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Entities25 of 207,987
- large language modeltechnology1,048 mentions
- robotic manipulationmarket834 mentions
- artificial intelligencetechnology739 mentions
- reinforcement learningtechnology492 mentions
- density-functional theorytechnology386 mentions
- Transformertechnology372 mentions
- vision-language-action modeltechnology355 mentions
- agentic AItechnology353 mentions
- Vision-Language Modeltechnology321 mentions
- U.S. Food and Drug Administrationorganization320 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 communicationtechnology176 mentions
- Amazon Web Services, Inc.organization174 mentions
- OpenAIorganization172 mentions
- diffusion modeltechnology170 mentions
- IBMorganization163 mentions
Entity
MAMBA
product5 mentionslast seen Nov 11, 2026
A modern world model.
Relationships 7
- MAMBAdepends onstate space model99% confidence2 sources
- Hidden State Poisoning Attackapplies toMAMBA92% confidence1 source
- MAMBAdepends onstate-space mixer92% confidence1 source
- LowRank-SSMdepends onMAMBA92% confidence1 source
- MAMBAdepends onProduct Interaction85% confidence1 source
- MAMBAdepends onminimum attention82% confidence1 source
- simplified-algebra dynamical layersupersedesMAMBA80% confidence1 source
Relationship
MAMBAdepends onstate space model
99% confidence2 supporting mentions
Either name opens that entity’s relationships.
Sources 2
- preprintarXivOct 9, 2026LowRank-SSM: Hardware-Software Co-Design for Rank-Reduced Mamba Acceleration on FPGA
State Space Models (SSMs) such as Mamba achieve linear-time autoregressive inference
- preprintarXivSep 1, 2026Hidden State Poisoning Attacks against Mamba-based Language Models
State space models (SSMs) like Mamba offer efficient alternatives to Transformer-based language models