What is artificial intelligence?
While a number of definitions of artificial intelligence (AI) have surfaced over the last few decades, It is the science and engineering of making intelligent machines, especially intelligent computer programs. It is related to the similar task of using computers to understand human intelligence. But AI does not have to confine itself to methods that are biologically observable.
How Artificial Intelligence (AI) Works?
Building an AI system is a careful process of reverse-engineering human traits and capabilities in a machine. And using it’s computational prowess to surpass what we are capable of To understand How Artificial Intelligence actually works. One needs to deep dive into the various sub domains of Artificial Intelligence . And In addition understand how those domains could be apply into the various fields of the industry.
- Machine learning : ML teaches a machine how to make inferences and decisions based on past experience. It identifies patterns, analyses past data to infer the meaning of these data points to reach a possible conclusion. Without having to involve human experience. This automation to reach conclusions by evaluating data. Saves a human time for businesses and helps them make a better decision.
- Deep Learning: ia an ML technique. It teaches a machine to process inputs through layers in order to classify, infer and predict the outcome.
- Neural Networks : Neural Networks work on the similar principles as of Human Neural cells. Also They are a series of algorithms that captures the relationship between various underying variabes and processes the data as a human brain does.
- Natural language processing : NLP is a science of reading, understanding, interpreting a language by a machine. Once a machine understands what the user intends to communicate, it responds accordingly.
- Computer Vision : Computer vision algorithms tries to understand an image by breaking down an image and studying different parts of the objects. Also This helps the machine classify and learn from a set of images, to make a better output decision based on previous observations.
- Cognitive computing : Cognitive computing algorithms try to mimic a human brain by anaysing text/speech/images/objects in a manner that a human does and tries to give the desired output.
What are the Types of Artificial Intelligence?
Not all types of AI all the above fields simultaneously. Different Artificial Intelligence entities are built for different purposes, and that’s how they vary. AI can be classified based on Type 1 and Type 2 (Based on functionalities). Here’s a brief introduction the first type.
3 Types of Artificial Intelligence
- Artificial Narrow Intelligence (ANI)
- and Artificial General Intelligence (AGI)
- Artificial Super Intelligence (ASI)
What is Artificial Narrow Intelligence (ANI)?
This is the most common form of AI that you’d find in the market now. These Artificial Intelligence systems are designed to solve one single problem and would be able to execute a single task really well. By definition, they have narrow capabilities, like recommending a product for an e-commerce user or predicting the weather. So This is the only kind of Artificial Intelligence that exists today. They’re able to come close to human functioning in very specific contexts, and even surpass them in many instances, but only excelling in very controlled environments with a limited set of parameters.
What is Artificial General Intelligence (AGI)?
AGI is still a theoretical concept. It’s defined as AI which has a human-level of cognitive function, across a wide variety of domains such as language processing, image processing, computational functioning and reasoning and so on.
We’re still a long way away from building an AGI system. An AGI system would need to comprise of thousands of Artificial Narrow Intelligence systems working in tandem, communicating with each other to mimic human reasoning. Even with the most advanced computing systems and infrastructures, such as Fujitsu’s K or IBM’s Watson, it has taken them 40 minutes to simulate a single second of neuronal activity. This speaks to both the immense complexity and interconnectedness of the human brain, and to the magnitude of the challenge of building an AGI with our current resources.
What is Artificial Super Intelligence (ASI)?
We’re almost entering into science-fiction territory here, but ASI is seen as the logical progression from AGI. An Artificial Super Intelligence (ASI) system would be able to surpass all human capabilities. This would include decision making, taking rational decisions, and even includes things like making better art and building emotional relationships.
Once we achieve Artificial General Intelligence. AI systems would rapidly be able to improve their capabilities and advance into realms that we might not even have dreamed of. While the gap between AGI and ASI would be relatively narrow (some say as little as a nanosecond, because that’s how fast Artificial Intelligence would learn) the long journey ahead of us towards AGI itself makes this seem like a concept that lays far into the future.
What is the Purpose of Artificial Intelligence?
The purpose of Artificial Intelligence is to aid human capabilities and help us make advanced decisions with far-reaching consequences. That’s the answer from a technical standpoint. From a philosophical perspective. Artificial Intelligence has the potential to help humans live more meaningful lives devoid of hard labour. And help manage the complex web of interconnected individuals, companies, states and nations to function in a manner that’s beneficial to all of humanity.
Currently, the purpose of Artificial Intelligence is share by all the different tools and techniques . That we’ve invented over the past thousand years – to simplify human effort, and to help us make better decisions. Artificial Intelligence has also been touted as our Final Invention, a creation that would invent ground-breaking tools and services that would exponentially change how we lead our lives, by hopefully removing strife, inequality and human suffering.
That’s all in the far future though – we’re still a long way from those kinds of outcomes. Currently, Artificial Intelligence is being used mostly by companies to improve their process efficiencies, automate resource-heavy tasks. And to make business predictions based on hard data rather than gut feelings. As all technology that has come before this, the research and development costs need to be subsidised by corporations and government agencies before it becomes accessible to everyday laymen.
Where is Artificial Intelligence (AI) Use?
AI is use in different domains to give insights into user behaviour and give recommendations based on the data. For example, Google’s predictive search algorithm used past user data to predict what a user would type next in the search bar. Netflix uses past user data to recommend what movie a user might want to see next, making the user hooked onto the platform and increase watch time. Facebook uses past data of the users to automatically give suggestions to tag your friends, based on their facial features in their images. AI is use everywhere by large organisations to make an end user’s life simpler. The uses of Artificial Intelligence would broadly fall under the data processing category, which would include the following:
- Searching within data, and optimising the search to give the most relevant results
- Logic-chains for if-then reasoning, that can be apply to execute a string of commands based on parameters
- Pattern-detection to identify significant patterns in large data set for unique insights
- Applied probabilistic models for predicting future outcomes
Therefore in this article we discussed the artificial intelligence and every important things about that so we hope you enjoy .