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CTXC

Cortex  

#CTXC

CTXC Price:
$0.22
Volume:
$11.4 M
All Time High:
$2.41
Market Cap:
$2.2 M


Circulating Supply:
10,039,628
Exchanges:
11
Total Supply:
299,792,458
Markets:
15
Max Supply:
299,792,458
Pairs:
14



  CTXC PRICE


The price of #CTXC today is $0.22 USD.

The lowest CTXC price for this period was $0, the highest was $0.222, and the exact current price of one CTXC crypto coin is $0.22249.

The all-time high CTXC coin price was $2.41.

Use our custom price calculator to see the hypothetical price of CTXC with market cap of BTC or other crypto coins.


  CTXC OVERVIEW


The code for Cortex crypto currency is #CTXC.

Cortex is 4.8 years old.


  CTXC MARKET CAP


The current market capitalization for Cortex is $2,233,717.

Cortex is ranking downwards to #768, by market cap (and other factors).


  CTXC VOLUME


There is a large volume of trading today on #CTXC.

Today's 24-hour trading volume across all exchanges for Cortex is $11,418,936.


  CTXC SUPPLY


The circulating supply of CTXC is 10,039,628 coins, which is 3% of the maximum coin supply.

Note the limited supply of Cortex coins which adds to rarity of this cryptocurrency and increases perceived market value.


  CTXC EXCHANGES


CTXC is available on several crypto currency exchanges.

View #CTXC trading pairs and crypto exchanges that currently support #CTXC purchase.


  CTXC RESOURCES


Websitewww.cortexlabs.ai
Whitepaperwww.cortexlabs.ai/Cortex_AI_on_Blockchain_EN.pdf
TwitterCTXCBlockchain
Redditr/Cortex_Official
TelegramCortexOfficialEN
DiscordDJZeEXrsxF


  CTXC DEVELOPER NEWS



【周报】Cortex团队技术周报20230117

ZKML. — 1. MRT 修复 InferType 后模型量化信息丢失的问题; 2. MRT 修复 InferShape 错误问题,并增加 SetInputShape 接口; 3. MRT 调整模型 astype 算子同 TVM 一致为 Cast; 4. MRT 添加 Simulator Pass,模拟原始精度作为参考; 5. MRT 修复量化精度损失问题; 6. CVM 增加 DLTensor 接口数据,参数作为 NodeAttrs 解析选项; — ZkRollup. — 1. 测试修复部分crate/crypto里面的数据serialize不符合预期的问题,将sclar单独分离(macro展开太慢),添加单元测试; 2. 添加zion_tx,zion_op 等类型(实现from_public_data,to_public_data…等方法),完善单元测试; 3. 添加某些数据的float格式的pack和unpack(uint96); 4. 处理tx -> op 转换,public_data -> op 转换过程中可能出现的error,(python版本忽略,默认正确性); — Cortex 全节点. — 1. Remove fake store ; 2. Add file cache and verify torrent information.; 3. Fix some errors and bugs; 4. common/mclock: add alarm; — 市场运营. — 1.Cortex NFT 展馆功能测试; 2.Cortex 新版浏览器功能测试; 3.Cortex NFT展馆教程编辑: 4.NFT 社区积分玩法策划调研; 5持续搜集、翻译、原创深度相关内容,NFT及DeFi等领域,尝试开拓全新的社区、媒体内容运营方式; 6.持续对市场热门项目进行关注并分析项目逻辑及经济模型等。 | Website | GitHub |...




【周报】Cortex团队技术周报20230104

MRT/CVM. — 1. MRT 更新了精度测试代码,调整并测试了采样数据的模型输出结果 2. 调整了 Calibrate Pass 的参数设置:absmax ,修复 FuseBatchnorm 的问题 3. 重构了 Quantiza Pass 代码,修复了 Infer Precision 问题 4. 修复了 FixPoint Infer Type 问题,添加了子图验证功能 5. 模型参数调整为 Int8,减少了模型大小 6. CVM 封装算子接口代码,并完成了测试代码 — ZkRollup. — 1. 修复了 ZK for ETHF 无法提交证明上链的错,Chain ID Error 2. Zion 参考实现 Rust 版本,加速交易执行速度 3. 实现了 poseidon hash,babyjubjub, benchmark 与 pubkey 的压缩算法 — Cortex 全节点. — 1. core: reset txpool on sethead 2. implement resettable freezer 3. fix tracer crash due to balance nil 4. return proper error from debug_TraceTransaction — 市场运营. — 1.Cortex NFT 展馆功能测试; 2.圣诞节NFT活动发布; 3.NFT 社区积分玩法策划调研; 4持续搜集、翻译、原创深度相关内容,NFT及DeFi等领域,尝试开拓全新的社区、媒体内容运营方式; 5.持续对市场热门项目进行关注并分析项目逻辑及经济模型等。 | Website | GitHub | Twitter | Facebook | Reddit | Kakao | Mail | Discord 【周报】Cortex团队技术周报20230104 was originally published in Cortex Labs on Medium, where people are continuing the conversation by hi...




