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To fill the gap between people and machines, NLP leverages code, computational linguistics, and even computer science to help understand and even manipulate human language. This type of technology allows for the comprehension by computers of the structure, meaning, and composition of various human languages.

From there, it allows users and machines to interact with other computers and systems using natural sentences. Tyhese devices are leading to a dramatic increase in the use of voice as an interface , a trend that appears likely to continue as marquess tech firms use NLP to voice-enable new products.

These types of cognitive systems can greatly step up the frequency, flexibility, and immediacy of data analysis across a range of industries, circumstances, and applications. In a recent report, IDC estimates that the amount of the global datasphere subject to data analysis will grow by a factor of 50 to 5.

Natural language processing allows us to understand meaning behind various speech processes. That said, there are a few areas to focus on when it comes to working with solutions like NLP, cognitive systems, and data in general. The vast majority of cognitive solutions, NLP included, will be low-latency applications.

The Shallowness of Google Translate - The Atlantic

The entire goal is to process critical data points as close to the source as possible, and as quickly as possible. For a business focusing on delivering cognitive solutions, latency can also mean the loss of a competitive edge. In working with things like NLP and data processing, high latency means that the sender spends more time idle not sending any new packets , which reduces how fast throughput grows.

Distance from the data source could also lead to packet loss. When working with tasks like data ingestion and NLP solutions, be sure to fully understand network connectivity, where your data center might need improvements, and how to support advanced customer use-cases. Please note that services, functions, and even virtual machines running cognitive systems or NLP platforms are not your typical workloads.

When working with data analytics, the expectation is to actually do something with the data in a timely and efficient manner.

L7-Computer literacy Machine language-Assemblylanguage - High-level language-importantKVS -SSC-BANK

The secret for the data center leader is in sizing and knowing your market. Are you going after a broad market or maybe just healthcare or retail, for example? In designing your data center to support cognitive systems, conduct both a business and technology study to size your systems properly.

Edge architectures are specifically designed to support data analytics and cognitive systems. IDC predicts that by , the spend on edge infrastructure will reach up to 18 percent of the total IoT infrastructure spend.

Human-Machine Communication & Language Processing

Enabling technologies like 5G wireless and edge computing are making this movement accelerate. That is, to impact customers while still delivering powerful business value. Remember, the goal of edge computing is to allow an organization to process data and services as close to the end-user as possible. Creating the business differentiator between traditional and next-generation capabilities.

This is going to be a very direct message to all of my friends in the data center, colocation, and provider space. A core tenet of insurance is the principle of utmost good faith.

The definition is inherently weak, because it hinges on faith , a notion which is highly exploitable. The current approach to circumvent the uncertainty of faith is through legal accountability. Most of us know that this is not an ideal solution. Smart contracts necessitate honesty and facts.

Hackernoon Newsletter curates great stories by real tech professionals

Inherently, they will only function based on discrete inputs and outputs that engaging parties agree on. To illustrate this superior doctrine, first consider a seemingly mundane transaction that every insured entity participates in: After an underwriter analyzes and approves an insurance policy, a client makes the calculated payment and receives the legal paper proving their policy by mail. At the insurance company where my mother works, an agent was perpetrating fraud through the sale of fake proof-of-insurance documents. If this process was automated in a smart contract , the mediating role of this corrupt agent would be pointless.

A smart contract could be designed so that when a client makes her payment, the documentation is automatically and instantly transmitted to her through electronic mediums, e. A lot of similar businesses are lagging far behind when it comes to integrating new technology. Industry software can be quite incomplete and costly , and requires that everyone using it must learn a new system. We should now circle back to iOlite to realize its imminent use potential.

Everyone in a company will be able to contribute their existing expertise, in vocabularies they understand. It also facilitates a marketplace where completed smart contracts can be bought and sold, effectively providing an outsourcing of intellectual-labor. All of this data is stored on its blockchain. By virtue of these combined features, iOlite innately curates a community of developers, researchers, industry professionals, freelancers, academics, businesses, and average users.

Zooming out to observe iOlite as a larger macro-system we see: a decentralized, market-driven ecology with demand for language-constructed solutions-development, fueled by a community of all sophistication levels. Pack that up, inject it in a VM-powered blockchain, and what do we find?

Hasta la vista, robot voice

This conceptual scaffolding is helpful to further address and explore the two other problems mentioned, which iOlite helps resolve. Chain Link is helping solve the former, providing a secure digital nervous system for data feeds between blockchains and off-chain resources such as IIoT data. This is an excellent springboard for iOlite, which delivers the interoperability power through translations equally important, if not more.

When the two are married, the resulting medium is much like an aether vastly more true to the etymology than Ethereum. That is to say, a seamless programmable communication protocol for every device or machine, virtual and physical. Returning to the untapped domain of insurance, we can outline some of many new and interesting applications:.

Genomics-technology companies could one day provide personal devices and services for real-time analysis of gene sequences. Many new internet-connected technologies such as home automation provide useful information from real events. If the owner tried filing a claim for liability coverage, there might be a clause in a smart contract policy which explicitly denies a claim for harm caused by animals when their containment is not secure. The insurance provider could have an online claim filing interface which integrates iOlite FAE modules. Shifting the focal point away from industry is where science-fiction becomes reality.

We are going deep.

Natural Language Processing: The Bridge Between Man and Machine

For quite some time, it has been no longer meaningful to try and argue that our minds are some kind of tabula rasa in their entirety. On the contrary, the mystery of consciousness seems to be slowly unraveling as a collection of interacting virtual machines. Natural language certainly plays a crucial role in this, giving us a markedly increased range of imagination, versatility, and self control.

The FAE has to learn to semantically identify arguments from concrete values entered by the user, in order to create a parsable generalization. Contributors incrementally and interactively help the FAE to learn languages they decide, by pruning incorrect interpretations and accepting correct ones. While this is an unavoidable bedrock for the early adopters, newcomers will be able to take advantage of progress already made.

All this has been building up to the final conclusions which iOlite could author, whether its developers realize these or not. The practopoetic hierarchy of the FAE provides working experimentation and research capacity which could theoretically prove or disprove that a non-biological system can have a mind , given that it contains the same functional constituents. If proven , iOlite would be one of the most important inventions of all time, close to language itself.