Matrix AI Network integration tutorials — Part 1: Converting an ETH address to MAN address (JS, NodeJS), Beginner levelThis tutorial is for educational purposes only, I’m not responsible for any losses, damages, or other liabilities which may occur by using any info/code provided here(or anywhere else it is posted).  I’m under no circumstances a Javascript professional (or a JS Ninja/Expert)! The code is not production ready! (only for learning purposes) In this guide, I’m going to show you how to convert an ETH address to an MAN address (Mainnet). The language picked for this guide will be JavaScript with Node.js as a runtime environment. (as a prerequisite you’ll have to install Node.js, https://nodejs.org/en/,make sure to also install npm, an editor like https://code.visualstudio.com/ and create a folder on which we will have the project on, somewhere) Let’s first start by opening a cmd prompt. To open a terminal you can type cmd into the start search bar, the start search bar is at the bottom left of the screen (if no themes were applied) After opening the terminal we are going to cd into the folder we created (in my case, AddressCoverter): cd AddressConverter Now we are going to create a new npm package by running npm init in a command prompt (pointing at a folder of your choice, I’ll use my folder on Desktop for this test, named AddressConverter) and provide the right info (or skip through it by pressing enter and writing yes at the end of the ‘setup’ (Is this Ok?), it should look similar to this:  Also, run the following commands on the cmd you got open at the package location (we install some packages which we will be using for our mini-application): npm install buffer npm install polycrc npm install bs58 Now open Visual Studio Code on that folder location, create a file named index.js, install any required extensions (js lint or anything that is suggested by Visual Studio Code for node.js/js) and let’s start coding. We start by including the modules we previously installed:  Now let’s create a function that checks if the address we provided is VALID (has valid characters, we will use regex for that, make sure that the provided address starts with 0x then it is followed by a string of 40 hexadecimal characters: a…f, A…F, 0…9, the i modifier is used to perform case-insensitive matching):  Now we call another function named getConvertedManAddress, this one will convert it into a Matrix AI Network Mainnet format (Base58, the excluded characters are 0, O, I, l):  Whole program ( https://github.com/CognitiveProcessing/Matrix-AI-Network-Code-Snippets/blob/main/js/ethToManAddressConverter.js):   For `0x5Fd71CF221e450E619638338bD21871229835261` it should return `MAN.2LSfiVSmKx8PD9YUbdVGuHEhDY3Jz` For `0x5Fd71CF221e450E619638338bD21871229835261z` it should return `0x5Fd71CF221e450E619638338bD21871229835261z is not a valid ETH address` For more documentation on the packages used, you can check: https://www.npmjs.com/package/bs58https://www.npmjs.com/package/bufferhttps://www.npmjs.com/package/polycrcAlso, check out the official Matrix AI Network Developer Portal: dev.matrix.io
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New Direction for Public Chains in the Carbon Neutral Future (Part One)Opportunities and Challenges of the Carbon Neutral Era
An important theme of the global economy this year is carbon neutrality. Ironically, this year also saw more people than ever investing in crypto, which has long been criticized for its energy waste. In the 2021 Global Blockchain Computing Power Conference, economist, president of the Cryptocurrency Academic and Technical Committee, Zhu Qiming said, “The circumstances surrounding the computing power industry and green energy mean that carbon emission is an issue we have to solve. This poses serious challenges for the computing power industry and yet also holds opportunities for the next round of growth.”  This year, many countries have started implementing varying degrees of regulative policies to bring the development of crypto and blockchain in line with carbon neutrality. As a response, crypto and blockchain projects have experimented with many solutions. For example, Ethereum plans to replace PoW with PoS, and Gryphon Digital Mining has announced they will mine Bitcoin using renewable green energy. Of all these solutions, Matrix has presented one that seems the most promising. On the software level, Matrix has adopted an AI-hash mixed algorithm together with a non-global hybrid PoW. On the hardware level, Matrix has invented a system that conveys heat emission from mining farms to nearby cities for central heating. What does this all mean for the future of the Matrix ecosystem? The short answer: this will be a case study for all crypto projects to learn from. https://matrixainetwork.medium.com/new-direction-for-public-chains-in-the-carbon-neutral-future-part-one-deb4d5480dd7
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Matrix — — More Public Benefit for Crypto Mining (Part 2)Matrix Holds the Key
