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karametade (OP)
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June 18, 2021, 03:17:22 PM |
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Eric Choy Matrix CMTOHi All， Good morning. Yesterday, we had the demo video released, and a big credit to Ken/Alfred/Francois/Ferran and those who heat up the discussion in the group, and today we are releasing article 1, thanks to Alfred and Dr. Chadwin. I trust you have the same mixed feeling as I do. It is understandable though after being quiet for a while. It takes time and effort. Good thing is that this is just one of the steps, and we keep having different things coming up, and this is good to re-build the confidence and image. Allow me to address some questions here : 1. The project team execute different projects with a purpose, and you shall see the links between each other when other stuff coming out. Just remember the keyword that we have developed an efficient blockchain in 1.0 and 2.0 focuses on blending NFT, digital arts with AI on this blockchain. 2. You ask about price. It is understandable. However, do not forget all investment has risks. Just think about over 90% of ICO project either dead, inactive or run-away. It is true that the project team has been quiet. Now we are back (can you feel the vibe?) and we are the 10%, and we keep delivering. Price up or down is out of the control of the project team, but the delivery of roadmap is. Equally important, think about what you can contribute to the project from whatever angle, things like Like, Tweet, Comment, Share etc, these are easy, and this is definitely helpful. 3. I set up a group named MATRIX-Skull Club ( https://t.me/matrix_skullclub). The Skull group will be used for discussing blockchain technology, trend, latest applications, what do those mean to MATRIX, which is more mature and hopefully build the future of Matrix together. If you are interested, feel free to join but we will clear inactive members from time to time. Cheers
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Even in the event that an attacker gains more than 50% of the network's
computational power, only transactions sent by the attacker could be
reversed or double-spent. The network would not be destroyed.
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Advertised sites are not endorsed by the Bitcoin Forum. They may be unsafe, untrustworthy, or illegal in your jurisdiction.
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karametade (OP)
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Matrix AI Network Bio Wallet — Part 1Suppose you could travel back in time to 2010, how much Bitcoin would you buy? 10 thousand, 100 thousand or 1 million? Most people today would not hesitate to put all their money in Bitcoin if given a second chance. Let us assume we are back in 2010, and you have got your hands on one million Bitcoin. You would be faced with a dilemma that many people still have. Where do you store all these coins? How do you make sure they are still safely yours ten years later in 2021? We at Matrix AI Network think we have found the answer. How much Bitcoin have people lost in the past ten years? To put the importance of the first part into context we will briefly investigate the amount of Bitcoin that is presumed to be lost. Let us simply assume that each Bitcoin address that has not seen any change in a long while is a Bitcoin that has been lost. (There is no way to know for sure if these are really lost). Then a total of 5 million Bitcoin (or 200 billion dollars at today’s value) are in this limbo state, whether their private keys are lost for good, or their owners have simply forgotten about them. To put it into context that is more than the net worth of the wealthiest person in the world. Although your Bitcoin might not be worth much today, the future value is unknown and one would not want to lose access to them. Where then is a safe place to keep all your Bitcoin?Before we offer our solution, we go over some choices that are currently available. 1. PC wallets (for example Bitcoin Core), 1 star, not recommended.PC wallets were a popular choice in the early years of Bitcoin. A PC wallet keeps your Bitcoin in your hard drive. Most of the presumed lost Bitcoin mentioned previously are stored in PC wallets. Of course, Bitcoin was not of much value in those days, and many people were simply in it for the hype, mined some Bitcoin on their PC and soon forgot about them. They would be in for significant disappointment many years later when they tried to gain access to their wallets. Even if they still had held onto their five/six-year-old ‘antique’ of a PC, they would soon discover that the hard drive is most likely worn out and useless. Needless to say then, storing your precious coins in a PC wallet is the last thing we would recommend. The Internet is full of horror stories of people who had it all, but then lost it all in the space of just a few clicks. Source: https://www.jinse.com/blockchain/563678.html(This post tells the story of someone who used to have more than a hundred Bitcoin in his hard drive. He got himself another hard drive to backup those Bitcoin. For extra caution, he decided to format this new drive first to clear it of any malware. He unfortunately formatted the wrong one!)  