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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
physics-informed residual digital twin
technology1 mentionslast seen Sep 23, 2026
A receiver-side approach combining nominal line-of-sight transition, Gaussian optics, nonlinear quadrant-photodetector observation, and extended Kalman filter synchronization for predictive fine tracking in inter-satellite optical links.
Relationships 7
- physics-informed residual digital twinapplies tooptical inter-satellite communication90% confidence1 source
- physics-informed residual digital twincomposed ofquadrant-photodetector observation85% confidence1 source
- physics-informed residual digital twincomposed ofnormalized autoregressive ridge model85% confidence1 source
- physics-informed residual digital twincomposed ofExtended Kalman Filter85% confidence1 source
- physics-informed residual digital twincomposed ofGaussian optics85% confidence1 source
- physics-informed residual digital twincomposed offine-steering mirror80% confidence1 source
- physics-informed residual digital twinsupersedesfine tracking75% confidence1 source
Relationship
physics-informed residual digital twincomposed ofExtended Kalman Filter
85% confidence1 supporting mentions
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Sources 1