[Cortex Updates] 2022–106호

Cortex에 관심 가져주시는 여러분, 안녕하세요:) Cortex Korea가 전하는 Project Updates, 지금 시작합니다 ‘u’개발 진행 현황 MRT & CVM MRT Calibrator, FuseBatchNorm, FuseAvgPool Pass를 구현하였다., MRT Sampling, Discretor 및 Quantizer Pass를 구현하고 대칭 선형 이산 방법을 사용하여 모델을 정량화하였다., 모델을 TVM Relay Expr로 내보내기 위해 FixPoint Pass를 구현하였다., MRT 내부 ​​추적의 디스크 가져오기 및 내보내기 기능을 실현하고 마지막 실행 결과를 빠르게 가져오기, ZkRollup ZkProver GPU 코드 병합 및 업데이트하여 64 크기 블록을 해결하는 데 평균 6초 소요;, ZkMatrix 프론트 엔드 패키징 최적화, 비동기 가속, CDN 가속;, 전체 노드 Cortex 체인의 모델 아카이브 데이터 백업 프로세스를 개선하고 NFT 계약을 구축하였다. stable diffusion을 사용하여 사진을 무작위로 생성하고 모델 및 데이터 주소로 NFT를 보냈습니다. NFT 계약 주소: 0x60fA83Ea5dEC41f1D1a2724E06A40BE86aF325da, Cortex 모델 데이터를 위한 IPFS 스토리지 플랫폼을 구축하였다. 링크: cortex.infura-ipfs.io;, Cortex Theseus: 블록을 collectLogs로 전달, Cortex Theseus: HTTP 쓰기 제한 시간 처리 개선​, 운영 진행 현황 Cortex 브라우저 플랫폼 기능 테스트;, NFT 커뮤니티 포인트 게임 ...




【周报】Cortex团队技术周报20221220

MRT/CVM. — 1. MRT 实现了 Calibrator,FuseBatchNorm,FuseAvgPool Pass; 2. MRT 实现了 Sampling, Discretor, 和 Quantizer Pass,采用对称线性离散方法量化模型; 3. 实现了 FixPoint Pass 将模型导出到 TVM Relay Expr,所有的数据均为整形; 4. 实现了 MRT 内部 Trace 的磁盘导入导出功能,快速导入上次运行结果 ZkRollup; 1. ZkProver GPU 代码合并更新,平均耗时 6s 求解一个 64 大小区块,加速 5 倍; 2. ZkMatrix 前端打包优化,异步加速,CDN 加速等等。 — Cortex 全节点. — 1. Cortex 链上模型归档完善数据备份流程,构建 NFT 合约,并采用 stable diffusion 随机生成图片,现已给模型和数据地址发送 NFT。NFT 合约地址为: 0x60fA83Ea5dEC41f1D1a2724E06A40BE86aF325da; 2. Cortex 搭建了模型数据的 IPFS 存储平台:cortex.infura-ipfs.io;; 3. CortexTheseus: Pass block into collectLogs; 4. CortexTheseus: improve HTTP write timeout handling。 — 市场运营. — 1.Cortex 新版浏览器进行基础功能测试; 2.圣诞节NFT活动策划; 3.NFT 社区积分玩法策划调研; 4持续搜集、翻译、原创深度相关内容,NFT及DeFi等领域,尝试开拓全新的社区、媒体内容运营方式; 5.持续对市场热门项目进行关注并分析项目逻辑及经济模型等。 | Website | GitHub | Twitter | Facebook | Reddit | Kakao | Mail | Discord 【...




