I read the white paper. There's something about the neural network called thought, a very complex explanation about the self-organizing AI organism
in the mobilization of a blockchain framework to ensure a transactional structure and
cybersecurity. Question. Why is it so hard to explain?
Hey there, dzkrb!
We are sorry you are having difficulties understanding this, and we want it to be clear for you. So let us try this way:
Within the last hundred years, humans have landed on the Moon, invented computers, and the Internet. We can take our smartphones, order goods online and have it delivered to our doorstep within a few hours, and we can have video calls with our friends across the planet and connect with millions of people without much effort. All thanks to the Internet.
All of these inventions have caused exponential growth in data, all which is generated by humanity. Around 90% of the world’s data has been produced within the past few years. According to the International Data Corporation, in 2016, humans created around 16.3 ZB (16.3 trillion GB) of data, and by 2025, this number will grow tenfold, to 163 ZB.
To store all of this information, we need massive data storage facilities and powerful computers to analyze and process all of it. Already there are some data centers as large as the Pentagon, and computer transistors the size of a few atoms, reaching the limits of traditional computers. This means that at some point, going further with our current methods will no longer be feasible.
According to International Data Corporation, by the year of 2025, less than one-fifth of the world’s data will be analyzed, and while over 90% of the information requires some level of security, only half of it will be secured.
“All data is created equal until it is sifted and categorized by insight engines. Data is inherently inanimate, and only becomes valuable within the context of an application,” explains Professor Andrew Hacker, the Founder, and CEO of Thought Network, a Harrisburg University backed blockchain and AI start-up, which tackles the problem with ever-growing amounts of data from an entirely new angle.
“Things like the web, different social media platforms, and IoT devices continue to drive exponential data growth, while businesses are creating more and more applications that can use this information. This adds up to a landscape littered with applications, too much data, and insufficient intelligence to handle it.”
“Even with the progress AI and Data Analytics industries have made, they still have to face significant challenges and inefficiencies. Already in 2018, even the most innovative deep learning techniques, which mimic the human brain, struggle to sift through the world’s information.”
Thought Network and Smart Data
Thought Network has gone beyond our current solutions by removing the application layer and embedding smart logic directly into pieces of data. Data will no longer be inanimate; it becomes agile, able to act on its own, directly at the source of creation, distribution, or action.
Otherwise ‘dumb’ data, which needs applications that can process and categorize it to become useful, becomes smart. Smart Data understands its origin and its purpose; it can communicate with other pieces of information and accomplish its goal.
While all of the other companies in the AI and data industries focus on expanding their capability to store, analyze and process larger and larger amounts of data, Thought focuses on handling data more efficiently. By making data able to act on its own, it eliminates the problem with uncategorized data which just sits around – data becomes able to categorize itself and fulfill its purpose straight after its creation.
“Smart Data reduces process latency and can eliminate a gigantic layer of cost and complexity from an organization of any type and any industry. No longer is it necessary to collect data, examine it, and run it through an application. Data can take action immediately and continuously,” says Professor Hacker, who was granted a US patent for his concept of Smart Data.
For example, if a machine in a factory would be about to break down, this information doesn’t have to be sent to the central command system that decides whether to shut the machine down or not. Instead the information gathered from the sensors can decide on its own. This saves precious seconds and spares costly equipment – not to mention people – from unnecessary damage or harm.
If the average power grid would run on Thought, it would be possible to create a self-healing and fully autonomous power grid. Even if an outside party were able to bring down a part of the grid, the network would self-heal and come back online on its own.
“Thought incorporates multiple levels of dynamic encryption on the data layer itself. Being able to secure the smallest units in computing – individual pieces of data – is the Holy Grail of cybersecurity.” explains Andrew Hacker, who’s also a Cybersecurity Expert in Residence at Harrisburg University.
Conclusion
Thought Network’s Smart Data holds great potential in dealing with the exponential growth in data creation and the problems it hides.
“Going forward, the current paradigm will no longer be scalable, extensible, adaptable or smart enough to cope with the massive influx of information generated by our society.” Says Professor Hacker. “Thought solves these challenges by moving artificial intelligence from the application layer to the data layer, making data processing more efficient, intelligent and above all more secure.”
and insights
