Means and Ways to Succeed with Different Categories of AI Tools and Applications !!

Abstract

AI capabilities have been evolving steadily since the breakthrough development of artificial neural networks in 2012, which allow machines to engage in reinforcement learning and simulate how the human brain processes information. AI continues to shift, meaning AI categories and AI terminology may differ (and overlap) from one source to the next. However, the types of AI can be largely understood by examining two encompassing categories: AI capabilities and AI functionalities.

Keywords

AI Tools, AI Functionalities, Strong AI, Weak AI, NLP, Machine learning, 

Learning Outcomes 

After undergoing this article you will be able to understand about categories of AI 

1. Categories of AI 

There are several categories of artificial intelligence (AI) tools, including: 

1.1. Reactive machines

The oldest and most basic type of AI, these machines are limited and can't learn or improve over time. They can't create memories or use past experiences to make decisions. 

1.2. Limited memory AI

A type of functional AI that stores previous data and predictions to derive knowledge. It's one of the most popular types of AI today. 

1.3. Machine learning

A category of AI that uses algorithms to build predictive analytics that allow computers to learn without being explicitly programmed. The algorithms receive input data and use statistics to predict an output, adapting as new data becomes available. 

1.4. Self-aware AI

Considered one of the most technologically advanced forms of human innovation in AI, self-aware AI involves machines that can possess consciousness on par with humans. 

1.5. Narrow AI

A common type of AI that trains machines to perform a single or specific task at a time. These machines can't perform tasks beyond their limitations and may fail if they try. 

1.6. Functional AI

Involves applying AI technologies to perform specific tasks or functions. 

1.6. NLP

An area of AI that processes natural speech, text, and video to gain intelligence. NLP tools can perform functions such as speech recognition, computer vision, and object detection. 

2. Another category of AI is AI tools by type, which includes

weak AI and strong AI: 

2.1 Weak AI: 

Weak artificial intelligence (AI), also known as narrow AI, is a type of AI that's designed to carry out a specific task or set of functions. It's the only type of AI that currently exists. Weak AI models human intelligence and behavior to solve complex problems, but it lacks the cognitive abilities of the human brain and can't adapt outside of its domain. 

Weak AI algorithms are trained to classify data and make decisions based on how they were programmed. They can't stray from their programmed path and are limited in their adaptability. For example, a machine that's designed to pick items in a warehouse can't flip burgers in a restaurant without human intervention. 

Here are some examples of weak AI: 

Chatbots and conversational assistants

These include popular virtual assistants like Google Assistant, Siri, and Alexa. 

Image and video processing

Weak AI models can process images and videos to detect objects, segment images, and recognize facial features. 

Social media

Weak AI systems can automatically identify people in photographs, as used by companies like Facebook and Google. 

2.2 Strong AI: 

Strong AI, also known as Artificial General Intelligence (AGI), seeks to replicate the complete cognitive abilities of humans. This encompasses human intelligence, cognitive abilities, and common sense reasoning. The ultimate goal of strong AI is to demonstrate general problem-solving capabilities and emulate the human mind and level of intelligence, representing a significant amount of human intervention and practical examples.

3. Key Features of Strong AI
Strong AI, also known as strong artificial intelligence, encompasses the full spectrum of human cognitive abilities, including common sense and general problem-solving skills.

 It goes beyond specific tasks and mathematical equations, aiming to replicate the cognitive abilities and brain functions of humans. 

The ultimate goal is to mirror life experiences and beliefs of other intelligent entities, akin to the second of neural activity.

Examples of strong AI include the Turing Test and the computer program Deep Blue, which played chess matches like a star trek.

4. AI Tool Categories by application functions

AI has permeated every aspect of our lives, revolutionizing numerous industries along the way:

Applications of artificial intelligence (AI)

There are many different applications of AI, including:

• Natural language processing (NLP): NLP allows computers to understand and generate human language. This technology is used in a variety of applications, such as machine translation, spam filtering, and sentiment analysis.
• Computer vision: Computer vision allows computers to identify and interpret visual content. This technology is used in a variety of applications, such as self-driving cars, facial recognition, and object detection.
• Machine learning (ML): ML allows computers to learn from data and improve their performance over time. This technology is used in a variety of applications, such as predictive analytics, fraud detection, and recommendation systems.
• Robotics: Robotics is the branch of AI that deals with the design, construction, and operation of robots. Robots are used in a variety of applications, such as manufacturing, healthcare, and space exploration.

4.1. AI in education

AI could be used in education to personalize learning, improve student engagement, and automate administrative tasks for schools and other organizations. 

