This month, our team at Zama released a new version of TFHE-rs (v0.11), alongside new versions of Concrete (v2.9), Concrete ML (v1.8) and the fhEVM (v0.6) featuring the fhEVM Coprosessor. Since 2020, Zama has been building its suite of products to make FHE accessible, easy, and fast. With years of dedication to FHE research and development, this release marks an important step in the maturity of our entire platform, leading us to the next milestone: #mainnet Zama's blockchain protocol enables seamless integration of advanced cryptographic features, empowering Solidity developers to build private-by-default dapps and provide the security and trust needed to bring a billion users onchain. #httpz Dive into the specifics: https://www.zama.ai/post/zama-product-releases-january-2025

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Are you a developer eager to respect your users’ confidentiality? You should be! 😏 Learn more about Fully Homomorphic Encryption (FHE) by participating in the Zama Bounty Program. Season 7 is live until 09.02.25, and we reward up to three submissions per bounty! 💰

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An incredible week in Buenos Aires 🇦🇷 for FHE and @zama: vibrant energy, optimism, and developers excited about Zama’s tech. We sponsored the Aleph de Verano hackathon, supporting Buenos Aires’ rise as a global crypto hub. Highlight: Our fhEVM on Sepolia—Ethereum’s critical privacy layer, like SSL for HTTP—keeps sensitive data hidden on public blockchains. Key use cases include private currency, identity, voting, and more. Without fhEVM: All transactions are public → Orwellian risks. With fhEVM: Privacy by design → Modern financial expectations. At the hackathon, teams built: • A crypto invoicing app with hidden amounts. • An on-chain voting system. • A private auction procurement system. Valuable feedback received to streamline onboarding. Next step: Ethereum Mainnet in Q1 2025. Stay tuned!

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Don't miss out on what's coming. Zama Telegram and Discord are live. All links here: zama.ai/community

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Hello, World! Introducing Zama's fhEVM Coprocessor. Read more: https://cointelegraph.com/news/crypto-firm-zama-launches-tool-build-private-apps-evm-chain

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Has anyone here built anything with fhevm? Considering building something

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The growing interest in FHE is at all levels, but the one that really matters for making it ubiquitous is research, and it's speeding up! Onward. https://x.com/zama_fhe/status/1861763402105806979

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🚨 [Live today at 2pm ET]— Don’t miss @randhindi joining Jeremy Allaire, CEO of Circle, to dive deep into Fully Homomorphic Encryption (FHE) and what’s next for Zama on The Money Movement Episode 103! https://www.youtube.com/watch?v=6TtNg_04RnE #FHE #Blockchain #Privacy #web3 #crypto

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In a time when trust in electoral processes is crucial, creating a trustworthy voting system is necessary but complex. Cryptography can solve that. https://zama.ai/post/encrypted-onchain-voting-using-zk-and-fhe-with-zama-fhevm

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A group of students just won the TikTok TechJam hackathon using Zama’s Concrete ML library and Fully Homomorphic Encryption (FHE). Read more here: https://www.zama.ai/post/winning-tiktok-hackathon-using-zama-concrete-ml-and-fully-homomorphic-encryption

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Hello world

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Confidential ERC-20 Solution with FHE by @inco and Circle A new whitepaper and open-source repository have been released, outlining a framework to convert ERC-20 tokens into confidential wrapped assets. This approach leverages fully homomorphic encryption (FHE) to protect user privacy while ensuring regulatory compliance. Learn more: https://circle.com/blog/confidential-erc-20-framework-for-compliant-on-chain-privacy

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They have a demo of this now on Huggingface: https://huggingface.co/spaces/zama-fhe/encrypted_dna Concept is: 1. Data (e.g. DNA) is encrypted on the client side and sent to a server / service 2. Encrypted data is processed (e.g. DNA analysis, generation of health risk reports etc.) on the server and sent back to the client 3. Results are decrypted on the client side Would love to see this applied on a commercial scale. The data leak at 23andMe underscores that this is important. When using services on your sensitive data no longer requires direct access, it should also lower the barrier of entry for new companies in this space, since the trust barriers are lowered if you never hand over your unencrypted data anyway. So another benefit of this tech is that it could ultimately also lead to a more vibrant ecosystem of services that rely on processing personal data. https://warpcast.com/s5eeo/0xcb591e74

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Interesting PoC for using fully homomorphic encryption (FHE) for DNA analysis. We saw with 23andMe that storing sensitive data is very risky. Hope this will mature and that there will be more of this. With FHE, services don’t necessarily have to see and store your unencrypted data in order to process them. https://www.zama.ai/post/build-an-end-to-end-encrypted-23andme-genetic-testing-application-using-concrete-ml-fully-homomorphic-encryption

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the ~first-ever~ FHE Summit is happening tomorrow at EthCC gnosis guild's @auryn will showcase the magic of FHE through a collusion-resistant secret ballot system full lineup here via @fheonchain https://www.fhesummit.com/

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