MATRIX
  • MATRIX
    • NeuraMATRIX
      • Metatron
        • Redefining BCI Hardware with Precision, Power, and Privacy
      • Matrix AI Network Launches NeuraMATRIX:
        • Redefining Brain-Computer Interfaces with Cutting-Edge Hardware and Blockchain Technology
        • The Values
      • Event
        • NeuraMATRIX Open Platform Launch Event
      • Overview
      • Features
      • Brainwave Acquisition Hardware
      • Algrithm
      • Manual
      • Neura MATRIX: Bridging Brainwaves and Blockchain to Revolutionize the Future of Web3 (3/3)
      • Neura MARTIX——用脑波链接Web 3.0时代 (3/3)
      • Neura MATRIX: Bridging Brainwaves and Blockchain to Revolutionize the Future of Web3 (2/3)
      • Neura MARTIX——用脑波链接Web 3.0时代 (2/3)
      • Neura MATRIX: Bridging Brainwaves and Blockchain to Revolutionize the Future of Web3 (1/3)
      • Neura MARTIX——用脑波链接Web 3.0时代 (1/3)
  • FAQ of MATRIX AI Network
    • 1. Why does MATRIX exist?
    • 2. What is the vision and mission of Matrix?
    • 3. What are main features of MATRIX?
    • 4. How is MATRIX different?
    • 5. What exactly does MATRIX do?
    • 6. What is Matrix's consensus mechanism?
    • 7. What problems does the matrix solve?
    • 8. What makes The Matrix different? Why is it better?
    • 9. Can the Matrix be hacked?
    • 10. Is the old team still alive? How many people work in the team?
    • 11. What is the ticker?
    • 12. Where can I buy MAN coins?
    • 13. When we look at BSCscan, we see that all coins are kept in a single wallet. Is this true ?
    • 14. What is the token economy of Matrix? What is the total supply of MAN?
    • 15. Is MAN still an erc20 token? Where can I store MAN?
    • 16. My man tokens are still an erc20, how do I revert them to mainnet coins?
    • 17. Will there be a halving for MAN as in Bitcoin?
    • 18. From which accounts can I follow Matrix?
    • 19. What are your platforms and projects based on Artificial Intelligence?
    • 20. How can I contact you for more questions?
    • 21. What specs you using for Matrix node?
    • 22. What makes Matrix different from other artificial intelligence projects and companies?
    • 23. What is the Matrix Bio-Wallet?
  • AIRTIST
    • AIRTIST—Matrix’s Great Venture into AI Art
    • Introduction of AIRTIST
    • The Past and Present of AI Art
  • APEX
    • APEX: AI-Algorithmic-Stablecoin-to-Foreign-Currency Exchange Protocol
    • AI + ASC: The Future of DeFi
  • Energy Friendliness
    • Matrix AI - the solution for sustainable crypto mining
    • Matrix——More Public Benefit for Crypto Mining
    • New Direction for Public Chains in the Carbon Neutral Future
    • Unmanned Mine by Matrix and TBEA: Ushering in the Era of Energy 4.0 (1/3)
    • Unmanned Mine by Matrix and TBEA: Ushering in the Era of Energy 4.0 (2/3)
    • Unmanned Mine by Matrix and TBEA: Ushering in the Era of Energy 4.0 (3/3)
  • General
    • Release of Upgraded Web Wallet and Bounty Event
    • Important Announcement on ERC-20 Swap
    • Announcement about Manual Swap
    • 从霍金到黑客帝国——让科幻电影照进现实 (4)
    • From Stephen Hawking to Matrix: Making Science Fiction Come True (4)
    • 从霍金到黑客帝国——让科幻电影照进现实 (3)
    • From Stephen Hawking to Matrix: Making Science Fiction Come True (3)
    • From Stephen Hawking to Matrix: Making Science Fiction Come True (2)
    • 从霍金到黑客帝国——让科幻电影照进现实(2)
    • Website Update and Bounty Event
    • Block Reward Reduction
    • From Stephen Hawking to Matrix: Making Science Fiction Come True (1)
    • 从霍金到黑客帝国——让科幻电影照进现实
    • What Makes Matrix AI Different?
    • The Belt and Road Summary