Source： https://baijiahao.baidu.com/s?id=1664476519453821723&wfr=spider&for=pc(This post mentions someone who mined a dozen Bitcoin back when mining was easy. Many years later, she realized she had long since forgotten her private key.) 2. Crypto exchanges (Binance etc), 3 stars. If you plan to store a considerable number of crypto assets on a crypto exchange, you are advised to use caution. Incidences are not rare where crypto exchanges fall victim to theft, and losses are often staggering. The Mt. Gox hack of 2014 saw 850,000 Bitcoin stolen. It dealt a heavy blow to the crypto industry and arguably was the trigger for the bear market that followed. Even reputable exchanges like Binance have fallen victim to theft multiple times. Although to be fair, Binance always cover the loss, the takeaway here is that even powerful exchanges with talented and resourceful people are not always impregnable. Ironically, larger exchanges are more vulnerable as they often have more hackers eyeing their wealth. But what about the smaller exchanges you ask? They could take all your crypto assets and disappear at any moment. There are far too many instances of this happening. As we can see, although exchanges are convenient places for storing a small number of crypto assets that you plan on trading with, they are not the ideal choice for holding large quantities for the longer term. 3. Mobile wallet app (like Imtoken), 3 stars.As the crypto market gets larger, more mobile wallet apps are being developed. These wallets range from centralized ones to decentralized ones. Like with exchanges, centralized wallets run the risk of being hacked. Decentralized wallets on the other hand are safe in most situations, but it is up to you, the user, to keep your private key safe. Most people write down their private keys on a piece of paper and stash it away in a presumably safe place, but this can also be lost or destroyed. Having your private key stolen or losing your phone would be a nightmare and very costly. Today many people are in the habit of using mobile wallets casually not knowing that their asset safety is actually under threat. Practices such as neglecting to scan your phone regularly for viruses, sending a private key backup to yourself over the internet or storing it in a virtual cloud could all expose your assets to the possibility of being lost or stolen. If you do choose to keep a physical copy of your private key, the challenge then becomes how to safeguard it against damage or theft. Essentially the same concerns you have for any material wealth you possess. Therefore, mobile wallets are also not the best place to keep your assets, especially if you want to be sleeping peacefully at night. 4. Ordinary hardware wallets, 4 starsThere are a bunch of hardware wallet options available on the market at present and most could offer better protection than the mobile wallets described above. However, you still need to ensure that you can remember the password/PIN and mnemonic. Should you lose or misplace them, your assets are also likely gone for good. Do any of these options seem ideal? Is there a wallet that is both more secure and easier to use? Let us welcome the Matrix Bio-Wallet. 5. Matrix Bio-Wallet, 5 stars, highly recommendedWhat is the Matrix Bio-Wallet? Bio-wallets are devices that use biometric information as identifiers. The Matrix BioWallet is a hardware wallet that revolves around finger vein recognition. It supports the unlocking of your wallet as well as the signing of transactions using one’s finger vein, thus saving people from the stress of having to remember a password/PIN, and more. In theory, you would never lose access to the Bio-Wallet by forgetting your password. One may still wonder, how is finger vein recognition different from fingerprint recognition? Simply put, the difference lies in the level of security. Finger vein recognition works by sending a beam of infrared through your finger to get the image of your vein. It utilizes the latest and greatest biometric recognition technologies, and you can count on it to perform this with speed and precision. As part of a living organism existing underneath your skin and tissues, your vein is impossible to replicate using non-living objects. Fingerprints on the other hand are easy to replicate and you cannot avoid leaving your fingerprint on various scanner surfaces, which could expose your assets to unwanted risk. Besides, finger vein recognition is less affected by your finger’s condition in comparison to fingerprint recognition. The latter could be affected by water or dirt on the finger, or even skin damage. Not to mention that some people do not have distinguishing fingerprint features or even more extreme some people are born without fingerprints. This table summarizes the comparison amongst different options.  Please stay tunned about our second and third article featuring the details of Matrix Biowallet and Business Value, which are to be released next week.
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karametade (OP)
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Matrix AI Network Bio Wallet — Part 2 Introduction to the Matrix Bio-Wallet  A Brief SummaryThe Matrix Bio-Wallet is a point-based finger vein recognition wallet for storing your crypto assets. It will support various features built on the Matrix Mainnet. After completion of finger vein registration features such as wallet creation, wallet login, wallet import, wallet backup, signing transactions, balance check, transaction history check, etc will all be supported. Below we will briefly describe finger vein registration and wallet creation. Creating a new wallet using the Matrix Bio-WalletFirstly, it is important to note that the application will generate a mnemonic. You should keep a copy of the mnemonic in a safe place, as this is the only guaranteed way to recover your wallet back. Similar to the Ledger seed phrase. 1. Connect the finger vein recognition hardware to the power source and then via the NFC module to your smartphone which has the application downloaded. 2. After the hardware is connected, enter your finger vein data by placing your finger on the scanner. You may be required to scan your finger a few times for the scanner to get the data it needs. The data will then be encrypted and sent to the mobile application. 3. The application will then begin decrypting the data. This process is almost instantaneous. 4. Upon decryption, the data is then used to generate a password in the form of a keystore file and this is saved in the application. 