's VP of Corporate Marketing and Developer Programs. "With NVIDIA Picasso and Adobe tools like Creative Cloud, we'll be able to bring the transformational capabilities of generative AI to enterprises, allowing them to explore more ideas while producing and scaling incredible creative content and digital experiences."

Adobe Firefly, Adobe's new family of creative generative AI models, was unveiled earlier today, along with the beta of its first model focused on the generation of images and text effects that are safe for commercial use. Firefly will bring even more precision, power, speed, and ease to workflows involving the creation and modification of content in Adobe Creative Cloud, Adobe Document Cloud, and Adobe Experience Cloud. Adobe Firefly is a web browser. Some Adobe Firefly models will be hosted on NVIDIA Picasso, which will optimise performance and generate high-quality assets to meet customer expectations. Adobe is also working on new generative AI services to help with the creation of video and 3D assets, as well as to assist marketers in scaling and personalising content for digital experiences by advancing end-to-end marketing workflows. Initiative for Content Authenticity Adobe established the Content Authenticity Initiative (CAI) to establish open industry standards for attribution and Content Credentials. People will be able to see when content was generated or modified using generative AI by using Content Credentials that CAI adds to content at the point of capture, creation, edit, or generation. Adobe and NVIDIA, as well as the CAI's other 900 members, support Content Credentials so that people can make informed decisions about the content they encounter.

It will add a "Do Not Train" tag for content creators who do not want their content to be used in model training, and that tag will be associated with content wherever it is used, published, or stored.




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