    • Matrix——Catalyst for the AI Big Bang
    • Matrix and The Belt and Road
    • An Introduction to Wormhole
    • Intro to AutoML
    • Data, Computing, and Blockchain: The Fate of the Metaverse
    • A Brief History of Metaverse
    • 什么是虫洞/Wormhole?
    • MATRIX At A Glance (1.0 and 2.0)
    • Summary of MATRIX 1.0 and MATRIX 2.0
  • BioWallet
    • Suppose you could travel back in time to 2010, how much Bitcoin would you buy?
    • Matrix生态矩阵又添黑科技:指静脉识别Bio-Wallet安全钱包
    • Matrix Announces BioWallet to Make Crypto Funds More Secure
      • Matrix AI Network Bio-Wallet Content Contest
    • Matrix AI Network Bio-Wallet Content Contest
    • Matrix- PR Distribution
    • Matrix BioWallet Covered at Bloomberg
  • Guides
    • Matrix App Installation Process
    • How To get blacklisted Validator and Miners
    • User Guide for Matrix IDE
    • Things I wish I knew before using DEX-es and trading tokens
    • Sending a MAN transaction(JS, NodeJS), Intermediate level
    • Sending a MAN transaction(Java + Maven), Intermediate level
    • Reading a smart contract function (JS, NodeJS)
    • Matrix Mainnet Cross-chain Transfer Guide——BSC
    • man.json with new nodes info
    • How to Manually Move MAN Coins to Ledger
    • How to Create a Matrix Smart Contract
    • Generating a Vanity Address(JS, NodeJS), Beginner level
    • Distributed AutoML User Guide
    • Determine the addresses with activity and their respective balances for a specified number of blocks
    • Deploying a smart contract on Matrix AI Network using Truffle (Demo)
    • Create Mining Masternodes in Ubuntu (Linux) with Matrix AI Network
    • Matrix AI Network integration tutorials — Part 1: Converting an ETH address to MAN address (JS, Node
    • Calling a smart contract function (JS, NodeJS)
    • Accessing block info(JS, NodeJS), Beginner level
    • $MAN Staking Guide
    • Create a Portfolio
    • Matrix Mainnet Cross-chain Transfer Guide——BSC
    • Decentralized AI Economy Starts Here
    • How to Issue a Token Using Matrix Smart Contracts
    • How to Check the Validators and Miners of Each Mining Cycle?
    • Android Wallet for Test (III)
    • MANTA Miner Deployment
    • How to Issue a Token Using Matrix Smart Contracts
  • MANAS
    • MANAS—Empower AI with Blockchain
    • MANAS’s Business Model and Proxy Promotion Mechanism
    • MANAS—Make a Better Metaverse
    • MANAS Q&A
    • MANAS Source Code Uploaded to GitHub
    • MANAS Deployed to Matrix Mainnet
  • MANIA
    • MANIA—A New World of the Integration of NFT and AI
    • MANIA AI-Assisted NFT Trading
  • MANTA
    • Empowering Sora with MANTA from Matrix AI Network: Bridging the Computational Divide
    • Guide for Downloading Datasets
    • MANTA Update Announcement
    • Morpheus, intro
    • MANTA主网矿机部署文档
    • MANTA Mainnet Miner Deployment Guide
    • Distributed AutoML Front-end Functions and Panel
    • MANTA—The Brain of Tomorrow’s Metaverse
    • MANTA Miner Deployment
    • MANTA Welcomes Important Partners in Its Tests
  • MATRIX 1.0
  • MATRIX 2.0
  • MATRIX 3.0
    • Development Plan Q1–2025
    • Update to Milestones 4 and 5 of Phase 1
    • Update to Milestone 3
    • MATRIX 3.0 Phase 1 Stage 1 Deliverables — 2
    • MATRIX 3.0 Phase 1 Stage 1 Deliverables — 1
    • Morpheus
    • Avatar Intelligence: The Next Stop in the Web3 World
    • Web3世界的下一站 —— Avatar Intelligence
    • Matrix 3.0 Blueprint and Event Winner Announcement
    • Blueprint
  • Bi-Weekly Reports
    • 2025年5月上半月报
    • 1st Report Of May 2025
    • 2025年4月下半月报