The issue of sustainable growth is the greatest hurdle to the rise of crypto and blockchain to the central stage of the financial world. To solve this problem once and for all, crypto enthusiasts and developers have experimented with countless solutions, and Matrix’s AI-empowered blockchain stands out as one of the most promising. Matrix’s solution is twofold: 1. to build a PoW algorithm that can generate social value; 2. to design a consensus mechanism where only some of the miners do PoW mining. PoW Algorithm That Creates Social Value
As security is one of the central benefits of PoW, we can’t do without an encryption algorithm. How do we guarantee the same level of security while making PoW mining useful to society? Matrix has the solution. By adopting a PoW mechanism that integrates AI algorithms (image recognition) with hash algorithms, we can minimize energy waste and at the same time create social value with AI computing. This way, the value foundation of MAN is not only anchored by the value of the energy spent in mining but also the computing power used for AI computing. This socially beneficial way of mining is clearly ahead of the competition.  A Hybrid PoW Consensus Mechanism That Minimizes Computing Power Waste
Besides designing more socially beneficial mining algorithms, Matrix further reduces the energy consumption of mining by adopting a hybrid PoW consensus mechanism.  Hybrid PoW is essentially a combination of DPoS and PoW. Statistically speaking, election-based PoW has roughly the same long-term expected return as global full-time PoW, which is to say that the introduction of election-based PoW does not affect miners’ profits, the only concern being that the fairness of result may be compromised. This is the problem for most DPoS election mechanisms, while Matrix, through random clustering algorithms (RCA), is capable of truly random elections.  ConclusionMost public chains with a PoW consensus mechanism do not consider the energy waste it causes. Matrix, on the other hand, not only realizes the importance of socially beneficial mining but also has a practical way to implement it. This is especially rare. As Matrix integrates more computing power providers including PoW-based public chains into its network, the original sins of crypto mining will become history, and by that day blockchain will truly become a powerful tool for scientific research and the development of society.
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MANAS — Empower AI with — Part 1The Great Potential of AI
Artificial Intelligence is a broad field of study that involves computer science, biology, philosophy, etc. Its definition is often vague and up to debate, but essentially, AI is about teaching machines to think, analyze and make judgments just like humans do by imitating how the human brain works. Today, AI has become the driving force for the next round of technological and industrial revolution, changing society and people’s lives in permanent ways. In recent years, the AI industry has gotten hotter and hotter, and its market is constantly expanding. But although the number of new companies is still growing, its rate has slowed down quite a bit. Funding for the AI industry is constantly increasing, and capital is favouring grown companies as opposed to start-ups. With machine learning, especially deep learning, as the focus, the AI industry is making significant achievements in computer vision, speech recognition, natural language and other areas. The Scale of the AI Industry on the Rise Around the Globe
Next-generation AI is gaining traction around the globe. It is both a growth engine and a strategic industry for future society. As AI-related research and development pick up speed and AI technologies find commercial uses, the market is getting larger, attracting more capital. In 2019, the global AI industry was worth 520 billion USD, up 30% compared to the previous year. Its fast development has caught the attention of many countries, and most developed countries have made strategic arrangements surrounding the core technologies, capital support, talents and industry standards of AI in an attempt to take primacy in the competition of the future.  Market Share of AI Across Sectors Increasing Number of AI Companies
With the AI industry on the rise, the number of AI companies is also increasing. Although tech giants dominate the market with their incomparable access to technology, talents and capital, there is also gold among start-ups, whose flexibility and innovation offer constant surprises. By the end of 2019, the number of AI start-ups totaled nearly 20,000, with the United States being home to most of them, followed by China and the UK. While American and European companies have a lead in natural language processing, machine vision and AI robotics, Japanese and Korean companies are ahead in semiconductors. Increasing Global Funding for AI
