newsMIT Technology Review AITrust 88 · LabPublished 1mo agoLive · 1mo ago
Advancing next-gen AI with materials science innovation
The conversation about AI often centers on algorithms, computing power, or huge investments in new semiconductor fabrication plants and hyperscale data centers. But beneath each of these advances is another layer of innovation that makes them possible: advanced materials. Every new generation of AI technology demands more processing power, more memory, greater energy efficiency, and…
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- PossiblePossibly related (embedding) · 55%The Industrialization of Research ; On AI-Driven Science and Its Consequences →
- PossiblePossibly related (embedding) · 54%janosh/matbench-discovery →
- PossiblePossibly related (embedding) · 53%Auto Research for Materials: Auditable AI-Scientist Workflows with Held-Out Transfer →
- PossiblePossibly related (embedding) · 53%synthetic-sciences/openscience →
- PossiblePossibly related (embedding) · 48%HiPoly: a hierarchical polymer-native AI framework for property prediction and generative design →
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