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Blockchain & AI

What is Blockchain?

A blockchain is a decentralized, distributed and public digital ledger that is used to record transactions across many computers so that any involved record cannot be altered retroactively, without the alteration of all subsequent blocks. This allows the participants to verify and audit transactions independently and relatively inexpensively. A blockchain database is managed autonomously using a peer-to-peer network and a distributed timestamping server. They are authenticated by mass collaboration powered by collective self-interests. Such a design facilitates robust workflow where participants uncertainty regarding data security is marginal. The use of a blockchain removes the characteristic of infinite reproducibility from a digital asset. It confirms that each unit of value was transferred only once, solving the long-standing problem of double spending. A blockchain has been described as a value-exchange protocol. A blockchain can maintain title rights because, when properly set up to detail the exchange agreement, it provides a record that compels offer and acceptance.

Decentralized network.

By storing data across blockchain peer-to-peer network, Orius Capital eliminates a number of risks that come with data being held centrally. Besides that ,our decentralized blockchain may use ad-hoc message passing and distributed networking.

Peer-to-peer blockchain networks lack centralized points of vulnerability that computer crackers can exploit; likewise, it has no central point of failure. Blockchain security methods include the use of public-key cryptography. A public key (a long, random-looking string of numbers) is an address on the blockchain. Value tokens sent across the network are recorded as belonging to that address. A private key is like a password that gives its owner access to their digital assets or the means to otherwise interact with the various capabilities that blockchains now support. Data stored on the blockchain is generally considered incorruptible.

Every node in a decentralized system has a copy of the blockchain. Data quality is maintained by massive database replication and computational trust. No centralized "official" copy exists and no user is "trusted" more than any other. Transactions are broadcast to the network using software. Messages are delivered on a best-effort basis. Mining nodes validate transactions, add them to the block they are building, and then broadcast the completed block to other nodes. Blockchains use various time-stamping schemes, such as proof-of-work, to serialize changes. Alternative consensus methods include proof-of-stake. Growth of a decentralized blockchain is accompanied by the risk of centralization because the computer resources required to process larger amounts of data become more expensive.

Blockchain technology can be integrated into multiple areas. The primary use of blockchains today is as a distributed ledger for cryptocurrencies, most notably bitcoin. There are a few operational products maturing from proof of concept by late 2016.
As of now, many corporations and companies believe in this technology and place blockchain at the core of the business structure.

Smart contract

Blockchain-based smart contracts are proposed contracts that could be partially or fully executed or enforced without human interaction. One of the main objectives of a smart contract is automated escrow. An IMF staff discussion reported that smart contracts based on blockchain technology might reduce moral hazards and optimize the use of contracts in general.

Banks

Major portions of the financial industry are implementing distributed ledgers for use in banking, and according to a September 2016 IBM study, this is occurring faster than expected.
Banks are interested in this technology because it has potential to speed up back office settlement systems.
Orius Capital are opening new research labs dedicated to blockchain technology in order to explore how blockchain can be used in financial services to increase efficiency and reduce costs

Artificial Intelligence (AI)

In computer science, artificial intelligence (AI), sometimes called machine intelligence, is intelligence demonstrated by machines, in contrast to the natural intelligence displayed by humans. Computer science defines AI research as the study of "intelligent agents": any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term "artificial intelligence" is used to describe machines that mimic "cognitive" functions that humans associate with other human minds, such as "learning" and "problem solving".
Artificial intelligence (AI) divided into two schools of thought: Traditional Artificial Intelligence and Computational Intelligence.
Traditional artificial intelligence almost includes the currently classified methods of machine learning methods, characterized by formalism and statistical analysis. It is also known as Symbolic AI, Logical-based, Neat AI and Good Old Fashioned Artificial Intelligence. Methods include:

  • Expert system: handling large amounts of known information and making conclusions based on that information.
  • Reasoning by situation.
  • Bayes network.

Computational intelligence studies learning or iterative development (eg, adjusting parameters in the system, such as connectionist systems). Learning is based on empirical data and is related to non-symbolic Artificial Intelligence, scruffy AI (scruffy AI) and soft computing. The main methods include:

  • Neural network: systems for pattern recognition.
  • Fuzzy system
  • Evolutionary computation
  • Behavior based AI

Orius Capital’s strategies.

Orius Capital has researched and is working on developing hybrid intelligent systems, which combine these two schools. The deductive laws of expert systems can be generated by neural networks or production rules from statistical learning as in ACT-R architecture.

Orius Capital is applying research works to cognitive science (cognitive science), an industry that tries to create a model of human activity and awareness (which is different from artificial intelligence research, because artificial intelligence only wants to create a practical machine, not a model based on human brain activity).

Orius Capital experts predict that by 2021, the blockchain technology market will increase to $ 2.3 billion and investment in AI will increase to $ 52.2 billion. As investments in both AI and blockchain grow, more and more global companies - including Microsoft, Dell and Porsche - are spending their research and testing. Fred Ehrsam, the co-founder of Coinbase cryptocurrency trading platform, predicts that it will take some time for these systems to prove themselves and show results in practice, but once it happens, they will promote democratization process of the industry.

Blockchain and AI are a breakthrough in data analysis, opening a whole new era of automation shortly.