    • 2nd Report Of April 2025
    • 2025年4月上半月报
    • 1st Report Of April 2025
    • 2025年3月下半月报
    • 2nd Report Of March 2025
    • 2025年3月上半月报
    • 1st Report Of March 2025
    • 2025年2月下半月报
    • 2nd Report Of February 2025
    • 2025年2月上半月报
    • 1st Report Of February 2025
    • 2025年1月下半月报
    • 2nd Report Of January 2025
    • 2025年1月上半月报
    • 1st Report Of January 2025
    • 2024年12月下半月报
    • 2nd Report Of December 2024
    • 2024年12月上半月报
    • 1st Report Of December 2024
    • 2024年11月下半月报
    • 2nd Report Of November 2024
    • 2024年11月上半月报
    • 1st Report Of November 2024
    • 2024年10月下半月报
    • 2nd Report Of October 2024
    • 2024年10月上半月报
    • 1st Report Of October 2024
    • 2024年9月下半月报
    • 2nd Report Of September 2024
    • 2024年9月上半月报
    • 1st Report Of September 2024
    • 2024年8月下半月报
    • 2nd Report Of August 2024
    • 2024年8月上半月报
    • 1st Report Of August 2024
    • 2024年7月下半月报
    • 2nd Report Of July 2024
    • 2024年7月上半月报
    • 1st Report Of July 2024
    • 2024年6月下半月报
    • 2nd Report Of June 2024
    • 2024年6月上半月报
    • 1st Report Of June 2024
    • 2024年5月下半月报
    • 2nd Report Of May 2024
    • 2024年5月上半月报
    • 1st Report Of May 2024
    • 2024年4月下半月报
    • 2nd Report Of April 2024
    • 2024年4月上半月报
    • 1st Report Of April 2024
    • 2024年3月下半月报
    • 2nd Report Of March 2024
    • 2024年3月上半月报
    • 1st Report Of March 2024
    • 2024年2月下半月报
    • 2nd Report Of February 2024
    • 2024年2月上半月报
    • 1st Report Of February 2024
    • 2024年1月下半月报
    • 2nd Report Of January 2024
    • 2024年1月上半月报
    • 1st Report Of January 2024
    • 2023年12月下半月报
    • 2nd Report Of December 2023
    • 2023年12月上半月报
    • 1st Report Of December 2023
    • 2023年11月下半月报告
    • 2nd Report Of November 2023
    • 2023年11月上半月报告
    • 1st Report Of November 2023
    • 2023年10月下半月报告
    • 2nd Report Of October 2023
    • 2023年10月上半月报告
    • 1st Report Of October 2023
    • 2023年9月下半月报告
    • 2nd Report Of September 2023
    • 2023年9月上半月报告
    • 1st Report Of September 2023
    • 2023年8月下半月报告
    • 2nd Report Of August 2023
    • 2023年8月上半月报告
    • 1st Report Of August 2023
    • 2023年7月下半月报告
    • 2nd Report Of July 2023
    • 2023年7月上半月报告
    • 1st Report Of July 2023
    • 2023年6月下半月报告
    • 2nd Report Of June 2023
    • 2023年6月上半月报告
    • 1st Report Of June 2023
    • 2023年5月下半月报告
    • 2nd Report Of May 2023
    • 2023年5月上半月报告
    • 1st Report Of May 2023
    • 2023年4月下半月报告
    • 2nd Report Of April 2023
    • 2023年4月上半月报告
    • 1st Report Of April 2023
    • 2023年3月下半月报告
    • 2nd Report Of March 2023
    • 2023年3月上半月报告
    • 1st Report Of March 2023
    • 2023年2月下半月报告
    • 2nd Report Of February 2023
    • 2023年2月上半月报告
    • 1st Report Of February 2023
    • 2023年1月下半月报告
    • 2nd Report Of January 2023
    • 2023年1月上半月报告
    • 1st Report Of January 2023
    • 2022年12月下半月报告
    • 2nd Report Of December 2022
    • 1st Report Of December 2022
    • 2nd Report Of November 2022
    • 1st Report Of November 2022
    • 2nd Report Of October 2022
    • 1st Report Of October 2022
    • 2nd Report Of September 2022
    • 1st Report Of September 2022
    • 2nd Report Of August 2022
    • 1st Report Of August 2022
    • 2nd Report Of July 2022
    • 1st Report Of July 2022
    • 2nd Report Of June 2022
  • AMA
    • October 2023 AMA
    • Sept 2023 AMA
    • MATRIX AMA - MAY 2023
    • Matrix April AMA Transcript
    • Matrix 3.0 Special AMA Transcript
    • AMA 1 on Neuroscience
    • AMA 2 on Neuroscience
    • April 2023 AMA
    • March 2023 AMA
    • MEXC北美AMA成绩单
    • MEXC North America AMA transcript