• Personalized learning: AI can be used to create personalized learning experiences for students. By tracking each student's progress, AI can identify areas where the student needs additional support and provide targeted instruction.
• Improved student engagement: AI can be used to improve student engagement by providing interactive and engaging learning experiences. For example, AI-powered applications can provide students with real-time feedback and support.
• Automated administrative tasks: Administrative tasks, such as grading papers and scheduling classes can be assisted by AI models, which will help free up teachers' time to focus on teaching.

The text and writing AI Tools list worth knowing are the following:

Text & Writing

Copywriting ( 190 tools )

Email Assistant ( 128 tools )

General Writing ( 258 tools )

Paraphraser ( 27 tools )

Story Teller ( 72 tools )

Summarizer ( 154 tools )

Education & Information

Education Assistant (203 tools)

Experiments ( 43 tools )

Research ( 146 tools )

Resources ( 89 tools )

AI Search Engines ( 109 tools )

4.2. The image and design AI Tools list worth knowing are the following:

Image & Design

Art ( 132 tools )

Avatars ( 99 tools )

Design Assistant ( 167 tools )

Image Editing ( 145 tools )

Image Generator ( 236 tools )

Logo Generator ( 18 tools )

Design ( 2 tools )

4.3. The audio and music AI Tools list worth knowing are the following:

Audio & Music

Audio Editing ( 51 tools )

Music ( 97 tools )

Text To Speech ( 79 tools )

Transcriber ( 102 tools )

4.4. The video and animation AI Tools list worth knowing are the following:

Video & Animation

Personalized Videos ( 20 tools )

Video Editing ( 71 tools )

Video Generator ( 85 tools )

3D ( 60 tools )

4.5. The marketing and sales AI Tools list worth knowing are the following:

Marketing & Sales

SEO ( 143 tools )

Social Media Assistant ( 196 tools )

E-commerce ( 53 tools )

Sales ( 137 tools )

Marketing ( 10 tools )

Email Marketing ( 1 tools )

4.6. AI in healthcare

AI is also playing an increasingly important role in healthcare. AI-powered tools can help doctors diagnose diseases, develop new treatments, and provide personalized care to patients. For example:

• Disease diagnosis: AI can be used to analyze patient data and identify patterns that may indicate a disease. This can help doctors diagnose diseases earlier and more accurately.
• Treatment development: By analyzing large datasets of patient data, AI can identify new patterns and relationships that can be used to develop new drugs and therapies.
• Personalized care: By analyzing a patient's data, AI can help doctors develop treatment plans that are tailored to the patient's specific needs.

Lifestyle & Entertainment AI Tools required to be able to understand are the following:

Fashion ( 20 tools )

Real Estate ( 26 tools )

Fun Tools ( 190 tools )

Gaming ( 51 tools )

Gift Ideas ( 29 tools )

Healthcare ( 75 tools )

Life Assistant ( 280 tools )

Memory ( 21 tools )

Fitness ( 21 tools )

Travel ( 48 tools )

Dating ( 40 tools )

Religion ( 11 tools )

AI Meme ( 5 tools )

Development & IT

Prompts ( 125 tools )

Code Assistant ( 122 tools )

Developer ( 245 tools )

Low-Code/No-Code (150 tools )

Spreadsheets ( 54 tools )

SQL ( 43 tools )

Testing & QA ( 1 tools )

4.7. AI in finance

AI can help financial services institutions in five general areas: personalize services and products, create opportunities, manage risk and fraud, enable transparency and compliance, and automate operations and reduce costs. For example:

• Risk and fraud detection: Detect suspicious, potential money laundering activity faster and more precisely with AI.

• Personalized recommendations: Deliver highly personalized recommendations for financial products and services, such as investment advice or banking offers, based on customer journeys, peer interactions, risk preferences, and financial goals.
• Document processing: Extract structured and unstructured data from documents and analyze, search and store this data for document-extensive processes, such as loan servicing, and investment opportunity discovery.

Business & Admin

Customer Support ( 173 tools )

Finance ( 78 tools )

Human Resources ( 143 tools )

Legal Assistant ( 29 tools )

Presentations ( 30 tools )

4.8 AI in Manufacturing 

Some ways that AI may be used in manufacturing include:

• Improved efficiency: Automating tasks, such as assembly and inspection
• Increased productivity: Optimizing production processes
• Improved quality: AI can be used to detect defects and improve quality control

AI Tools required to be familiar with  are

Productivity ( 401 tools )

Startup ( 164 tools )

9. Conclusions 

The evolution of AI has been a remarkable journey, with countless breakthroughs and innovations propelling the field forward. Ultimately, the evolution of AI is a testament to the power of human ingenuity and our relentless pursuit of knowledge. As AI continues to develop, it has the potential to redefine the way we live, work, and interact with the world around us.