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    Global Banking & Finance Review® is a leading financial portal and online magazine offering News, Analysis, Opinion, Reviews, Interviews & Videos from the world of Banking, Finance, Business, Trading, Technology, Investing, Brokerage, Foreign Exchange, Tax & Legal, Islamic Finance, Asset & Wealth Management.
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    Global Banking and Finance Review is an online platform offering news, analysis, and opinion on the latest trends, developments, and innovations in the banking and finance industry worldwide. The platform covers a diverse range of topics, including banking, insurance, investment, wealth management, fintech, and regulatory issues. The website publishes news, press releases, opinion and advertorials on various financial organizations, products and services which are commissioned from various Companies, Organizations, PR agencies, Bloggers etc. These commissioned articles are commercial in nature. This is not to be considered as financial advice and should be considered only for information purposes. It does not reflect the views or opinion of our website and is not to be considered an endorsement or a recommendation. We cannot guarantee the accuracy or applicability of any information provided with respect to your individual or personal circumstances. Please seek Professional advice from a qualified professional before making any financial decisions. We link to various third-party websites, affiliate sales networks, and to our advertising partners websites. When you view or click on certain links available on our articles, our partners may compensate us for displaying the content to you or make a purchase or fill a form. This will not incur any additional charges to you. To make things simpler for you to identity or distinguish advertised or sponsored articles or links, you may consider all articles or links hosted on our site as a commercial article placement. We will not be responsible for any loss you may suffer as a result of any omission or inaccuracy on the website.

    Finance

    Posted By Wanda Rich

    Posted on April 9, 2024

    Featured image for article about Finance

    NeuroMesh: Spearheading the New Era of AI with a Distributed Training Protocol

    London, United Kingdom, April 9th, 2024, Chainwire

    NeuroMesh (nmesh.io), a trailblazer in artificial intelligence, announces the rollout of its distributed AI training protocol, poised to revolutionize global access and collaboration in AI development. Embracing DePIN’s decentralized framework, NeuroMesh bridges the gaps between the demand for training large AI models and distributed GPUs. This initiative aims to foster inclusivity in AI development, facilitating participation across diverse sectors and geographies.

    Visionaries in AI: The Team’s Global Ambition

    The team behind NeuroMesh, composed of researchers and engineers from Oxford, NTU, PKU, THU, HKU, Google, and Meta, pioneers a democratic AI training process. This visionary approach addresses the limitations of centralized AI development by enabling GPU owners worldwide to contribute to a vast training network, empowering entities of all sizes to leverage this service for their training needs.

    NeuroMesh transcends traditional AI by fostering collaboration. Their vision is to equip every developer and organization, regardless of location or resources, with the ability to train and utilize cutting-edge AI models. This aligns perfectly with the vision of AI pioneers like Yann LeCun, who advocate for a future powered by crowdsourced and distributed AI training.

    A Revolutionary Design Based on PCN

    At the heart of NeuroMesh’s distributed training protocol lies the groundbreaking PCN (Predictive Coding Network) training algorithm – a true game-changer in this field. This approach empowers GPU owners worldwide to contribute their power, fostering a vast collaborative effort.

    The PCN Training Algorithm: The magic behind NeuroMesh lies in the PCN training algorithm. Unlike traditional backpropagation (BP) methods, PCN enables fully local, parallel, and autonomous training. The team aims to create a vast network, where each node—representing a participating GPU—learns independently. PCN minimizes inter-layer communication, reducing data traffic and facilitating asynchronous training. Think of it as a symphony where each musician plays their part independently, yet contributes to a harmonious whole.

    This cutting-edge model, inspired by recent advancements in neuroscience research pioneered by Oxford University, mimics the human brain’s localized learning approach. By storing error values and optimizing for a local target in each layer, it replicates the behavior of brain neurons. This allows NeuroMesh to define models that are much larger, with individual components that contribute to the same ultimate optimization objective for the whole network, just like the human brain where different stimuli are handled by different groups of neurons.

    This biologically-inspired approach, combined with its inherent distribution capabilities, unlocks a new era of AI development.

    A Call to Forge Global Partnerships

    NeuroMesh invites partnerships globally, aiming to forge an AI future that everyone can participate in. Its protocol is the bedrock upon which a diverse ecosystem is being built. The ecosystem is designed to be dynamic, collaborative, and adaptable, ensuring that it can serve the AI model training needs of any size, from any industry.

    Individuals, projects with GPU resources, and entities with training needs are all welcome to join this transformative initiative. For comprehensive details on NeuroMesh and to participate in this leading-edge endeavor, users can visit nmesh.io.

    About NeuroMesh

    NeuroMesh comprises researchers and engineers from esteemed institutions such as Oxford, NTU, PKU, THU, HKU, Google and Meta. By empowering developers and organizations to deploy robust AI models, NeuroMesh is cultivating an inclusive AI ecosystem, bridging the gaps between the demand of training large AI models and distributed GPUs worldwide.

    For more information, users can visit NeuroMesh’s Twitter | Telegram

    Contact

    CMO

    Kenchia Lee

    NeuroMesh

    [email protected]

    07746906341

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