    • AMA成绩单-神经科学家为矩阵社区回答问题!
    • AMA Transcript - Neuroscientist Answered Questions for Matrix Community!
    • KuCoin Official Arabic Telegram Group Ask-Me-Anything (AMA) [ 3 March]
    • February 2023 AMA
    • KuCoin Official Japanese Telegram Group Ask-Me-Anything (AMA) [20 February]
    • January 2023 AMA
    • December AMA is Live
    • November AMA Transcript
    • October AMA Transcript
    • September AMA Transcript
    • August AMA Transcript
    • July AMA Transcript
    • 2022-06-AMA-Transcripts
  • MATRIX Fact Sheet
    • MATRIX Fact Sheet 1-10
    • MATRIX Fact Sheet 11-20
    • MATRIX Fact Sheet 21-30
    • MATRIX Fact Sheet 31-40
    • MATRIX Fact Sheet 41-50
    • MATRIX Fact Sheet 51-60
    • MATRIX Fact Sheet 61-70
    • MATRIX Fact Sheet 71-80
    • MATRIX Fact Sheet 81-90
    • MATRIX Fact Sheet 91-98
  • Android Wallet
    • Android Wallet for Test (III)
    • Android MAN Wallet For Test (II)
    • Android MAN Wallet For Test
  • CEO’s Message
    • MCP for Distributed AI Agents
    • Integrating MCP into MATRIX Blockchain!
    • Model Context Protocol on Blockchain!
    • Important Remarks from Our CEO
    • New message from Hong Kong!
    • Q1 2025 Development Plan
    • Happy Chinese New Year 2025
    • Strategic Partnership Between MATRIX and Blink.TV
    • New Year's message from Matrix AI Network CEO, Owen TAO!
    • Jehol Capital Foundation takes over ERC-20 MAN tokens
    • MAN will be listed on MEXC
    • 2022 Christmas Message
    • 2022 Mid-Autumn Festival Message
    • Goodbye 2021, Hooray 2022
  • M-Port
    • M-Port: An AI-Powered DID Platform based on Biometric Information (IV)
    • M-Port: An AI-Powered DID Platform based on Biometric Information (III)
    • M-Port: An AI-Powered DID Platform based on Biometric Information (II)
    • M-Port: An AI-Powered DID Platform based on Biometric Information
  • Team
    • Head/Manager of Ecosystem Development
    • Appointment
  • Event
    • Matrix KARMA EVENT: Participate, Contribute, Earn $MAN!
    • Web3 Mentor Naming Contest – Winners Announcement!
    • NeuraMATRIX Open Platform Launch Event Winners Announcement
    • Mid-Autumn Festival Contest Winners Announcement
    • MidAutumn Festival Contest : Capture the Magic of the Full Moon!
    • Give It a Name Contest Winners Announcements
    • AUGUST AMA WORD HUNT EVENT WINNERS ANNOUNCEMENT
    • Give It a Name Contest
    • MATRIX AUGUST AMA WORD HUNT EVENT
    • JULY AMA WORD HUNT EVENT WINNERS ANNOUNCEMENT
    • MATRIX AWARDED WORD HUNT EVENT
    • The Rewarding PERSONA Test Winners Announcement
    • The Rewarding PERSONA Test: Dive Into AI Innovation!
    • EXCITING ENGAGEMENT COMPETITION WINNERS ANNOUNCEMENT
    • EXCITING ENGAGEMENT COMPETITION
    • MATRIX LEARN & EARN EVENT
    • Zealy Giveaway Winners Announcement
    • MATRIX GIVEAWAY EVENT
    • NEW YEAR EVENT WİNNERS ANNOUNCEMENT
    • New Year Event Begins!
    • MATRIX TELEGRAM CHALLENGE WINNER ANNOUNCEMENT
    • MATRIX TELEGRAM CHALLENGE
    • OCTOBER QUIZ EVENT WINNERS ANNOUNCEMENT
    • OCTOBER QUİZ EVENT
    • Stage One Deliverables Event Winners Announcement
    • Stage One Deliverables Event
    • Guessing Contest Event
    • 📢 We're pleased to announce our Next #AMA with Matrix AI Network at Binance Live On 8 June 2:00 PM
    • Learn how #AI & #VR unlocks new realities in crypto in our next Twitter Space with
    • Join the MATRIX on Zealy.io and Win Big!
    • HK Web 3 Festival
    • AMA with MEXC
    • Matrix AI Network & Neuroscience AMA Question Collection
    • Matrix AI Network Birthday cum Chinese New Year Video & Photo Contest
