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Update deepresearch.md (#142)
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# Vac Deep Research
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Vac Deep Research is at the forefront of cutting-edge exploration and innovation within the IFT.
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Vac Deep Research is at the forefront of exploration and cutting-edge innovation within the IFT.
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Their work extends beyond scientific publications, actively bridging the gap between theory and practice.
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The team collaborates with various entities, such as Vac R&D units, incubator projects, and IFT projects, to bring their research findings to fruition.
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Part of this effort includes identifying opportunities for and spawning new incubator projects,
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allowing Vac Deep Research to translate their research findings into practical applications within the IFT.
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Deep research encompasses several key areas, including zero knowledge (ZK), decentralised privacy-preserving node provider networks, validator privacy, and libp2p gossipsub improvements.
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Deep Research encompasses several key areas, including zero knowledge (ZK), decentralised privacy-preserving node provider networks, validator privacy, and libp2p gossipsub improvements.
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## Zero-knowledge Proofs
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## Zero-Knowledge Proofs
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In the realm of ZKP, Vac Deep Research has made contributions that have given rise to the [incubator project](/vips) Nescience.
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The team delved into the intricacies of zero-knowledge proofs, exploring their applications and pushing the boundaries of privacy-preserving technologies.
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By conducting in-depth research and proposing improvements, Vac Deep Research aims to optimise information sharing and communication within decentralised networks,
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contributing to the overall robustness and scalability of the P2P layers of IFT projects.
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## Anonymization Networks
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## Anonymisation Networks
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Vac also researches anonymization networks, with the main goal of a libp2p gossipsub anonymization layer with pluggable project specific components.
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Vac also researches anonymisation networks, with the main goal of a libp2p gossipsub anonymisation layer with pluggable project-specific components.
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