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# Making Science Larger, not just Faster


- **Event:** World Congress 2026 North America

## Description

The dominant framing of enterprise AI is speed: faster code, faster decisions, faster discovery. That framing misses the larger story. When AI is anchored to the equations of physics, chemistry and biology rather than to the corpus of the open web, it does not just compress timelines — it expands the space of what can be explored. A bigger biochemical landscape for drug discovery. A bigger materials landscape for batteries and alloys. A bigger design landscape for everything humans build. Drawing on SandboxAQ's deployments across pharma, energy and navigation, Yuval shows why Large Quantitative Models are the first AI architecture capable of growing the pie rather than slicing it thinner, and what that means for any enterprise still measuring AI value in cost reduction.


## Speaker

### [Yuval Dvir](https://www.wearedevelopers.com/@yuval-dvir)

Commercial Executive, SandboxAQ


## Related talks at this congress

- [You Can’t Re-Run Sunlight: Designing ML Data Architectures for Physical AI](https://www.wearedevelopers.com/events/world-congress-2026-north-america/sessions/1677-you-can-t-re-run) — An Phan
- [Building Stuff with GenAI - The Open Minded Workshop beyond OpenAI](https://www.wearedevelopers.com/events/world-congress-2026-north-america/sessions/1719-building-stuff-with) — Andreas Erben
- [AI Decision Observability: Enabling Transparency and Trust in Intelligent Systems](https://www.wearedevelopers.com/events/world-congress-2026-north-america/sessions/1400-ai-decision) — Amjad Shaikh, Soumil Mandal
- [Optimizing consumption and cost of AI APIs in the enterprise](https://www.wearedevelopers.com/events/world-congress-2026-north-america/sessions/1426-optimizing) — Derric Gilling

## Watch remotely

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## Links

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