Proposal Description
AI services (New or Existing)
Long Description
We hope to create the correct infrastructure to incentive mass adoption of AGIX-based protocols in the computationally oriented scientific communities including academia, industry, start-ups, and individual community members.
We are creating a decentralized protocol for the simulation of physical systems while leveraging Nunet for computational resources and SingularityNet for AI enhancements with open ended improvements using anything from Deep Learning [1], to neuro-symbolic AI [2], quantum chemistry [4], cognitive architectures[5], etc. Additionally, we are building a tokemonics system to incentive computation, data, algorithm development, mining, and community rewards for collaborations and support from individual community members, academics, and even corporations. One of our driving principles is the coupling of advancements in artificial intelligence to advancements in functional near-term technologies.
Our solutions will be useful in markets like Biotechnology, Artificial Intelligence, Chemical Synthesis, and many more. These are quickly growing markets, and would be absolutely amazing for the health of the SingularityNet and Cardano ecosystem to bridge the market demand home. Take for instance just the Biotechnology market; it is expected to surpass 1.5 Trillion by 2030 and growing at nearly ten percent per year [6].
The paradigm shift we are creating with SNet and Nunet stems from creating a computational and algorithm environment for end-to-end integration of multi-scale simulations for developing and employing theoretical and AI algorithms built up from heterogeneous data sources, symbolic knowledge extraction, and cognitive principles to lead to the most interconnected framework for self-consistent computations in the physical sciences. This will all be done to mimic the use of High Performance Computing infrastructures, and in principle, we should be able to simulate molecular systems faster than many of the top supercomputer when Nunet is fully developed with a large enough ecosystem. All of our code will be developed for parallelized, multi-virtual node CPUs/GPUs. By using AI integration, we should also be able to surpass many of the conventional bottlenecks of such computations.
From an industry perspective, users (entities taking advantage of our computational protocol) can exchange tokens for theoretical computations of a particular system of study and/or private/public algorithms developed by various entities (individuals, research labs, corporations, community members). From the community perspective they will get rewarded for the contribution to data, computation, algorithm development (to name a few).
Rewards are mostly obtained from the following procedures: physics data (experiments, simulation data, theory), computational resources and storage, algorithm developments (developing new algorithms, training neural networks, improving existing networks), mining, and technology development. The first two are rather clear. In short, mining is the eventually-automated process of performing specific computations as suggested by community members or recommended by an AI agent that anyone can partake in by staking or resource allocation. As well, entities that develop on the protocol (via any of the above including mining) can obtain rewards via a predetermined ratio of tokens paid by industrial entities using smart contracts.
One of the key mechanisms of incentives is to allow, at least, academic groups free computational resources. We can do this, by coupling the loss of value due to computational usage to the gain of actionable knowledge, data, and algorithms to solve some of the most computationally demanding problems in dramatic need of better data, algorithms, knowledge, and efficient and connected solutions.
This entire goal of hetzerk will take some time to develop, and we do plan on obtaining further funding in future rounds of DeepFunding, Project Catalyst, token selling events, or outside funding sources.
AI Services