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Join the next Parity & Friends online meetup to hear Parity’s Kian Paimani discuss Nominated Proof of Stake on Polkadot, and Hoon Kim explain the future of X-VM (Cross Virtual Machine) on Plasm Network.
Agenda:
6pm: Polkadot’s Nominated Proof of Stake System: The Past, Present, and the Future - Kian Paimani, Core Developer, Parity Technologies
6.30pm: Presenting the future of X-VM (Cross Virtual Machine) on Plasm Network - Hoon Kim, Product Manager, Plasm Network
Talks Summary
Polkadot’s Nominated Proof of Stake System: The Past, Present, and Future.
Kian Paimani, Core Developer, Parity Technologies
In this talk Parity’s Kian Paimani will provide a high-level recap of Polkadot’s unique Nominated Proof of Stake (NPoS) system, including its past shortcomings, how they were fixed, and where it has led us so far. He will also discuss exciting new approaches to NPoS, and how it is setting the new standard of what is possible to achieve regarding on-chain validator selection in a permissionless setting.
Presenting the future of X-VM (Cross Virtual Machine) on Plasm Network
Hoon Kim, Product Manager, Plasm Network
Plasm Network is a multi virtual machine (EVM and WASM) smart contract platform on Polkadot that has integrated Ethereum developer tools such as Metamask, Remix, Truffle, and Hardhat, as well as Parity’s Frontier. Hoon Kim, product manager at Plasm Network, will explain how an application on their EVM interacts with WASM, and vice versa.
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1600563600
Never used one before the course required me to use one.
You might have heard JVM (Java Virtual Machine) coming with the JDK (Java Development Kit) and JRE (Java Runtime Environment). And we have Oracle’s Virtual Box that is equipped with having multiple virtual machines being stored and used if necessary. Now, let’s go into details about how you can use various virtual machines.
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Check out the 5 latest technologies of machine learning trends to boost business growth in 2021 by considering the best version of digital development tools. It is the right time to accelerate user experience by bringing advancement in their lifestyle.
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Hire machine learning developers in India ,DxMinds Technologies is the best product engineering company in India making innovative solutions using Machine learning and deep learning. We are among the best to hire machine learning experts in India work in different industry domains like Healthcare retail, banking and finance ,oil and gas, ecommerce, telecommunication ,FMCG, fashion etc.
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Transportation industry
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Healthcare industry
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In financial industries organizations like banks, fintech, regulators and insurance are Adopting machine learning to improve their facilities.Following are the use cases of machine learning in finance.
Education industry
Education industry is one of the industries which is investing in machine learning as it offers more efficient and easierlearning.AdaptiveLearning,IncreasingEfficiency,Learning Analytics,Predictive Analytics,Personalized Learning,Evaluating Assessments etc are the applications of machine learning in the education industry.
Outsource your machine learning solution to India,India is the best outsourcing destination offering best in class high performing tasks at an affordable price.Business** hire dedicated machine learning developers in India for making your machine learning app idea into reality.
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Future of machine learning
Continuous technological advances are bound to hit the field of machine learning, which will shape the future of machine learning as an intensively evolving language.
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Today most of the business from different industries are hire machine learning developers in India and achieve their business goals. This technology may have multiple applications, and, interestingly, it hasn’t even started yet but having taken such a massive leap, it also opens up so many possibilities in the existing business models in such a short period of time. There is no question that the increase of machine learning also brings the demand for mobile apps, so most companies and agencies employ Android developers and hire iOS developers to incorporate machine learning features into them.
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