    • Matrix Ambassador—Knight
    • Ambassador Program
    • Website Update and Bounty Event, Announcement of the Winners
    • New Year's Letter Challenge
  • Morpheus
    • 基于Morpheus的个性化Chatbot平台——Persona(第四部分)
    • Morpheus-based Personalized Chatbot Platform: Persona - Combining EEG Technology for the We(Part 4)
    • 基于Morpheus的个性化Chatbot平台——Persona(第三部分)
    • Morpheus-based Personalized Chatbot Platform: Persona - Combining EEG Technology for the We(Part 3)
    • 基于Morpheus的个性化Chatbot平台——Persona(第二部分)
    • Morpheus-based Personalized Chatbot Platform: Persona - Combining EEG Technology for the We(Part 2)
    • 基于Morpheus的个性化Chatbot平台——Persona(第一部分)
    • Morpheus-based Personalized Chatbot Platform: Persona - Combining EEG Technology for the We(Part 1)
    • We're thrilled to invite you to join us in testing the remarkable Morpheus Upgrade 2.0
    • Unveiling the Matrix AI Network Morpheus Upgrade
    • A Bilingual Pretrained Model Based on MATRIX Mainnet
    • Morpheus Available For Initial Testing
  • Media
    • MATRIX AI Network CEO Owen Tao Shares Vision for Web3, BCI, and AI at Jinse 星享会 in Hong Kong
    • 首席执行官Owen TAO在数字全景峰会上讨论Web3中的人工智能和BCI
    • CEO Owen TAO Discusses AI and BCI in Web3 at Digital Panorama Summit
    • Matrix AI Network and DEPIN
    • Blending neuroscience with AI on blockchain: Matrix AI Network and NeuraMatrix partnership
  • 3.0/Neuroscience
    • NeuraMatrix – The Better Neural Link for MetaVerse
    • NeuraMatrix – A Better Neural Link for the Metaverse
    • NeuraMatrix – The Better Neural Link for MetaVerse
    • NeuraMatrix – A Better Neural Link for the Metaverse
  • Intelligent Contract
    • Advancements of Intelligent Contract Version 2
    • 智慧合约里程碑交付
    • Intelligent Contract Milestone Update:
    • Revolutionizing Smart Contract Development with Accessibility and Security
    • Intelligent Contract Testing: Explore the Future of Smart Contracts
    • 智能合约
    • Intelligent Contract
  • DEPIN
    • MATRIX——专为AI服务的全球分布式资源共享网络 (4/4)
    • Empowering the AI Revolution: The Global Distributed Resource Network of MATRIX (4/4)
    • MATRIX——专为AI服务的全球分布式资源共享网络 (3/4)
    • Empowering the AI Revolution: The Global Distributed Resource Network of MATRIX (3/4)
    • MATRIX——专为AI服务的全球分布式资源共享网络 (2/4)
    • Empowering the AI Revolution: The Global Distributed Resource Network of MATRIX (2/4)
    • MATRIX——专为AI服务的全球分布式资源共享网络 (1/4)
    • Empowering the AI Revolution: The Global Distributed Resource Network of MATRIX (1/4)
  • AI Agent
    • Contextus: The Context Management and Routing Hub of MATRIX (3/3)
    • Contextus:MATRIX 的上下文管理与路由中枢(3/3)
    • Contextus: The Context Management and Routing Hub of MATRIX (2/3)
    • Contextus:MATRIX 的上下文管理与路由中枢(2/3)
    • Contextus: The Context Management and Routing Hub of MATRIX (1/3)
    • Contextus:MATRIX 的上下文管理与路由中枢(1/3)
    • Your ultimate web3 guide MANTOR is LIVE!
    • Give It a Name Contest – Help Us Name Our AI Agent Web3 Mentor!
    • How Can Web3 Mentor Help You?
    • MATRIX’s AI Agent Core Modules
    • The Matrix's first AI Agent is on the way!
    • AI Agents Empowered by Morpheus and Their Role in Advancing Avatar Intelligence (Part 4)
    • AI Agents Empowered by Morpheus and Their Role in Advancing Avatar Intelligence (Part 3)
    • AI Agents Empowered by Morpheus and Their Role in Advancing Avatar Intelligence (Part 2)
    • AI Agents Empowered by Morpheus and Their Role in Advancing Avatar Intelligence (Part 1)
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  1. MANAS

