Neuromesh: pioneer of the new era of the AI with a distributed training protocol

London, United Kingdom, April 9, 2024, Chainwire

neuromesh ( nmesh.io ), a pioneer in the field of artificial intelligence, announces the introduction of his distributed AI training protocol, which revolutionize global access and cooperation in AI development should. Neuromesh uses the Depin decentralized framework and closes the gaps between the demand for the training session of large AI models and distributed GPUs. This initiative aims to promote inclusion in AI development and to facilitate participation in various sectors and regions.

visionaries in the AI: The global ambition of the team

The team behind Neuromesh, consisting of researchers and engineers from Oxford, NTU, PKU, Thu, HKU, Google and Meta, does pioneering work for a democratic AI training process. This visionary approach overcomes the restrictions on centralized AI development by giving GPU owners worldwide the opportunity to contribute to a huge training network, which means that companies can use this service for their training requirements.

Neuromesh goes beyond traditional AI by promoting cooperation. Your vision is to give every developer and every organization the opportunity to train and use the latest AI models regardless of location or resources. This fits perfectly with the vision of AI pioneers like Yann Lecun, which is based on a future based on crowdsourcing and distributed AI training.

a revolutionary design based on PCN

The heart of the distributed training protocol from Neuromesh is the groundbreaking PCN training algorithm (Predictive Coding Network)-a real game channel in this area. This approach enables GPU owners worldwide to contribute their performance and thus promote enormous cooperation.

The PCN training algorithm: The magic behind Neuromesh is located in the PCN training algorithm. In contrast to conventional baking propagation methods (BP), PCN enables a completely local, parallel and autonomous training. The aim of the team is to create a huge network in which every knot - who represents a participating GPU - learns independently. PCN minimizes communication between levels, reduces data traffic and facilitates asynchronous training. Consider it as a symphony in which every musician plays his role independently and still contributes to a harmonious whole.

This state -of -the -art model, which is inspired by recent progress in neuroscientific research at the University of Oxford, imitates the localized approach of the human brain. The behavior of brain neurons is reproduced by storing error values and optimization for a local goal in every layer. This enables neuromesh to define models that are much larger and whose individual components contribute to the same ultimate optimization goal for the entire network, just like the human brain, where different stimuli of different groups of neurons are processed.

This biologically inspired approach heralds a new era of AI development in combination with the inherent distribution options.

a call to forge global partnerships

Neuromesh invites you to partnerships worldwide, with the aim of creating a AI future in which everyone can participate. Its protocol is the foundation on which a diverse ecosystem is built. The ecosystem is designed in such a way that it is dynamic, collaborative and adaptable to ensure that it can meet the training requirements for AI models of any size and industry.

individuals, projects with GPU resources and companies with training needs are welcome to join this transformative initiative. Comprehensive information on Neuromesh and the possibility of participating in this groundbreaking undertaking can find users under nmesh.io .

about Neuromesh

Neuromesh consists of researchers and engineers of renowned institutions such as Oxford, NTU, PKU, Thu, HKU, Google and Meta. By giving developers and organizations the opportunity to provide robust AI models, Neuromesh cultivates an integrative AI ecosystem and closes the gaps between the demand for the training of large AI models and distributed GPUs worldwide.

Find more information users at Neuromesh

contact

cmo
kenchia lee
neuromesh
[email protected] 07746906341