5. Congratulations! You have now successfully created a new wallet using the unique veins in your finger. Now that you have created a new wallet, you can use your finger vein to unlock it or to sign a transaction. You can rest assured knowing your crypto asset is well protected in the Matrix Bio-Wallet. Matrix Bio-Wallet is so powerful but when will I be able to purchase one?Although the Matrix Bio-Wallet is only a prototype it is already ahead of the industry with a false rejection rate under 0.01%, a false acceptance rate under 1/600,000,000. The algorithm response time is also less than one second. As with any prototype it still needs improvement and vigorous testing before going to market. We will let the community know as soon as we can when it will be available to the public. Who developed the Matrix Bio-Wallet?The Matrix Bio-Wallet is developed by Matrix AI Network. Thanks to Matrix’s powerful team and mature ecosystem, the Matrix Bio-Wallet is already incredibly stable, secure, and of course innovative. What is the Matrix public chain and how is this connected to the Bio-Wallet?Matrix AI Network is a public chain that brings together artificial intelligence and blockchain. As a pioneer in both fields, Matrix is in the perfect position to employ artificial intelligence to address blockchain’s bottlenecks such as efficiency, speed, security, usability and flexibility to build an auto self-improving blockchain ecosystem. The Matrix public chain is an ever expanding ecosystem. It includes:MANTA — a platform to learn to use AI for people with no background MANAS — a distributed AI service platform MANART — a platform for generating and authenticating NFT assets MANITO — a platform for industry network open services As mentioned in our previous article the Matrix Bio-Wallet is a next-gen technology that the team has ingeniously designed for the benefit of the ecosystem. Equipped with finger vein recognition algorithms developed by Matrix’s AI scientists, it is an innovation that is ahead of the industry thanks to its high performance and early mover advantage. As more people start to use the Bio-Wallet, more traffic will be directed to applications on the Matrix public chain. Currently, most hardware and software wallets do not have their own public chains. All the traffic and transaction fees generated still flow into the pockets of other public chains. While in the case of the Matrix Bio-Wallet, all the traffic and transaction fees generated will directly benefit Matrix. The Bio-Wallet is built on the powerful Matrix public chain, which has an advantage over other projects like Ethereum in the form of transfer speed, transfer fees and TPS. Every transaction signed through the Matrix Bio-Wallet uses computing power from Matrix Mainnet. As people use the Bio-Wallet, the Mainnet will get data traffic, and users’ personal information will be encrypted and stored in the IPFS network on the Mainnet. As more people start using the Matrix Bio-Wallet, demand will increase for MAN as MAN tokens are the Universal Pass on the Matrix AI Network and transaction fees will also be paid in MAN. Of note it is at a rate far lower than ETH and many other projects. Overall, the Matrix Bio-Wallet beats other crypto wallets in security, efficiency and transaction fee rate. It is clear that the Bio-Wallet will be a crucial piece of Matrix’s ecosystem, guaranteeing a secure transaction and identification for services on Matrix platforms. Matrix AI Network leverages the latest AI technology to deliver on the promise of blockchain.
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karametade (OP)
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June 23, 2021, 05:25:45 PM
Last edit: June 23, 2021, 05:38:07 PM by karametade Merited by revelacaogr (3) |
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Matrix AI Network BioWallet — Part 3 How Does The Matrix Bio-Wallet Empower Users In Different Everyday Scenarios? (1/2)  Credible Digital IdentificationTo understand how this will be used we first need to learn more about credible digital identification. In today’s world there is an ever growing need to move from paper-based documentation to digital documentation. Although this has been adopted by nearly all spheres of our everyday life our most important personal documents (ID, driver’s license and passport to name a few) are rarely converted into digital ones due to counterfeiting concerns. International transportation is the most obvious real life example of where digital ID documentation would make life a lot simpler. The author of this article has on several occasions forgotten to bring his ID card when travelling with the train and although you can get a temporary ID card made for you at the station, the queue is long and could lead you to missing the train. Oh how much easier life would be if this was no longer a problem. So why do people/governments not use digital IDs? There may be various reasons but the most obvious is how does one prove you are you?Since IDs are correlated with one’s personal biometric information, the current common practice is to use face or fingerprint recognition, which of course has its flaws. For instance, the face recognition on our smartphones is incapable of telling someone from his twin. While fingerprint readers are even easier to fool using fake fingerprints. Therefore, when it comes to people’s important personal data, finger vein recognition is currently the logical way to go. Since this recognition method requires input from a living organism, it is impossible to fake, and not even twins have identical finger veins. Hopefully in the not-too-distant future credible digital ID (based on finger vein recognition) will become a reality and we will no longer have to take our physical ID along when taking the train, visiting Internet cafes or travelling abroad. The constant worry about having your ID card stolen and the subsequent hassle that is involved in obtaining a new one will become worries of the past. Decentralized ID (DID)Essentially, a decentralized ID is a digital identification document that is not issued by centralized authorities. In this day and age, managing one’s digital identity can be quite a challenge with many people having different accounts on different platforms, each with its own complicated authentication process. The author for one has no less than a hundred such accounts and often forgets the password to the accounts seldom used like his social security card or residence card. By creating a single digital identification system that is reliable enough to be used across all platforms, we would then be able to do away with the need to register a new account every time we access new platforms. Decentralized ID has a number of advantages and if the above is not motivation enough to switch to a DID system the following should provide further support.