With such a promising outlook, the AI industry is seeing increasing rounds of funding attracting more and more investment. In 2019, AI start-ups around the globe raised 26.6 billion USD in total in over 2,200 transactions, setting a record. At the same time, the percentage of seed-round and angel-round investments is declining, suggesting that it’s increasingly difficult for start-ups to attract funding as investments flow into medium and large AI companies. AI Service Is the Breakthrough Point
The prerequisite of AI is machine learning, which is essentially fueled by computing power. Machine learning needs data for material and generates algorithm models as results, while these algorithm models can be used to build AI services and applications which will have tremendous value for society. Currently, the mainstream way to provide AI services is through an API, which helps developers to easily integrate technologies or services into programs or products they are building. For example, developers may add individual person recognition features to album apps through a facial recognition API. Thanks to the API, they no longer have to program facial recognition codes from the start, nor even thoroughly understand its mechanism. New features can be accessed on cloud when they are enabled on applications through API. API can be used for different purposes, including computer vision, computer speech recognition, natural language processing, search, knowledge mapping, translation, and emotion detection. In the next few years, the growth of the AI industry will be primarily driven by the growth of AI services.  Projected Growth of the AI Service Market in Coming Years Blockchain-Empowered AI — Better AI
Without doubt AI will drive human society forward for the next 40 years. It is gathering momentum in transportation, finance, industry, energy, media and other sectors. The application of AI is digitalizing these industries, inspiring change or even total transformation. To create a better environment for AI and make AI serve humans more smoothly, Matrix is coming up with a brand new structure. In Matrix 1.0, AI was used to empower blockchain, drastically improving its performance, security and public benefit. On to Matrix 2.0, this will be an AI ecosystem managed through a highly efficient blockchain. Under this framework, AI is no longer centralized but will be managed and utilized through a decentralized blockchain. Every node on this blockchain will participate in decision-making and execution through the consensus mechanism of the network. This will eliminate the possibility of centralized AI awakening someday. At the same time, AI nodes in the decentralized network can better work together to serve humans. https://matrixainetwork.medium.com/manas-empower-ai-with-blockchain-e8d49682e009 Matrix AI Network leverages the latest AI technology to deliver on the promise of blockchain.
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@whitefire990 will u be able to compile a mining software for these fpgas ,for Matrix ai network ( https://www.matrix.io/ ) ,if worth it? thank u in advance |
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“Fake Stake” attacks on chain-based Proof-of-Stake cryptocurrencies https://medium.com/@dsl_uiuc/fake-stake-attacks-on-chain-based-proof-of-stake-cryptocurrencies-b8b05723f806This article is the public disclosure of a series of resource exhaustion vulnerabilities investigated by a team of students consisting of Sanket Kanjalkar (sanket1729, smk7@illinois.edu), Yunqi Li, Yuguang Chen, Joseph Kuo, and our adviser Andrew Miller(socrates1024) in the Decentralized Systems Lab @ UIUC. These vulnerabilities have affected 26+ Proof-of-Stake cryptocurrencies in total and would allow a network attacker with a very small amount of stake to crash any of the network nodes running the corresponding software. We began a coordinated disclosure in October 2018 to notify development teams of affected cryptocurrencies ahead of this public release. The majority of them (weighted by marketcap) have already deployed mitigations......... Vulnerability #1: “I Can’t Believe it’s not Stake” When we first investigated this problem, we found that five cryptocurrencies, Qtum, Particl, Navcoin, HTMLcoin, and Emercoin, exhibited a fairly trivial form of this vulnerability: namely, they fail to check any coinstake transaction at all before committing a block to RAM or disk. What these five cryptocurrencies have in common is that they have adopted Bitcoin’s “headers first” feature, in which block propagation was split into two separate messages, Block and Header. Nodes only ask for Block after Header passes the PoW checks AND it is a longest (or longer) chain. Since the coinstake transaction is present only in Block but not the Header, a node cannot validate the Header on its own. Instead, it directly stores the header to an in-memory data structure (mapBlockIndex). As a result, any network attacker, even with no stake whatsoever, can fill up a victim node’s RAM.......... |
