Unlocking the Future of AI with Open Source: Interview with Ash Vardanian, Founder of Unum Cloud
In this interview, we talk with Ash Vardanian, the founder of Unum, a company that creates AI and programming tools.
Unum is a company that offers a suite of efficient data-processing tools tailored for AI and semantic search applications.
Their key offerings include:
UForm for multi-modal data processing (text, images, etc.),
https://github.com/unum-cloud/uform#u...
UCall for providing ACID-transactional capabilities,
https://github.com/unum-cloud/ucall
USearch as a vector search engine for similarity search on large datasets,
https://github.com/unum-cloud/usearch
UStore - a modular, multi-modal, and transactional database system designed to store and process different data modalities like blobs, documents, graphs, vectors, and text.
https://github.com/unum-cloud/ustore
UStore integrates with USearch, UForm, and popular data science libraries, offering vector search, transactional support, and a unified solution for AI and semantic search applications requiring efficient handling of diverse data types.
Ash shares his journey, from his early days in programming to leading in AI technology. He explains how Unum’s tools like uSearch, uForm, uCall, and uStore help make AI work faster and better.
Ash discusses how he improves data search efficiency and reduces computer process delays. He also talks about the benefits of open-source projects, where anyone can contribute and improve the tools.
Ash shares his thoughts on the future of AI and the potential of open-source hardware, like RISC-V, which can make computers more powerful and customizable. This interview provides insight into how Ash and Unum are making advanced AI technology accessible and efficient for everyone.
Ash''s website: https://ashvardanian.com
Ash's YouTube: / @ashvardanian
Ash's X: https://x.com/ashvardanian
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