Privacy: With the help of mechanisms such as smart contracts, targeted authorization, etc., access can be specifically granted to certain services. Efficiency: If one single identification method can be used across platforms, no one has to be bothered by the intricate registration requirements each company has. DID goes beyond this still. A decentralized identification system will let the service provider know whether the user’s ID information is genuine without giving away his/her personal information. For instance, if an exchange needs to verify your ID, the DID system can do the verification job and report back to the exchange without letting it have your ID card/passport number. As crypto investors, we all receive scam calls from time to time. You may ask how the scammer was able to get a hold of your information? They know our names and phone numbers, even the fact the we have invested in cryptocurrency. It goes without saying that we have been betrayed by the cryptocurrency exchanges we have registered on. With DID, one would no longer have to worry about one’s privacy. However, with all its clear advantages, one thing DID cannot do is to authenticate the truth of someone’s identity, and if the ID information entered into the system is false in the first place, the rest then becomes pointless. For this reason, centralized identification is still indispensable, although it is inefficient, as the authorities behind it lend credibility to its results. Therefore, credibility is still the biggest hurdle to DID, while the Matrix Bio-Wallet is created to be the perfect solution. The Bio-Wallet uses finger vein recognition to verify the users’ identity. It is both credible and decentralized. Since each Bio-Wallet is a vessel that contains a user’s DID information, a system of these can provide accurate identification while guaranteeing privacy and ease of use. DID will be the foundation of tomorrow’s Internet, and the Matrix Bio-Wallet is the missing piece of this puzzle! Bio-wallet video https://www.youtube.com/embed/hg5aiMsuoqQ The Beauty of the Matrix AI Network https://klattavuy.medium.com/the-beauty-of-the-matrix-ai-network-bdd24d5d20f7 Matrix AI Network leverages the latest AI technology to deliver on the promise of blockchain.
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karametade (OP)
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Partnership with NerveNetwork  We are pleased to announce that Matrix AI Network has established a partnership with NerveNetwork for a cross-chain protocol. With this protocol, we are expecting better liquidity, more comprehensive ecosystem from both parties. Equally important is the benefits it can bring to the upcoming NFT platform.Please stay tuned for more updates. Note: NerveNetwork is a decentralized digital asset service network based on the NULS micro-services framework, which uses the NULS ChainBox to develop a blockchain cross-chain interaction protocol. https://twitter.com/MatrixAINetwork/status/1408411570951106565https://www.matrix.io/blog_17.htmlhttps://nerve.network/scene
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karametade (OP)
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Matrix AI Network BioWallet — Part 3 How Does The Matrix Bio-Wallet Empower Users In Different Everyday Scenarios? (2/2)Personal Data Ownership
To elaborate further on our previous article about credible digital identification and the concept of decentralized identity (DID) we thought it important to discuss personal data ownership. A Gaming Example If you are an avid gamer, you have probably come across the ongoing lawsuit between one of the largest Chinese-based gaming companies and the operator of a virtual item trading platform. The lawsuit is based on the claim that the gaming company owns all in-game items and that players are only allowed to use their accounts to participate in the game but have no right to trade them amongst each other. Many gamers have spent tens of thousands of dollars on in-game purchases so why should the gaming company decide whether players can trade those in-game items. Not very fair one might say and the need for a form of decentralized ownership becomes very clear. Personalised advertising, where do they get your information?
It is an all to common occurrence nowadays that when watching a TikTok or YouTube video, you get a pop-up advert for the exact same smartphone cover you browsed for online. How does TikTok/YouTube know this? Sometimes after chatting with a friend on WeChat, you go to JD and find the exact same product you talked about right there in JD’s recommendation list. Where did JD get this information? Even if the above examples do not bother you much, what about the possibility that those sensitive personal items you searched for on Taobao or Amazon pop-up in your browser just when you are in an important business meeting? What a catastrophe that could be. Why is your private information shared among all these unrelated companies? And, for that matter, why should apps owned by the same company be allowed to share your data among themselves? Surely, there is no economic interest involved. They are just helping each other out for free, right? In the future, the need for privacy protection will only become greater. To be able to give back to users the ownership of their personal data, we need an ID management system that is a layer above all these apps and platforms. If Taobao or Amazon want your data, it should pay you for that permission. Rather than letting some random company profit from your personal data, you should be the one profiting directly. Blockchain has laid a solid foundation for this, but we still need a good DID verification tool, and the Matrix Bio-Wallet is the answer. Yet that is not all. The Bio-Wallet could become an integral part of the foundation of the next internet. IPFS (InterPlanetary File System)
IPFS is the cornerstone for the next-generation internet as it has a significant advantage over the current HTTP protocol. Data saved on IPFS is permanent. There is no risk of losing it or deleting it by accident and importantly decentralized sharing as well as point-to-point saving is supported for all types of data. This is a traceable system that keeps track of every change you make and since the hash does not change, every piece of content can be traced back to the original source. Seeing that the traceability of any piece of content always remains valid, the result is reliable. IPFS has a vast number of use case scenarios.