【周报】Cortex团队技术周报20221206

MRT/CVM 1. MRT/CVM 开始对接 TVM 实现自动转换部署,并完善统一的接口协议,便于之后的 ZKML 设计; 2. MRT 实现 RelayExpr 对应的 Symbol 表示,支持相互转换; 3. MRT 实现了算子层面的 Calibrator,获取到模型中间结果; 4. 基于 Symbol 表示搭建了 Python Transformer 的框架,测试通过 FuseBatchnorm 等 pass; 5. 调研并测试了 TVM from_mxnet,from_pytorch 等前端 API,跑通 TVM 模型/数据集导入操作; 6. CVM 校验算子正确性,包含 CPU,FORMAL,CUDA 版本; ZkRollup 1. 前端数据压缩,优化加载速度; 2. ZkProver GPU 调整代码,优化数据结构并测试; Cortex 全节点 1. Cortex 链上模型归档构建处理阶段,从 cerebro api 获取模型数据信息并测试; 2. TorrentFS 解决下载不稳定的问题,并重新封装了下载功能; 3. Cortex 官方 Remix 编辑器更新版本至 0.8.15,链接参考:cerebro.cortexlabs.ai; 市场运营 1.Zkmatrix Gitbook上线; 2.Cortex Labs基金会参与ETHSANFRANCISCO 2022 比赛入围Top10; 3.《ZK Section 9 — ETHSANFRANCISCO 2022》技术文档发布; 4.测试Cortex Wallet 功能; 5.Cortex 新版浏览器进行基础功能测试; 6.圣诞节NFT活动整理; 7.浏览器多维度测试调研; 8.NFT 社区积分玩法策划调研; 9.持续搜集、翻译、原创深度相关内容,NFT及DeFi等领域,尝试开拓全新的社区、媒体内容运营方式...




ZK Section 9是什么?

大数据的爆炸式增长及其可用性推动了人工智能(AI)的发展。但人工智能模型在应用于现实世界的场景时需要格外谨慎,因为人工智能模型可能在关键应用中造成不正确或误导性的结果。人工智能模型的执行也会占用过多的资源,包括内存、磁盘和CPU/GPU。更不用说,在大多数情况下,结果本身不能被复制验证。所有的不足导致开发人员找到了一种被称为模型量化的通用解决方案。在量化过程之后,人工智能模型可以重现执行,用于推理。有了零知识证明(ZKP)系统之后,人工智能模型甚至可以在恒定的时间内快速地对结果进行验证。 目前,zk-SANRKS 的证明时间太慢,无法应用于现实世界的人工智能使用,许多项目一直在努力解决这个问题。 vCNN[1] 提出了一种新的高效可验证卷积神经网络框架,以提高 2020 年的证明性能。 ZEN[2] 团队提出了一种 SIMD 编译器优化,可以在大型有限域元素中编码多个 8 位整数,而不会产生压倒性的提取成本。同时,zkCNN[3] 创建了一个 ZKP 方案,允许 CNN 模型的所有者向其他人证明模型确实可以计算数据样本的预测,而不会泄露有关模型本身的任何信息。 Mystique[4] 提出了一种改进的用于矩阵乘法的 ZK 协议,与最先进的技术相比,它产生了 7* 的改进。并且...




ZKML Competition

ZK Section 9 — ETHSANFRANCISCO 2022 - — Introduction - Big data has provided tremendous insights that enable machine learning and neural networks. However, artificial intelligence models need extra caution when applied to real-world scenarios as AI models could cause incorrect or misleading results in critical applications. Furthermore, AI model execution could also take up too many resources including memory, disk, and CPU/GPU. Not to mention that the results themselves cannot be reproduced for verification in most cases. All these shortages lead developers to find a generalized solution known as model quantization. After the quantization process, an AI model can reproduce execution for inference. With zero-knowledge proof (ZKP) system, AI models can Even be verified easily and quickly in constant time. Currently, the proving time in zk-SANRKS is too slow to be applied to real-world AI applications and many projects have been working to solve this issue. vCNN[1] proposed a new efficient verifiable convolutional neural network framework to increase proving performance in 2020. The following ZEN[2] team proposed a SIMD compiler optimization that encodes multiple 8bit integers in large finite field elements without overwhelming extraction cost. In the meanwhile, zkCNN[3] created a ZKP scheme that allowed the owner of the CNN model to prove to others that the prediction of a data sample could be indeed calculated by ...