MANAS Q&A

Q: What is the workflow of MANAS?

A: Take plant recognition for example:

User submits a plant image through API or on MANAS website;

The plant image is uploaded to the IPFS cache;

The system accesses the distributed AI model for plant recognition;

The model uses the spare computing power of miners to carry out the computing task;

The result from computing will be sent back to the user, who will be charged a fee;

The fee will be shared among the providers of both the algorithm and the computing power.

The image will be deleted from the IPFS cache.

Q: How do the services on MANAS work?

A: Every service on MANAS corresponds to an algorithm model. Currently, the services launched on MANAS include debit/credit card recognition, document recognition, animal recognition, plant recognition, face recognition. They all use image-based recognition, which is the niche area Steve Deng’s team specializes in.

In the following services, Matrix uses FasterR-CNN network. This is an upgraded convolutional neural network, and its workflow is as below:

When a colour image is uploaded, it first goes through the CNN layer, where its features will be extracted. Matrix uses a pre-trained VGG16 network for feature extraction. The VGG network removes fully connected layers keeping only the convolutional parts;

The features extracted from the convolutional layer will be divided into two groups and sent to RPN (Region Proposal Network) and the ROI pooling network respectively. RPN is responsible for proposing a region for the image and separating foreground and background. This information will assist in making the final conclusion;

The ROI Pooling is responsible for collecting the inputted feature maps and proposals and extracting proposal feature maps to be sent for subsequent object type identification on the fully connected layer;

The classifier is used to make the final conclusion regarding the type and location of the image.

The diagram below demonstrates the entire network structure:

Q: How are the services on MANAS trained?

A: The training process of MANAS service models is shown in the diagram below. First, we need to label the data, and the method of labeling depends on the specific issue. For image recognition, these labels are image types. A label should include the subject’s position information in the image (usually a rectangle shape containing the subject) and its type. The data still needs further pre-processing such as normalizing. Afterwards training can start by determining the value of neural network parameters (usually through weighting and biasing).