It will deliver an upgraded experience for today’s apps, including content creation platforms, cloud storage platforms, art platforms, etc. Use Case Scenarios of IPFS  https://www.yunhe24.com/article/101295  One common use case scenario is cloud storage. Not only is IPFS perfectly compatible with these apps, but it will also improve the download speed and lower the price of current cloud storage services. That said, data security may be the biggest concern for cloud storage. Does it make sense to store my data on IPFS? Is it a safe option?
While IPFS itself does not offer data encryption, the Matrix Bio-Wallet is more than capable of keeping your files safe without the need to remember complicated passwords. It is the perfect complement to IPFS in terms of data safety. To answer the question posed in our first article. If you had the chance to time travel back to 2010, be sure to take the Matrix Bio-Wallet with you. It is would be all you need to keep your 1 million Bitcoin safe. It is however also clear from everything noted above that Bio-Wallet will also be the answer of the future. Matrix AI Network leverages the latest AI technology to deliver on the promise of blockchain.
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karametade (OP)
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July 01, 2021, 09:45:34 AM |
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Matrix AI Network — Summary of Progress Report1. The upgrade of our walletIt supports the NFT, including the asset management and the Wormhole protocol which is to increase the liquidity of Matrix. It is already deployed. 2. The upgrade of browserIt supports NFT as well, for example the search and also the transaction logs. It has been deployed. 3. Prototype of BioWalletThis an add-on, and given it’s an add-on. We have the first demo showcasing creating a wallet and signing a transaction, abs also a second demo about minting an NFT. It is more than just a security. It also serves as an identity in a crypto world. 4. MANTAstands for Matrix AI Network Training Assistant. It includes the Auto Machine Learning, which is trying to lower the barriers for those who do not have the technical background in AI, and distributed spare computing power, including the GPU mining. And we have now the single node testing done and we are going to have multi node mining as well. We will have a video demonstration on this. 5. MANASWe are trying to build a decentralised AI service platform. Instead of a B2C perspective, we are trying to look at it from a C2C angle. With C2C, we can leverage all the creativity or knowledge or wisdom of the whole world to make AI work instead of relying on one sole platform. We will have one demo ready for test. In the demo we will have one AI application, and the purpose is to run through the whole process including the upload, the creation, the use and also the payment, etc Conclusion:We do deliver what we promised in the roadmap for the stage 1, and we will continue for the stage 2 Everything we do, we do have strategy behind. We need you, each member of you, to spread the word for us so that more will appreciate the beauty of Matrix AI Network. https://matrixainetwork.medium.com/matrix-ai-network-summary-of-progress-report-83eb32285bdf https://twitter.com/MatrixAINetwork/status/1410517165082611714?s=20 Matrix AI Network leverages the latest AI technology to deliver on the promise of blockchain.
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karametade (OP)
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Matrix AI Network is now connected to OEC, BSC and NULS on Nabox through NerveNetwork!  Cross-Chain DeFi Wallet with Decentralized Identifier for Web 3.0  https://nabox.io/
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karametade (OP)
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July 06, 2021, 10:38:04 AM
Last edit: July 08, 2021, 04:31:53 PM by karametade Merited by revelacaogr (3) |
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Matrix — Catalyst for the AI Big Bang (Part 1) The Era of AIThe concept of artificial intelligence was first brought up at a workshop at Dartmouth College in 1956. Since its birth, scientists and engineers have put in decades of research and development work, and numerous ideas and theories have been raised. Today, AI has found its way into every aspect of our life. The popularity of self-driving cars has changed the transportation and logistics sectors. AI is helping doctors make more accurate diagnoses. AI-powered search engines now help us acquire knowledge and information. We can also train AI to read texts and take over custom service jobs. AI is also seeing ever-growing use in the financial sector, especially in long-term investing, short-term underwriting, undertaking and crediting.  As time goes on, AI will only develop at a faster pace, which we have seen in AlphaGo beating Lee Sedol after merely one year of training. In a recent computer vision experiment, AI algorithms were capable of recognising over one thousand types of photos. In photo recognition tests, AI algorithms scored a 98% accuracy compared to a 95% by humans. This result is six times better than that of five years ago. Applying the same technology to clinical diagnosis, we have AI outdoing the best human doctors in diagnosing lung and thyroid cancers, and as an assistive tool, AI is already widely utilised in hospitals. Blockchain-Empowered AI — AI That Cooperates with HumansWill the future be like one of those science-fiction films where AI takes over the world and destroys mankind? This sets us pondering and keeps scientists searching for a solution. Tom Gruber, developer and co-founder of Siri, said, “What is the purpose of AI? To make our devices smarter so they can do jobs no one wants to do. Today, AI has beaten man in chess and weiqi. Maybe in the future, some super-AI will rule over mankind? No, AI shouldn’t compete with man, but we should cooperate. With the help of artificial intelligence, we should all have superhuman powers. For example, maybe people with cerebral palsy will be able to communicate with Siri, and Siri will also help us with a range of things from navigation to answering complicated questions.” But how do we make sure AI cooperates, and not competes with man? Matrix AI Network has the answer. In its 1.0 version, Matrix uses AI to empower its blockchain, drastically improving its performance, security and social benefit. Now on to Matrix 2.0. This is an AI ecosystem managed using a high-performance blockchain.  In this ecosystem, AI is managed and utilised based on a decentralised blockchain network, and the operation and decision-making of individual AI nodes are done through the consensus mechanism of the entire network. This structure is proof against the possibility of some awakened AI taking over the world. More importantly, AI nodes in this decentralised network can cooperate with each other to better serve us humans. In the Era of AI, Everyone Will Own a Personal AITo pave the way for the explosive growth of AI, we must lower its entry barrier first. This will bring about more diversity, and like in nature, diversity is always key to a vibrant ecosystem. For this very purpose, Matrix is launching MANTA, a platform to drastically lower the entry barrier to AI. With its help, everyone can have his/her personal AI in the future. Corporate AI service providers are not the best choice for individualised AI services for two reasons: 1. Companies have the need to control production costs. 2. People will be reluctant to give companies access to their personal data. So the ideal situation is where people train their own AI algorithms to serve their personal needs, and MANTA will help people turn this into a reality. https://matrixainetwork.medium.com/matrix-catalyst-for-the-ai-big-bang-part-1-7e76f7af9525 Matrix AI Network leverages the latest AI technology to deliver on the promise of blockchain.
