Hetzerk: Decentralized Physics Simulations

Compnay Name

Hetzerk

Problem Description

A myriad of sectors are heavily dependent on large simulations of physical systems based primarily on traditional methods like Molecular Dynamics, and Density Functional Theory. Such sectors include Pharmaceutical, energy, semiconductors, etc. For example, in the recent Covid-times, millions of Molecular Dynamics simulations have been run, largely independently, related to the ACE receptor and spike protein to better understand the binding mechanisms[3]. Currently, most of this information is dormant, redundant, and inconclusive. The data is frequently dormant as the simulation data is analyzed for publications or industrial applications and then held on local data storage units, redundant as there are often teams around the world doing highly similar simulations, and inconclusive because often single simulations lack enough information to lead to conclusive results. Thus, centralized infrastructures are rather limiting in developing AI-centric frameworks for improving the efficiency and accuracy of physics computation and knowledge extraction. As bad as this is, this is only the surface of the problem. The larger problem is that there is no natural way to incorporate vast and diverse amounts of physics information (experiments, quarks, chemicals, proteins), data, knowledge , and algorithms in a cohesive and synergetic manner.

Solution Description

Our end goal is clear. We hope to create the correct infrastructure to incentive mass adoption of SingularityNet-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 tokenmonics 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.

We also have proposals related to Decentralized Physics Simulations in Cardano's project catalyst. In the case that both proposals are funded, we will reorient this funding towards integration of our algorithms with OpenCog Hyperon, SingularityNet's cognitive architecture to integrate formal reasoning and symbolic architectures for physics simulations. 

Project Benefits for SNET AI platform

By building primarily on Nunet and Singularitynet services ( as well as hypercycle once the technology matures) we hope to 1) dramatically increase the amount of API calls to the AGIX platform 2) build deep partnerships between entities in SNET, academia, and industry and 3) develop a healthy relationship between social and communal health with technological development (a key theme of SingularityNet).  

Also, we are planning for a token launch in 2023-4. If awarded by DeepFunding, we aim to allocate about 5 percent of the total token supply to the SNET community. 

Competitive Landscape

There are many research initiatives towards materials development. Almost all of the big tech companies are, in some respect, working towards this and similar goals. 

One important non-technical difference is that we plan to be decentralized and offer many opportunities for collaborations between groups, academics, and industrial entities. In some ways, this more accurately describes the efforts in academics as open-source and for the public-good. We hope to embody these principles, and in essence, build cyclic growth patterns between public-goodness (quality of life, access to medicine and tech…) and technological developments. 

Marketing & Competition

Our go to market strategy is to gradually build up our research team, and heavily start partnering with Academic and Industrial partners. 

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