Looking At The Defining Qualities Of Artificial Intelligence In This AI Overview
In this IKIN Blog, we’ll be conducting an AI overview to explore and explain some basic understanding of artificial intelligence–what it is, how it works, and what it looks like. IKIN uses AI as a central component of its hologram technology, specifically for the IKIN ARC dimensional display, the RYZ holographic mobile application, and their accompanying SDKs. AI is a foundational pillar of modern technology and one of society’s surest paths forward for solving both technological and human problems. So, if you’re at all unclear on what it is, now is the time to remedy that confusion.
What Is AI Technology?
AI technology, or artificial intelligence, is a branch of computing that is designed to operate like the human brain. It can be a system, program, or machine that mimics the thought and problem-solving processes of people to perform complex tasks that would otherwise require human involvement. AI is built on our understanding of how people organize and process information and thus harnesses a level of human intelligence in its design and application. Many AI technologies involve some level of self-learning, or “machine learning” as it’s termed, which is an AI’s ability to collect, analyze, and learn from data to improve its functionality. The ability of AI to learn is a defining trait of AI conceptualization, but, in practice, it is only a specific subset of AI technology. As the American computer technology company Oracle distinguishes, while “all machine learning is AI, not all AI is machine learning.”
What Are The Different Types Of AI Technology?
There is no definitive list of AI types, but there are some recurring forms that are popularly accepted as distinct AI technology delineations. While Forbes names seven types of AI, the American information technology company BMC Software identifies the four most regularly classified types of AI technology:
- Reactive Machines
- Limited Memory
- Theory of Mind
- Self-Aware
BMC notes that AI technology has generally evolved past the first type, Reactive Machines, into the second type, Limited Memory AI, and that Theory of Mind and Self-Aware AI are still theoretical types of AI.
Reactive Machines
Reactive Machines are the original and most basic type of AI. They are, as the name suggests, AI that reacts to an input with an output response. While Reactive Machines can select the proper or best response based on clearly established parameters, no learning occurs in this type of AI. It is built only to react and to react predictably. Thus, even though a Reactive Machine built to play chess can select the correct moves–from an exceedingly high number of possible options–to beat a chess grandmaster, it could never learn to expand its own programming beyond that particular game.
Limited Memory
Limited Memory AI, on the other hand, uses memory (i.e., experience) to alter its understanding of and interaction with the world. Limited Memory AI uses the past to inform the present and make predictions about the future, thus employing machine learning. Today’s go-to example of Limited Memory AI in action is modern–yet, still very much developing–self-driving cars. A self-driving vehicle uses stored data about how other vehicles move, flows of traffic, real-world obstacles, road conditions, etc. to improve its understanding of the world and driving protocols, continuously improving its own design as it learns and stores these learnings for future use and further improvement.
Theory of Mind
Theory of Mind is the first level in the theoretical next evolution of AI. Beyond the ability of Reactive Machines to identify complex external behavior, react to it, learn from it, and use these experiences to improve future predictions, Theory of Mind would build into this understanding of the world the notion that external forces (people, animals, objects) have thought processes–and even feelings–behind their actions. Theory of Mind would bring AI technology significantly closer to how humans perceive the world and our interactions within it.
Self-Aware
The logical next evolution of AI cognition is then Self-Aware AI wherein AI technology utilizes Theory of Mind to understand the external world to such a state that it becomes self-aware, subjective–that the AI recognizes not just that external figures have thoughts, feelings, and self-preception, but that it does too.
Again, Self Aware and Theory of Mind level AI are still only theoretical forms. For now, current AI technology continues to develop Limited Memory AI applications.
Popular Examples Of AI Technology
Modern AI technology comes in many forms. The chatbots we interact with when calling customer support for many businesses are a form of AI as are Apple’s Siri and Amazon’s Alexa. When you write an email or memo and proofread your writing using the popular grammar-check extension Grammarly, you are utilizing AI technology. According to the Grammarly Blog, “Grammarly’s AI system combines machine learning with a variety of natural language processing approaches” to analyze the complexity of language rules and usage to make grammatical corrections and recommendations to improve your writing. When you use Netflix, Hulu, Amazon Prime Video, HBO Max, or any of the many, many modern streaming services, your watch history and any related ratings you’ve applied to it are factored through an AI-assisted algorithm that assesses your watching preferences and makes recommendations for similar content that you may also enjoy.
IKIN And AI
Since its founding, IKIN has developed AI as a core element of the company’s hologram technology. IKIN hologram technology, like that used in the IKIN ARC and RYZ systems, uses neuro-adaptive AI to streamline the creation and rendering of holographic content. IKIN’s tech relies on AI-assisted face-tracking technology rather than goggles, glasses, or other headgear, to orient perspective and generate realistic depth and dimension. Additionally, IKIN uses AI to maximize the bandwidth and resource efficiency of its technology on 5G and 4G networks ensuring hologram versatility and consistency across applications.
An Ongoing Look At AI Technology
AI technology is in an exciting place. We are seeing its widespread application across numerous industries to solve both small-scale and global challenges. It is being applied to improve how our inboxes sort our emails and also to generate potential solutions to combat climate change. It is truly a marvel of modern technology that has grown from relatively simplistic machines to the most advanced computers of the day. In the next IKIN Blog, we will look at how AI technology came to be, how it evolved over the decades, and grew its applications to become one of the defining technology of today.
As always, to learn more about IKIN’s ongoing developments in holographic technology and hologram applications, please visit the IKIN Blog. And, remember to follow IKIN on social media.
