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Entities25 of 207,987
- large language modeltechnology1,043 mentions
- robotic manipulationmarket824 mentions
- artificial intelligencetechnology739 mentions
- reinforcement learningtechnology491 mentions
- density-functional theorytechnology386 mentions
- Transformertechnology371 mentions
- agentic AItechnology353 mentions
- vision-language-action modeltechnology350 mentions
- U.S. Food and Drug Administrationorganization320 mentions
- Vision-Language Modeltechnology318 mentions
- Microsoftorganization291 mentions
- Googleorganization276 mentions
- NVIDIAorganization264 mentions
- Model Context Protocoltechnology232 mentions
- machine learningtechnology204 mentions
- MarketsandMarketsorganization199 mentions
- Claudeproduct192 mentions
- AI agenttechnology188 mentions
- ChatGPTproduct178 mentions
- Anthropicorganization177 mentions
- integrated sensing and communicationtechnology175 mentions
- Amazon Web Services, Inc.organization174 mentions
- OpenAIorganization172 mentions
- diffusion modeltechnology169 mentions
- IBMorganization163 mentions
Entity
deep ensemble
technology9 mentionslast seen Nov 13, 2026
A method that provides per-node uncertainty estimates to drive an active-learning loop for design screening.
Relationships 10
- deep ensembledepends onuncertainty quantification92% confidence1 source
- deep ensembleimplementsquantum parameter estimation90% confidence1 source
- deep ensembleapplies tograph neural network90% confidence1 source
- active learningdepends ondeep ensemble90% confidence1 source
- deep ensembleimplementsuncertainty quantification88% confidence1 source
- Fast Localized Urban Microclimate Emulatordepends ondeep ensemble85% confidence1 source
- Sampling-Based Safe Reinforcement Learningdepends ondeep ensemble85% confidence1 source
- deep ensembleapplies toquantum parameter estimation for experimental settings85% confidence1 source
- gated multi-fidelity PINNcompetes withdeep ensemble82% confidence1 source
- deep ensembledepends onBayesian inference80% confidence1 source
Relationship
active learningdepends ondeep ensemble
90% confidence1 supporting mentions
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Sources 1