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karametade (OP)
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July 07, 2021, 09:21:33 PM
Last edit: July 08, 2021, 04:30:50 PM by karametade Merited by revelacaogr (3) |
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Matrix — Catalyst for the AI Big Bang (Part 2)The Mechanism of MANTA
— MATRIX AI Network Training Assistant is a distributed auto-machine learning platform built on Matrix’s highly efficient blockchain. It is an ecosystem of AutoML applications based on distributed acceleration technology. This technology was originally used in the image categorisation and 3D deep estimation tasks of computer vision. It looks for a high-accuracy and low-latency deep model using Auto- ML network searching algorithms and accelerates the search through distributed computing. MANTA will have two major functions: auto-machine learning and distributed machine learning. Auto-Machine Learning — Network Structure Search
Matrix’s auto-machine learning adopts a once-for-all (OFA) network search algorithm. Essentially, it builds a supernet with massive space for network structure search capable of generating a large number of sub-networks before using a progressive prune and search strategy to adjust supernet parameters. This way, it can sample from the supernet structures of various scales but whose accuracy is reliable, and this can be done without the need to micro-adjust the sampled sub-networks for reducing deployment costs. Take image categorisation for example. Below is an illustration of the network structure MANTA adopts. This structure consists of five modules. The stride of the first convolutional layer of each module is set to 2, and all the other layers are set to 1. This means each SU is carrying out dimensional reduction while sampling multi-channel features at the same time. Finally, there is a SoftMax regression layer, which calculates the probability of each object type and categorizes the images.  Meanwhile, the picture below is an illustration of the network structure MANTA adopts for deep estimation. There are six searchable modules in this structure. The first three SUs are mainly used to carry out dimensional reduction and subtract the multi-scale feature image from the left and the right views. There is a correlation layer in the middle for calculating the parallax of the left and the right feature images. The last three SUs are for further subtracting the features of the parallax. Subsequently, the network magnifies the dimension-reduced feature image through six transposed convolutional layers and correlates to the feature image produced by the six former SUs through a U link to estimate deep images of different scales.  Distributed Machine Learning — Distributed Data/Model Parallel Algorithm
MANTA will use GPU distributed parallel computing to further accelerate network search and training. Distributed machine learning on MANTA is essentially a set of distributed parallel algorithms. These algorithms support both data parallel and model parallel for acceleration. The purpose of distributed data parallel algorithms is to distribute each batch of data from every iteration to different GPUs for forward and backward computing. A GPU uses the same sub-model for each iteration. A model parallel is different from a data parallel in that for every iteration, MANTA allows different nodes to sample different sub-networks. After they each complete their gradient aggregation, the nodes will then share their gradient information with each other. Distributed Data Parallel Algorithm Workflow
1. Sample four sub-networks from the supernet 2. Each GPU on each node of every sub-network carries out the following Steps: (1) Access training data at a number according to the set batch size; (2) Broadcast the current sub-network forward and backward; (3) Accumulate gradient information that is broadcast backward. 3. Aggregate and average the gradient information accumulated by all GPUs and broadcast them. (Carry out All Reduce.) 4. Every GPU uses the global gradient information it receives to update its supernet; 5. Return to step 1. Distributed Model Parallel Algorithm Workflow (Taking Four Nodes for Example)
1. GPUs located on the same node sample the same sub-network model. We have four different sub-network models in total. 2. All GPUs located on the same node carry out the following steps: (1) Access training data at a number according to the set batch size; (2) Broadcast the sub-network sample from the node forward and backward; (3) Calculate the gradient information that is broadcast backward; (4) GPUs on the same node aggregate and average the gradient information and store the result in the CPU storage of the node. 3. The four nodes each aggregate and averages the gradient information it gets in step 2 and broadcast the result to all GPUs; 4. Every GPU uses the global gradient information it receives to update its super net; 5. Return to step 1.  New Public Chain of the AI Era
MANTA will take Matrix one step further towards a mature decentralised AI ecosystem. With the help of MANTA, training AI algorithms and building deep neural networks will be much easier. This will attract more algorithm scientists to join Matrix and diversify the AI algorithms and services available on the platform. Competition among a large number of AI services will motivate them to improve so that users will have more quality services to choose from. All of this will lay a solid foundation for the soon-to-arrive MANAS platform. Secondly, MANTA will lower the entry barrier to AI algorithms. This will no doubt attract more developers and corporate clients to the Matrix ecosystem, which will further solidify its value and boost the liquidity of MAN. Finally, as more people use MANTA, there will be greater demand for computing power in the Matrix ecosystem. For miners, this will bring them lucrative rewards and in turn attract more people to become computing power providers for Matrix, further expanding the scale of its decentralised computing power distribution platform. All this will help Matrix optimize marginal costs and provide quality computing power at a better price for future clients, and this forms a virtuous cycle. MANTA is a vital piece in Matrix’s blueprint. It will fuel Matrix’s long-term growth and set the standard for other public chain projects.  https://matrixainetwork.medium.com/matrix-catalyst-for-the-ai-big-bang-part-2-a96ba3ea739c Matrix AI Network leverages the latest AI technology to deliver on the promise of blockchain.