At the beginning of the training process, these parameters are assigned random values through probability distributions. Next, we enter the data and labels into the neural network simultaneously. The neural network will compute the data based on the current weight and output the label resulting from computing. Usually, this label will be different from the previous label, and the difference is the loss function. Based on the loss function, we can get the error contribution (or gradient) of every parameter in the neural network by calculating partial derivatives, and update weights based on error contribution. This process repeats through several iterations until the loss function is close to 0, which means the deep neural network based on the trained data is already capable of drawing accurate conclusions. At this point, we should further test the network model’s accuracy by introducing other data than have been used for training. If found lacking in accuracy, the network may need structural changes or further data training.

Q: What data is used for training AI service models on MANAS?

A: For training the plant recognition service, we mainly used the image database of ImageNet. For debit/credit card and document recognition services, we have used several databases that be accessed for algorithm training but not for data searches such as Alipay’s database, as well as expired document photos from public security and banks. We used a small sample size for training to guarantee quality. For training face recognition models, we used public data on the internet along with data from paid third-party volunteers.

Q: Are all the services currently available on MANAS trained using MANTA?

A: Currently, the services on MANAS are trained using centralized methods before their decentralized deployment. After completing the development and testing for MANTA, the Matrix team will switch to MANTA for model training. We will attract more algorithm scientists to use MANTA for training models.

Q:What advantages do AI services on MANAS have compared with those on other platforms?

A: Besides decentralization, scalability, accessibility to anyone, image recognition algorithms on MANAS have an edge over those on other platforms thanks to tech innovations.

Generally speaking, the biggest hurdle to image recognition is that images come in different dimensions. Take facial recognition for example. There can be smaller or larger faces in an image, and to recognize them all is not easy. To solve this problem, most platforms use slide windows to scan images and image pyramids whose dimensions can change to detect faces of different sizes. However, this method is not ideal in either speed or accuracy. MANAS’s facial recognition uses a fully convolutional network capable of end-to-end proposal region accessing with drastically improved speed and accuracy compared with traditional methods.

The Matrix AI Service Platform MANAS will be welcoming a major update in the third quarter. Besides introducing many highly-functional AI applications, this update will also bring to people a function that allows them to access AI services through API. And this video will show you how to do that. First, open your browser and enter manas.matrix.io. Once you’re in the MANAS home page, click your account, which is on the top right corner. This should bring you to a new interface. Once you’re there, click the User API and then you’ll see an access token. Now what we need to do is to create a new token. So we click New Token and we save this newly-created token by clicking Save Token. Now you’ll need this token later so please keep it somewhere safe. After obtaining your access token, you can start creating your “post request”, as shown in the pictures here. And after that, you can integrate API into your applications or services, and you can access them using API.

Now, generally speaking, the workflow of API is shown in the chart here. The user will send an order to the corresponding service from a terminal that’s integrated with API. The terminal will send a request to the API server, and the server will make a response and send a feedback back to the user.

Let’s use an example to explain this process: say for instance, an App developer wants to develop a plant recognition App. And for his App, he wants to use our plant recognition service available on MANAS. So now he uses an account to create an API and integrates this API into his App. And now when the user wants to recognize a plant, he’ll simply take a photo of this plant and upload the photo. And the API will send a request to MANAS’s distributor AI server and the AI server will access a plant recognition algorithm and distribute the task to an idle miner for computing. The results from computing will be sent back to the App developer’s server, and the user will receive feedback saying that this flower is probably Calliopsis. After the user gets his answer, the App developer will be charged a certain amount of MAN on his account on MANAS for a fee for accessing API, and this fee will be shared by the service provider and the miner. The addition of this new feature gives people an alternative to using MANAS’s services directly on the platform. Now developers can also integrate these services into their own applications. A plant recognition App can help children learn about plants, and developers can also integrate MANAS’s services into the workflow of their own Apps. For instance, a Fin-tech App can integrate MANAS’s face recognition for payment verification. With the support of API, MANAS will be in a better position to commercialize his services and put them to full use in different scenarios. Industries will now be able to access AI services on a massive scale to improve their efficiency, and financial services will also be able to make this part of what they offer. In the long run, every user will be able to find in the ecosystem, the AI service geared for their individual need.

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Last updated 2 years ago

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