Vann AI

वन (vann) –> ‘Forest’ in Sanskrit

Open Science AI Research Lab

#________________________________________________

our Mission is to build and promote foundational AI technologies for indic languages.

Non-profit

based in San Francisco

नमस्ते भारत নমস্কার ভারত ਸਤ ਸ੍ਰੀ ਅਕਾਲ ਭਾਰਤ வணக்கம் பாரத் నమస్కారం భారత ನಮಸ್ಕಾರ ಭಾರತ നമസ്കാരം ഭാരത് ନମସ୍କାର ଭାରତ નમસ્તે ભારત ꯆꯪꯂꯤꯡ ꯕꯍꯔꯥꯠ سلام بھارت

#________________________________________________



#________________________________________________

नमस्ते भारत!

नमस्ते भारत

Open Science Indic Language AI Lab

An Open Science Indic Language AI Lab aims to foster collaboration and innovation in the development of AI technologies for Indic languages, which are spoken by over a billion people. Despite their rich cultural and linguistic diversity, Indic languages have often been underrepresented in the field of artificial intelligence, where English and a few other global languages dominate. The lab would address this imbalance by focusing on research, development, and dissemination of open-source tools, datasets, and models specifically tailored for these languages.

Mission and Objectives

The primary mission of the lab is to democratize access to AI technologies for Indic languages, promoting inclusivity and digital empowerment. Its objectives include:

  • Developing AI Models: Building state-of-the-art models for natural language processing (NLP) tasks such as translation, speech recognition, and text generation in Indic languages.
  • Creating Open Datasets: Curating large, high-quality datasets for each Indic language, covering text, audio, and multimodal content.
  • Open-Source Frameworks: Developing and releasing open-source frameworks that researchers and developers can use to build AI applications in Indic languages.
  • Community Engagement: Organizing workshops, hackathons, and training sessions to involve students, researchers, and technologists in advancing Indic language AI.

Core Research Areas

The lab would focus on several key research areas:

  1. Machine Translation: Enabling seamless translation between Indic languages and English, as well as between different Indic languages.
  2. Speech Recognition and Synthesis: Developing automatic speech recognition (ASR) and text-to-speech (TTS) systems for applications like voice assistants and automated transcription.
  3. Multilingual NLP: Training large-scale language models that support multiple Indic languages, leveraging transfer learning and fine-tuning techniques.
  4. Digital Preservation: Using AI to digitize and preserve ancient texts, manuscripts, and cultural heritage written in Indic scripts.

Open Science Philosophy

The lab operates on the principles of open science, ensuring that all research outputs, including code, models, and datasets, are freely available to the public. This approach encourages collaboration, accelerates innovation, and allows researchers from diverse backgrounds to contribute to and benefit from the advancements in Indic language AI.

Impact on Society

The work of an Open Science Indic Language AI Lab has the potential to bridge the digital divide in India and neighboring regions. By creating AI systems that understand and generate content in local languages, the lab can enhance access to education, governance, healthcare, and digital services. It empowers rural and marginalized communities to engage with technology in their native languages, fostering inclusivity and reducing linguistic barriers.

Call to Action

The success of such a lab depends on support from academia, industry, and the government. Researchers, developers, and policymakers are encouraged to join hands in building a vibrant ecosystem for Indic language AI. Together, they can ensure that the next wave of AI advancements reflects the linguistic and cultural richness of the Indian subcontinent.