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karametade (OP)
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July 08, 2021, 04:27:54 PM |
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Matrix — Catalyst for the AI Big Bang (Part 3)Market Value of MANTA
Whether for the burgeoning AI industry or for blockchain, MANTA is an epoch-making product with exceptional creativity and social benefit. The Crypto Mining Disruptor
With the blockchain industry gaining huge traction, some people have claimed blockchain to be the single greatest invention of the 21st century. But despite its luring promises, this industry is also plagued by huge wastes of energy and computing power associated with mining. Forward-thinking individuals and organisations have been crying for “mining with public benefit”, and here comes MANTA to save the day. Auto-Machine Learning is the core of MANTA. Not only does this AI technology make mining beneficial to the society, its distributed cloud computing also helps to put idle computing power to efficient use, thus saving us a lot of resources. In the future, we expect MANTA to inspire more PoW-based blockchain projects to redesign their consensus mechanism, or they may directly connect to MANTA. Hash computing will be replaced with a more socially beneficial way of mining. The Catalyst for the Cambrian Explosion of AI
Today, most AI algorithms are trained through machine learning, which has two challenges: High entry barrier. Like with the Internet, the explosive growth of the mobile economy was made possible only by the popularisation of programming languages, which brought more software engineers than ever into designing mobile apps; Expensive computing power. Today, most companies and individuals have varying degrees of demand for AI services, but few can afford the high cost. The arrival of MANTA is expected to change this situation. One core feature of MANTA is machine learning. This will effectively lower the barrier to machine learning and bring people with basic computer knowledge but no sophisticated AI background on board. This way, people with creative ideas will be able to design their own AI applications and services without having to become masters of AI programming. Small companies will be able to launch AI services without recruiting more staff. AI will see a diversity of new uses as more people participate. The other core feature of MANTA is distributed learning based on idle computing power on Matrix’s network and marketplace. As idle computing power will be cheaper than what centralised providers can offer, companies will no longer need to spend a fortune building their own AI training platforms or renting such services. This cost-efficient way of training AI models will give companies an edge over competitors, and more and more corporate clients will be interested in what the AI market has to offer. A lower entry barrier, more participants together with diversified algorithms and services, all thanks to MANTA, will pave the way for the Cambrian explosion of AI.  The Cornerstone for the Digital Society
The advent of the mobile economy has brought us into an increasingly digitalised society. Maybe in the not-too-distant future, everyone will have a digital version of himself/herself, and AI will be our most trustworthy assistant in the digital world. Every client will appreciate services customised to his/her individual needs. The same is true when it comes to AI services, but due to cost efficiency limitations, this remains a dream, and MANTA aims to turn this into a reality. Since MANTA can deliver users from data privacy worries and the impossible task of mastering AI programming, it will enable people to train their own AI models and create personalised AI services. This will help us move into a highly efficient future society where everyone has access to personalised services, thus eliminating resource waste caused by service centralisation. https://matrixainetwork.medium.com/matrix-catalyst-for-the-ai-big-bang-part-3-dbb3daf179f7 Matrix AI Network leverages the latest AI technology to deliver on the promise of blockchain.
