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@Ramo

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Since 06.06.2026

Deep learning tackles single-cell analysis – A survey of deep learning for scRNA-seq analysis [R](reddit.com)
Hello, I recently finished reading this survey paper: Deep learning tackles single-cell analysis – A survey of deep learning for scRNA-seq analysis, which comprehensively covers 25 different methods across 6 subcategories for applying deep learning to scRNA-seq analysis. To summarize the methods from this paper, I prepared a table containing the Category, Method, Purpose, Architecture, Metrics, Explanation, and the specific Novelty of each method. I hope you find this summary useful. https://preview.redd.it/n3okgq66t1eh1.png?width=1662&format=png&auto=webp&s=fb71b306d3ffc346f243b04ccc9fe7a14076fbd7 https://preview.redd.it/njs5lq66t1eh1.png?width=1662&format=png&auto=webp&s=1dcdebbef3f2746b1e94f7182c9e4a11f10a7f12 https://preview.redd.it/zsv2yq66t1eh1.png?width=1662&format=png&auto=webp&s=05ecb58355b6a32a25d32cc25a2a9e500f9cd489 submitted by /u/teraRockstar [link] [Kommentare]
The attacker behind the May $5.8M TrustedVolumes exploit has returned 1,122 ETH (~$2M)(reddit.com)
Original exploit (May 7, 2026): TrustedVolumes (an independent DeFi liquidity provider and RFQ market maker used by 1inch Fusion) lost approximately $5.87M–$6.7M in a single transaction. The stolen assets were ~1,291 WETH, 206k USDT, ~17 WBTC, and ~1.27M USDC. The attacker (same operator behind the March 2025 1inch Fusion V1 exploit) used a vulnerability in TrustedVolumes’ custom RFQ swap proxy. Recent development (July 17, 2026): One of the exploiter’s wallets sent 1,122.12 ETH (≈ $2.068 million at the time) back to a TrustedVolumes-controlled address. More info https://x.com/Tokensfund/status/2078334883777352090 submitted by /u/b4basit [link] [Kommentare]