JIT Assembly to Build Exascale AI Infrastructure | Neural Search Talks: Ash Vardanian (Unum)

Neural Search Talks: Interview with Ash Vardanian. Ash shares his journey from software development to pioneering in the AI infrastructure space with Unum. He discusses Unum's focus on unleashing the full potential of modern computers for AI, search, and database applications through efficient data processing and infrastructure. Highlighting Unum's technical achievements, including SIMD instructions and just-in-time compilation, Ash also touches on the future of computing and his vision for Unum to contribute to advances in personalized medicine and extending human productivity. Watch the interview to learn about Unum's multimodal Uform embeddings and the details behind the assembly-level optimization in Usearch!

If you're interested in Unum's work, check out their (fresh!) releases:
- Uform multimodal embeddings: https://github.com/unum-cloud/uform
- USearch vector engine: https://github.com/unum-cloud/usearch
- SimSIMD similarity measures library: https://github.com/ashvardanian/simsimd

Timestamps:
0:00 Introduction
0:44 How did Unum start and what is it about?
6:12 Differentiating from the competition in vector search
17:45 Supporting modern features like large dimensions & binary embeddings
27:49 Upcoming model releases from Unum
30:00 The future of hardware for AI
34:56 The impact of AI in society
37:35 Outro