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karametade (OP)
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July 09, 2021, 08:51:34 AM |
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Intro to AutoML by Steve Deng Following the delivery of stage 1, we have the MANTA and MANAS demos. I am writing this article to help our community understand why machine learning is so important and their challenges. According to the definition of Wikipedia, “Machine learning (ML) is the study of computer algorithms that improve automatically through experience and by the use of data.” Machine learning algorithms typically train a model to make decisions or predictions on the basis of data. Deep learning is a special family of machine learning techniques that use multiple layers of artificial neural networks as the representation of models. In the past decade, ML, especially deep learning, has made unprecedented breakthroughs in various applications such as image processing, face recognition, natural language processing, predictive maintenance, and scientific discovery. Today our daily life heavily depends on intelligent applications empowered by machine learning models.  Building machine learning models, however, turns out to be challenging. First, data scientists analyze the problem and data samples so as to design the form of models. Second, the parameters in a given model, which amounts to millions or even hundreds of millions, have to be trained with power computing machines. The above two steps typically need to be iterated before a satisfying model can be derived. As a result, the models building process has become the bottleneck of development in many AI applications. The problem is even more pressing in IoT applications where a huge number of models have to be developed. AutoML, i.e. automatic machine learning, is a series of technologies to build a model with little or even without the need for human intervention. The original ideal of AutoML can be traced back to early 2000’s. The original idea was to incrementally tweak a template consisting of pipelined machine learning modules with adjustable parameters. With deep neural networks (DNNs) based model representations become more prevalent, now an important part of AutoML is neural architecture search (NAS), which is to automatically search a proper network architecture as well as its parameters (trained by input data) and hyper-parameters (traditionally set by human experts).To do this, we need three key techniques. First, we define a solution space that covers (almost) all possible forms of deep neural networks. An early approach is to represent a deep neural network as a chain of operations, but recent works tend to use directed acyclic graph (DAG) as a unified representation. With such a representation, each DNN is equivalent to a point in the solution space with a specific encoding and an initial solution can be randomly picked up as the starting point of NAS. The second technique is a search strategy, which select the next solution according to the evaluation of the current solution. The essential point is the search strategy can find a sufficiently optimized solution without the need to traverse the whole solution space. Today we use evolutionary algorithm or reference learning as the search strategy. The third technique is an evaluation method that quickly assesses the quality of the current solution. Of course, this objective can be attained by fully training the model corresponding to the current solution and then calculating the error functions. But this would be too slow and thus we are more oriented to exploiting an approximate estimation. With the above techniques, we can build an optimization framework that incrementally searches an optimized DNN model for a give problem. In the beginning state of NAS, it will take a few days to finish the whole process for a DNN model of medium complexity. Recent technical developments have shortened the time to hours on a reasonable number of GPU cards. State-of-the-art NAS frameworks are capable of generating DNNs models with good qualities in terms of prediction accuracy and computing efficiency on many applications. As a matter of fact, even many researchers already began to design DNNs by taking solutions derived by NAS. It should be noted that AutoML, especially NAS, is still a computing hungry job. In the search process, we need to train many different solutions and training needs a lot of computing power. In other words, GPU and other high-performance computing platforms are even more critical for the success of AutoML. https://matrixainetwork.medium.com/intro-to-automl-23183178900b
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karametade (OP)
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July 11, 2021, 02:25:46 PM
Last edit: July 12, 2021, 05:21:00 PM by karametade |
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Invitation for MANAS Stage 1 Demo TestWith reference to the stage 1 roadmap and the progress report, we are inviting community members to join a small scale private test of MANAS (MAN AI Service). 1. Scope of test The purpose of this test is to demonstrate the process of purchasing and running AI services, which involves logging in, topping up balances, making payments, and selecting and running services. In the future, we’ll also update API features such as creating AI services, etc. Please note it is not a fully functional platform, and we will have further development in our stage 2 and onwards. 2. What do you need for the test? You need a clear photo of the front of an inactive credit card. The AI model will automatically identify the card number, expiration date and other information. You may also use other objects to fake a credit card, for example, a piece of paper with a card number written on it, to test the AI model’s accuracy and error rate. MAN coins are needed in this test and will be returned after the test. 3. What AI involved: a. Image scanning, auto-partition and locating technology: Use AI to partition an image into different areas and define the function and meaning of each area. b. Optical character recognition technology: Recognize characters in designated areas using AI, and convert the result into digital information for use and storage. 4. What is special about this Matrix technology? a. High recognition rate, supporting credit/debit cards of various shapes and from various angles. b. All character groups recognizable, including card number, expiration date, CVV code, issuing bank and other information. c. Strong usability: 99.99% success rate in different environments. 5. How do I participate? Interested community members please send an email with all following information : 1. Title: MANAS Private Test 2. Email Body: (1) Your name: (2) Country: (3) How you can help promote MATRIX and/or optimize MANAS: 3. Deadline : on or before 12 July 4. Send to Community@MATRIX.io5. We will send test accounts to your email Eric Choy
@MATRIXCMTOhttps://twitter.com/MATRIXCMTO/status/1414162729095417861This is a small scale test to appreciate the flow of purchasing and using an AI service. It is stage 1 demo, and not yet fully functional. More features will come at stage 2 and onwards. https://www.matrix.io/blog_26.html https://twitter.com/MatrixAINetwork/status/1414162052462137346
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