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“Fake Stake” attacks on chain-based Proof-of-Stake cryptocurrencieshttps://medium.com/@dsl_uiuc/fake-stake-attacks-on-chain-based-proof-of-stake-cryptocurrencies-b8b05723f806This article is the public disclosure of a series of resource exhaustion vulnerabilities investigated by a team of students consisting of Sanket Kanjalkar (sanket1729, smk7@illinois.edu), Yunqi Li, Yuguang Chen, Joseph Kuo, and our adviser Andrew Miller(socrates1024) in the Decentralized Systems Lab @ UIUC. These vulnerabilities have affected 26+ Proof-of-Stake cryptocurrencies in total and would allow a network attacker with a very small amount of stake to crash any of the network nodes running the corresponding software. We began a coordinated disclosure in October 2018 to notify development teams of affected cryptocurrencies ahead of this public release. The majority of them (weighted by marketcap) have already deployed mitigations......... Vulnerability #1: “I Can’t Believe it’s not Stake” When we first investigated this problem, we found that five cryptocurrencies, Qtum, Particl, Navcoin, HTMLcoin, and Emercoin, exhibited a fairly trivial form of this vulnerability: namely, they fail to check any coinstake transaction at all before committing a block to RAM or disk. What these five cryptocurrencies have in common is that they have adopted Bitcoin’s “headers first” feature, in which block propagation was split into two separate messages, Block and Header. Nodes only ask for Block after Header passes the PoW checks AND it is a longest (or longer) chain. Since the coinstake transaction is present only in Block but not the Header, a node cannot validate the Header on its own. Instead, it directly stores the header to an in-memory data structure (mapBlockIndex). As a result, any network attacker, even with no stake whatsoever, can fill up a victim node’s RAM..........
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What does the implementation of CGAS mean for the re-distribution of used GAS on the NEO platform to all NEO holders? As far as I recall it always has been the idea to re-destribute the used GAS (for transactions, smart contract execution etc) to all the people who hold NEO. Will this plan still work when CGAS is being used? Remember it was 0.20$ just 18 months ago!! I bought some end of May 2017 at ~0.90$ ... still one of my best investments ever. It will reach new ATH's for sure, patience is the key. Did you sell at all time high and bought back, if so, you would have accumulate many Neo coins You can add multiple quotes in one post and add them, click the "Insert Quote" button when you want to make a post. No need to make 5 separate posts.  exactly |
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until now ,is the best service i ever used for crypto buys.....
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by Jason HawkingFollow Cryptocurrency Enthusiast and Seed Investor Samsung Board of Directors, Alibaba Division CEOs, Semiconductor Executives, Berkeley Research Scientists Create the Skynet Open Network https://medium.com/@jasonlevis25/samsung-board-of-directors-alibaba-division-ceos-semiconductor-executives-berkeley-research-30c33db9ddabRecently, I discovered a new project called Skynet Open Network, a end-to-end ecosystem consisting of various horizontal scaling IoT platforms and a blockchain chip. After looking through their website, my first impression of them was the Telegram for Internet of Things, IOTA with Artificial Intelligence, or High Performance Blockchain on steroids. As I read on, I learnt that were making neural network central processing units and connecting them all with a decentralised autonomous machine learning network. I couldn’t help but think that they were actually making Skynet in real life. And I was correct. They basically were re-creating my childhood fantasies of the Terminator, but as benevolent version? As much as I wanted them to create Terminators from my childhood movies, they’re planning to make their Skynet system beneficial to humanity by giving devices the intelligence to diagnose types of diseases and enable communication between self-driving cars so they don’t crash. They are also helping provide the infrastructure for blockchain technology by embedding a Ledger Nano S into the CPU of every IoT device. After reading more about their huge system, I began to think Million transaction per second blockchain, the first ever blockchain chips, can they actually make this happen? Probably just another ICO with big claims. And then I looked at the team. Holy Moly. Their team is comprised of the Executive Director from Samsung, Alibaba Executives, Berkeley AI Researchers, and Qualcomm Executives. Even their regular members are from Amazon, Qualcomm, Paypal, Google. Talk about a stacked team, especially for an ICO. If one team can make Skynet happen, it’s this one. |
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@AivarasI
until now
exellent service...
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