Artificial Intelligence: The Future
Tags: ai, machinelearning, computerscience
Published: 2024-04-11 07:03:48

## Introduction
Artificial intelligence (AI) is a wide-ranging branch of computer science that aims to build machines capable of performing tasks that typically require human intelligence. 

Artificial Intelligence is composed of two words Artificial and Intelligence, where Artificial defines "man-made," and intelligence defines "thinking power", hence AI means "a man-made thinking power."

## Goals of AI
- Replicating Human Intelligence
- Mastering Complex, Knowledge-Intensive Tasks
- Intelligent Learning and Adaptation
- Future Possibilities: AI as a Knowledgeable Advisor

## Types of AI
Artificial Intelligence can be divided in various types, there are mainly two types of main categorization which are based on capabilities and based on functionally of AI.

Based on the Capabilities it is 3 types:

1. Narrow AI: Narrow AI, also known as Weak AI, refers to artificial intelligence systems that are designed and trained to perform a specific task. The most common and currently available AI is Narrow AI in the world of Artificial Intelligence.

2. General AI: General AI is a type of intelligence which could perform any intellectual task with efficiency like a human. The idea behind the general AI to make such a system which could be smarter and think like a human by its own. Currently, there is no such system exist which could come under general AI and can perform any task as perfect as a human.

3. Super AI: Super AI is a level of Intelligence of Systems at which machines could surpass human intelligence, and can perform any task better than human with cognitive properties. Super AI is still a hypothetical concept of Artificial Intelligence. Development of such systems in real is still world changing task.


Based on functionality it is 4 types:

1. Reactive Machines: Purely reactive machines are the most basic types of Artificial Intelligence. Such AI systems do not store memories or past experiences for future actions. These machines only focus on current scenarios and react on it as per possible best action. IBM's Deep Blue system and Google's AlphaGo is an example of reactive machines.

2. Limited Memory: Limited memory machines can store past experiences or some data for a short period of time.
These machines can use stored data for a limited time period only. Self-driving cars are one of the best examples of Limited Memory systems.

3. Theory of Mind: Theory of Mind AI should understand the human emotions, people, beliefs, and be able to interact socially like humans. This type of AI machines are still not developed, but researchers are making lots of efforts and improvement for developing such AI machines.

4. Self-Awareness
Self-awareness AI is the future of Artificial Intelligence. These machines will be super intelligent, and will have their own consciousness, sentiments, and self-awareness. These machines will be smarter than human mind. Self-Awareness AI does not exist in reality still and it is a hypothetical concept.
 

## How Does AI Work ?
Artificial intelligence systems work by using algorithms and data. First, a massive amount of data is collected and applied to mathematical models, or algorithms, which use the information to recognize patterns and make predictions in a process known as training. Once algorithms have been trained, they are deployed within various applications, where they continuously learn from and adapt to new data. This allows AI systems to perform complex tasks like image recognition, language processing and data analysis with greater accuracy and efficiency over time.

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/da20g3u7431137o815rl.png)

## Applications of AI
Artificial Intelligence (AI) has a wide range of applications and has been adopted in many industries to improve efficiency, accuracy, and productivity. Some of the most common uses of AI are:

- Healthcare: AI is used in healthcare for various purposes such as diagnosing diseases, predicting patient outcomes, drug discovery, and personalized treatment plans.
- Finance: AI is used in the finance industry for tasks such as credit scoring, fraud detection, portfolio management, and financial forecasting.
- Retail: AI is used in the retail industry for applications such as customer service, demand forecasting, and personalized marketing.
- Manufacturing: AI is used in manufacturing for tasks such as quality control, predictive maintenance, and supply chain optimization.
- Transportation: AI is used in transportation for optimizing routes, improving traffic flow, and reducing fuel consumption.
- Education: AI is used in education for personalizing learning experiences, improving student engagement, and providing educational resources.
- Marketing: AI is used in marketing for tasks such as customer segmentation, personalized recommendations, and real-time audience analysis.
- Gaming: AI is used in gaming for developing intelligent game characters and providing personalized gaming experiences.
- Security: AI is used in security for tasks such as facial recognition, intrusion detection, and cyber threat analysis.
- Natural Language Processing (NLP): AI is used in NLP for tasks such as speech recognition, machine translation, and sentiment analysis.

## Future Of AI

- AI and ML will transform the scientific method
- AI will become a pillar of foreign policy

- AI will enable next-gen consumer experiences

- AI will enable truly personalized medicine

- Addressing the climate crisis will require AI