The World’s First Decentralised Neuromorphic Supercomputing Platform
Dynex is a next-generation platform for neuromorphic computing based on a groundbreaking flexible blockchain protocol. It consists of participating PoUW miners that constitute a decentralised neuromorphic supercomputing network which is capable of performing computations at unprecedented speed and efficiency – even exceeding quantum computing. By transforming traditional inefficient computers into neuromorphic chips, we will finally be able to create new discoveries. Dynex’ proprietary Proof-of-Useful-Work (PoUW) algorithm DynexSolve enables each miner to perform Dynex Chip computations. As a community and with collaborative effort we can take the next step towards sustainability and efficacy. Transform your computer or your dormant GPU mining equipment into neuromorphic machines, earn money and generate wealth: let’s solve problems together.
DynexSolve: Proof-of-Useful-Work (PoUW)
Our proprietary Dynex Chip design is built based on ideal memristors. Memristors are two-terminal resistive devices with memory. In general, their nonlinear dynamic behaviour is mathematically modeled by means of a differential algebraic equation (DAE) set, in which an ordinary differential equation (ODE) governs the time evolution of the memory state, while an algebraic relation captures the state- and input-dependent Ohm law. The memristor, an acronym for memory resistor, was theoretically introduced in 1971 by L.O. Chua. Introduced in the 1971 pioneering paper, presently referred to as ideal memristor, is the fourth fundamental two-terminal circuit element, the other three being the resistor, the capacitor, and the inductor. Since then, the interest on memristors and their applications has been growing exponentially, with both academia and industry deploying a huge amount of funds and personnel to fabricate, model, and explore the full potential of these devices in electronics applications. The DynexSolve PoUW algorithm utilises the unprecedented performance of such memristors and performs ODE integration (simulations) of our Dynex Chips. By utilising the massive parallelism of all participating Graphic Processing Units (GPUs), we can achieve close to realtime performance of the original chip design. This allows computations of constraint satisfaction problems, mixed integer linear programming, quadratic unconstraint binary optimisation, maximum satisfiability problem, federated machine learning, efficient pre-training of restricted boltzmann machines and deep neural networks, subset sum problems or integer factorisation.
A fair start
When Dynex started on September 16th, 2022, there was no initial coin offering (ICO), no pre-mining and no pre-allocation of tokens to any team members or investors. A truly fair launch – unparalleled in any other token platform.
100.00% public allocation
Neuromorphic computing
Dynex serves as the foundation for applications and algorithms built on top of it. It consists of participating miners that together constitute one enormous neuromorphic computing network – a highly efficient next generation computing system.
Decentralised Neuromorphic Computing
Energy efficient
In light of the growing threat of climate change to our environment and our future, it is imperative that we take every measure necessary to reduce global energy consumption. An accelerated adoption of neuromorphic computing will therefore benefit our entire society since it uses orders of magnitude less energy compared to traditional computing systems.
Green & sustainable
Long-term perspective
In order to ensure the long-term success of Dynex, all aspects of development should be viewed from a long-term perspective. The Dynex project should be able to survive for centuries without any hard forks, hardware or software improvements, or any other unpredictable changes. Due to the fact that Dynex is designed as a platform, it should also be possible for applications and algorithms built on top of Dynex to survive over the long term. Due to Dynex’s resiliency and long-term survivability, it may also have the potential to serve as a good store of value.
Untraceable transactions
Dynex employs a scheme of fully anonymous transactions satisfying both untraceability and unlinkability conditions. The sender is not required to cooperate with other users or a trusted third party to make his transactions.
A new level of privacy
Open and permissionless
Dynex neuromorphic chips and Dynex protocol do not restrict or limit any categories of usage. A user should be able to join the network and participate in the protocol without taking any preliminary steps. Dynex does not allow discrimination or limited access at the core level, as is the case with traditional supercomputer systems. In contrast, application developers are free to implement any logic they like, as long as they are responsible for the ethical and legal implications of their work.
Memory-hard
Our algorithm is a memory-bound algorithm for the proof-of-work pricing function. It relies on random access to a slow memory and emphasises latency dependence and requires significantly less memory to verify a solution than to discover it. As a result, we close the gap between CPU/GPU and ASIC miners.
Unlinkable payments
The Dynex protocol allows a user to publish a single address and receive unconditional unlinkable payments. The destination of each output (by default) is a public key, derived from recipient’s address and sender’s random data. Every destination key unlinkable for a spectator.
One-time ring signatures
One-time ring signatures allows users to achieve unconditional unlinkability: a user produces a signature which can be checked by a set of public keys rather than a unique public key. The identity of the signer is indistinguishable from the other users whose public keys are in the set until the owner produces a second signature using the same keypair.