【周报】Cortex团队技术周报20221115

ZkRollup 1. ZKMatrix 调整钱包插件逻辑和界面显示; 2. ZkNode 优化 RPC 链接逻辑,增加稳定性; 3. ZK Section 9 项目参加 ETHSanFrancisco 2022,获得 Finalist 等3项奖励并开源参赛代码: github.com; 4. ZKML 调研跑通 PyTorch 训练, TVM IR 解析和 Circom 翻译器等流程. Cortex 全节点 1. Cortex 归档链上模型,设置模型 FTP 链接,协同模型 NFT 工作; 2. Update P2P discover: improve discv5 NODES response packing; 3. Update P2P node: implement per-source timeout in FairMix; 4. Torrent FS connections adjust; 5. Update boot nodes and reset max peers; 6. Fix native tracer, tracker and dependencies. 市场运营 1.测试ZKMatrix钱包插件功能; 2.NFT素材整理; 3.浏览器多维度测试调研; 4.NFT 社区积分玩法策划调研; 5.持续搜集、翻译、原创深度相关内容,NFT及DeFi等领域,尝试开拓全新的社区、媒体内容运营方式; 6.持续对市场热门项目进行关注并分析项目逻辑及经济模型等。 | Website | GitHub | Twitter | Facebook | Reddit | Kakao | Mail | Discord 【周报】Cortex团队技术周报20221115 was originally published in Cortex Labs on Medium, where people are continuing the conversation by highlighting and responding to this story.




[Cortex Updates] 2022–105호

Cortex에 관심 가져주시는 여러분, 안녕하세요:) Cortex Korea가 전하는 Project Updates, 지금 시작합니다 ‘u’개발 진행 현황 ZkRollup ZKMatrix 지갑 플러그인 로직과 인터페이스 디스플레이를 조정하였다., ZkNode RPC 링크 로직을 최적화하고 안정성을 향상시켰다., ZK 섹션 9 프로젝트는 ETHSanFrancisco 2022에 참가하여 결선 진출자를 포함하여 3개의 상을 받았다. 엔트리 코드: github.com;, PyTorch 교육, TVM IR 구문 분석 및 Circom 번역기 및 기타 프로세스를 연구하였다., 전체 노드 Cortex 모델을 체인에 보관하고 모델 FTP 링크를 설정하고 모델 NFT 작업을 진행하였다., Update P2P discover: improve discv5 NODES response packing;, Update P2P node: implement per-source timeout in FairMix;, Torrent FS connections adjust;, Update boot nodes and reset max peers;, Fix native tracer, tracker and dependencies.​, 운영 진행 현황 ZKMatrix 지갑 플러그인 기능 테스트;, NFT 재료 정리;, 브라우저 테스트 조사 연구;, NFT 커뮤니티 포인트 게임 플레이에 대한 계획 및 연구;, [Cortex Updates] 2022–105호 was originally published in Cortex Labs on Medium, where people are continuing the conversation by highlighting and responding to this story.




[Cortex Updates] 2022–104호

Cortex에 관심 가져주시는 여러분, 안녕하세요:) Cortex Korea가 전하는 Project Updates, 지금 시작합니다 ‘u’개발 진행 현황 1. ZkRollup ZkMatrix 출시. zkmatrix.cortexlabs.ai, ZkNode 다중 Prover 병렬 작업의 문제를 수정합니다., ZkNode 메인넷에서 블록을 스캔하는 옵션을 추가하고 ZkRollup을 빠르게 시작하고 데이터베이스 인덱스를 증가시켜 쿼리 성능 속도를 높입니다., ZkProver GCC 버전 컴파일 문제를 수정하고 명령줄 옵션을 업데이트하였다., ZkWallet 디스플레이 문제, 프런트 엔드 로직 처리를 수정하였다., 2. ML&MRT&CVM MRT v3 관련 코드 병합, CPU 및 GPU에서 MRT 모델의 정확도와 시간 소모를 테스트하고 관련 문서를 업데이트, 3. 전체 노드 golang-kv : add rollback func for ttl atomic tx and fix close func race;, invalid transactions ddos protect;, backoff timer leak fix;, state database disk func cleanup;, P2p message rate calculation optimized;, Prevent OOM situation due to large reorg logs;, Check the error from pre-images generation;, Cortex 전체 노드 클라이언트 버전이 v1.10.32로 업데이트되었습니다.​, 운영 진행 현황 ZkMatrix 제품 기능 테스트, ZkMatrix와의 도킹 비즈니스 협력, Web 3.0, NFT 및 DeFi 분야의 제품에 대한 연구;, 시장에 인기 있는 프로젝트에 계속 관심...



CTXC vs AAVE | A-Z | Topics | ISO 20022


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