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SONM AI

Bringing innovative technologies closer together will elevate our entire society to the next level. Artificial intelligence is an industry of great interest to technology enthusiasts. SONM’s fog computing will revolutionize the way we think about cloud computing. Ethereum smart contracts will shake up all business models we have grown accustomed to. Put these three together and things will get very interesting very soon.

The First Universal Supercomputer Is Here

Having unrestricted access to supercomputer computing power will introduce many great changes in the coming years. SONM makes this a possibility thanks to their decentralized global fog supercomputer. To be more precise, this computing power can be used for general purposes, ranging from website hosting to scientific calculations and hosting gaming servers. There is nothing fog computing cannot achieve right now.

The reason why projects such as SONM exist is to replace traditional cloud computing solutions. No centralized third party should determine who can access computing resources. Moreover, the current fee structures leave much to be desired. By using a decentralized approach, fog computing can be more powerful than supercomputing and extend this service at a much cheaper price.

Additionally, the project is a prime example of how powerful the Internet of Things — and Internet of Everything — can be. Any internet-connected device can lend its internal processing power to the global fog computing network. This allows for on-demand scaling in mere minutes, without paying an exuberant amounts of money for this service. It is thanks to projects such as SONM that the Internet of Everything will thrive in the early stages of development.

Artificial Intelligence Creates new Use Cases

There is no task in the world that can’t benefit from more computing resources these days. One of the more prominent fields of interest is artificial intelligence. The introduction of Ai solutions turns SONM into a multi-purpose platform that relies on peer-to-peer connectivity. It is impossible to predict what the future may hold, but rest assured things are looking bright for fog computing.

To be more specific, the SONM system is capable of solving combinatorial optimization problems. Computational complexity theories can be bogged down by decision making problems. This results in AI solutions that are far from optimal, and can even be perceived as “weak”. It will take some years- if not decades- before we can build a fully cognitive AI using the current technology and infrastructure at our disposal.

The combinatorial optimization problem sounds rather complex, thus we will allow to simplify it a bit. It is an integral part of artificial intelligence, machine learning, and software engineering. Combinatorial optimization serves to find an optimal object from a limited set of objects. However, it can take a lot of time to come to the prefered outcome. Finding the best solution is not a decision that should be rushed either, especially not in these aforementioned fields of research.

Most of these problems can be solved by using a search algorithm. However, these algorithms are not necessarily designed to find an optimal solution. Plus, they take their sweet time to come up with a potential solution. One of the common problems waiting to be solved through combinatorial optimization is known as the “travelling salesman problem:”

More specifically, this problem presents a list of cities and distances between the.mIt is then up to the algorithm to find the shortest possible route to visit every city only once and return to the starting point. Although this sounds like a simple problem, it is something that has kept mathematicians awake at night for nearly a decade.

In the modern age, the travelling salesman problem is used as a benchmark for optimization methods. It is a computationally challenging problem, which is where fog computing comes into the picture. Difficult tasks like this one can easily be solved by a global supercomputer network that can be accessed by anyone. It is a prime example of who fog computing exists in the first place.

Resource Management and Risk Assessment Are Key

However, by using a platform that successfully divides computing resources between different projects and hubs, things could enter an accelerated stage of development. At the same time, fog computing is capable of maximizing the profits of this approach and diversify the risk factor to a point where it becomes a trivial issue. This is especially valid when solving challenging tasks such as the travelling salesman problem.

SONM explains this development as follows:

“Our system solves combinatorial optimization problems, for example, The Knapsack problem and the Travelling salesman problem. These problems are NP-incomplete, so we have a basic implementation of a weak-class AI. The Knapsack problem is solved in the context of ‘miners briefcase’ — how to divide resources between different projects/hubs, with maximal profit and risk diversification. Put simply, it would be like “What coins do I need to mine if btc goes down and in what proportion for each of it? The Travelling salesman problem is solved in the context of resource distribution and backs to GRID-network standards. ”

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