We're excited to announce the integration of the Oasis Privacy Layer into the @cosmos ecosystem via @oraichain .
03 Oct 2023, 08:02
We’re excited to announce the integration of the Oasis Privacy Layer into the @cosmos ecosystem via @oraichain !
Bringing Smart Privacy primitives like OPL from Oasis to Cosmos will elevate the confidentiality tooling available to builders and users 💫
Same news in other sources
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03 Oct 2023, 11:21
Hey everyone some exciting news! 😁
Our Privacy Layer, is going to be integrated with the Cosmos Ecosystem via the Oraichain!
Bringing Smart Privacy primitives like OPL from Oasis to Cosmos will elevate the confidentiality tooling available to builders and users 💫
Hey everyone some exciting news. Our Privacy Layer, is going to be integrated with the Cosmos Ecosystem via the Oraichain.
Hey everyone some exciting news! 😁
Our Privacy Layer, is going to be integrated with the Cosmos Ecosystem via the Oraichain!
Bringing Smart Privacy primitives like OPL from Oasis to Cosmos will elevate the confidentiality tooling available to builders and users 💫
https://twitter.com/OasisProtocol/status/1709116806210765247
03 Oct 2023, 11:21
Hey everyone some exciting news! 😁
Our Privacy Layer, is going to be integrated with the Cosmos Ecosystem via the Oraichain!
Bringing Smart Privacy primitives like OPL from Oasis to Cosmos will elevate the confidentiality tooling available to builders and users 💫
Hey everyone some exciting news. Our Privacy Layer, is going to be integrated with the Cosmos Ecosystem via the Oraichain.
Hey everyone some exciting news! 😁
Our Privacy Layer, is going to be integrated with the Cosmos Ecosystem via the Oraichain!
Bringing Smart Privacy primitives like OPL from Oasis to Cosmos will elevate the confidentiality tooling available to builders and users 💫
https://twitter.com/OasisProtocol/status/1709116806210765247
03 Oct 2023, 08:17
NEW: Mode-Assisted Unsupervised Quantum-Restricted-Boltzmann-Machine (MA-QRBM) for PyTorch 🔥🔥
We just released a first version of a PyTorch compatible class for mode-assisted quantum restricted Boltzmann machines (MAQRBM) for our #Dynex #SDK. The MARBM provides a novel approach to training RBMs by combining the standard gradient updates with an off-gradient direction. This direction is constructed using samples from the RBM ground state, also referred to as ‘mode’. By utilizing mode-assisted training, the RBM benefits from faster convergence, improved training stability, and lower converged relative entropy (KL divergence).
NEW: Mode-Assisted Unsupervised Quantum-Restricted-Boltzmann-Machine (MA-QRBM) for PyTorch.
NEW: Mode-Assisted Unsupervised Quantum-Restricted-Boltzmann-Machine (MA-QRBM) for PyTorch 🔥🔥
We just released a first version of a PyTorch compatible class for mode-assisted quantum restricted Boltzmann machines (MAQRBM) for our #Dynex #SDK. The MARBM provides a novel approach to training RBMs by combining the standard gradient updates with an off-gradient direction. This direction is constructed using samples from the RBM ground state, also referred to as ‘mode’. By utilizing mode-assisted training, the RBM benefits from faster convergence, improved training stability, and lower converged relative entropy (KL divergence).
03 Oct 2023, 08:02
In accelerating better ecosystem privacy for @cosmos , @Oraichain ’s work with Oasis will be complete with:
• Cosmos-focused developer docs
• Exploration of secret ballots for CW20
• Confidential gaming tooling
• Private market makers & More
Cheers to better privacy!
In accelerating better ecosystem privacy for @cosmos , @Oraichain 's work with Oasis will be complete with:.
In accelerating better ecosystem privacy for @cosmos , @Oraichain ’s work with Oasis will be complete with:
• Cosmos-focused developer docs
• Exploration of secret ballots for CW20
• Confidential gaming tooling
• Private market makers & More
Cheers to better privacy!