what is AI? Applications of Artificial Intelligence

Today when I am traveling to some new place on a vacation, and Google shows me nearby places to visit. I wonder how does Google able to show me all this information without me even searching for them.

Can Google read my mind?

Do you remember the movie “Terminator” which shows Arnold Schwarzenegger as Terminator, a robot who travels in time to kill Sarah?

After seeing the movie I use to wonder “Is it possible?” But today I can say it might be possible.

 

And when I was searching for answers to all my questions, I read about an interesting concept called AI. I started to read more about it, and I thought many people like me might also have questions like mine. So I am writing this article to quench the thirst for knowledge of many such readers who have similar questions.

What is AI?

AI or Artificial Intelligence is a branch of science that deals with machines that perform tasks just like humans would do in that situation.

Programmers study the brain of humans. They learn how they think, logically apply their skill and take necessary action when a task is assigned to them. This knowledge is used to program machines to the way humans do. This is achieved through various algorithms that analyze all the data available with them. These programs learn from user experience, patterns, and so on.

Eg: Say if we are looking for a product on the Internet, and then we visit the Amazon website, it would recommend products based on our previous search on Google machines.

AI is such a vast field, that even today with so many AI-based applications in the market, we have just touched about 5% of totality.

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 Types of AI

Artificial intelligence can be classified in three types:

• Artificial limited intelligence

A learning algorithm is developed for a specific goal in narrow artificial intelligence (narrow AI), and any knowledge obtained from completing that task is not instantly applied to other tasks. Artificial limited intelligence, or ANI, is sometimes known as weak or constrained AI. Because ANI is goal oriented, designed to perform a specific task (such facial recognition, speech recognition/voice assistants, driving a car, or browsing the internet), and focused on that activity exclusively, it is very effective at attaining the goal.

•  Artificial General Intelligence(AGI): 

Artificial general intelligence (AGI) is the software equivalent of generalized human cognitive abilities that would allow an AGI system to solve a problem when faced with a difficult task.

AGI, also known as strong AI or deep AI, is the idea of a machine with general intelligence that can learn and use its intelligence to solve any problem. In any situation, AGI is capable of reasoning, comprehending, and behaving exactly as a human would.

• Artificial Super Intelligence(ASI): 

A software-based system with cognitive capacities that are superior to those of humans in a multitude of categories and fields of study is referred to as artificial superintelligence (ASI).

Artificial superintelligence (ASI) is a term for hypothetical AI that is capable of more than only replicating or comprehending human intelligence and behavior). When computers are capable of outperforming human intelligence and become self-aware, ASI happens.

 Uses of AI

The world’s many industries are changing their tendencies as a result of artificial intelligence (AI). With the help of technical advancements, a variety of applications of AI are changing our lives.

The entire world is becoming digitized as a result of the integration of AI technology with diverse applications and hardware. In this blog,
we’ll examine how artificial intelligence is used in a variety of fields, including robotics, medicine, the military, and many more. Several instances of artificial intelligence being applied in data processing are included in the list below:

 

Defense

One of the most important fields for AI’s contributions is defense. Attacks by hackers who want to acquire secret military or governmental data might compromise defense security systems. Any nation could ultimately suffer from this. Given that doing so manually can be time-consuming and run the risk of ignoring potential threats, artificial intelligence (AI) can be highly helpful in finding and processing aberrant behaviour.

Robotics

The science and practice of designing and building devices or robots that can perform tasks on their own is known as robotics. Modern robots are becoming increasingly proficient at executing tasks without requiring human intervention. This is because tools and approaches for AI have been primarily targeted at the field of robotics. Advanced robots have a variety of functions, including sensors, high-definition cameras, voice recognition technologies, etc.

Healthcare

Today, the vast majority of healthcare businesses run their daily operations using AI-based technologies. These responsibilities include diagnosing patients and monitoring hospital data. Advanced processors powered by AI are required in order to extract, modify, analyze, and gain insight from the 44 trillion gigabytes of data produced everyday by the healthcare industry.

Transport

The transportation sector has undergone a substantial upheaval as a result of artificial intelligence. Given the fierce competition in the transportation industry, it is essential to consider every factor that can have an impact on the various business divisions. Price, season, special days, and passenger volume are a few examples of these.

Marketing

Currently, the marketing industry is revolutionized by the application of AI. AI is used to increase profitability across a range of businesses, including e-commerce, e-learning, advertising, media, and entertainment. Consider conducting a product search on Amazon. Along with the product, it will also show you the best-selling things, related goods, similar goods in different forms, and a list of recommendations.

AI Facts and Figures

• According to Statista, the worldwide artificial intelligence (AI) software market will bring in 126 billion dollars by 2025.
• According to Gartner, 37% of businesses have employed AI in some capacity, demonstrating an increase in both AI technology adoption and AI skill integration into business operations. The percentage of organizations utilizing AI has surged by 270% during the past four years..
• Automated intelligence will drive 95% of customer interactions by 2025, says Servion Global Solutions.
• A recent Statista estimate from 2020 projects that the global AI software market will grow at almost 54% per year and reach a projected value of USD 22.6 billion. 

Now, let’s examine the various domains in which artificial intelligence is applied.

What are the Applications of Artificial Intelligence?(application as per industry)

Today’s society makes use of artificial intelligence in a variety of ways. It is becoming increasingly well-liked these days because of its capacity to effectively handle challenging issues in various industries, including finance, healthcare, entertainment, and education. 

We’ll go into great detail about a few of the most popular AI applications.

1. Artificial Intelligence in Astronomy

• The application of artificial intelligence in resolving intricate problems in the universe can be highly beneficial. AI technology can help comprehend the universe, including its origins and workings.
  
  

2. Artificial Intelligence in Healthcare

• AI has been more beneficial to the healthcare sector during the past five to ten years and will significantly impact this sector.
• The healthcare sector uses artificial intelligence (AI) to diagnose patients more rapidly and correctly than humans. Artificial intelligence (AI) can help doctors diagnose patients and notify them when their health worsens, enabling timely medical care delivery and preventing hospitalization.
  
  

3. Artificial Intelligence in Gaming

• AI has applications in games. AI systems can play strategic games like chess, where the computer must consider a wide range of possible positions.
  
  

4. Artificial Intelligence in Finance

• The banking and AI sectors make the most sense together. The finance sector integrates machine learning, chatbots, automation, adaptive intelligence, and algorithm trading into its financial operations.
  
  

5. Artificial Intelligence for Data Security

• Every business must prioritize data security, yet cyberattacks are becoming more frequent and more sophisticated in the digital age. Your data may be safer and more secure with the help of AI. To identify software bugs and cyberattacks more accurately, some examples include the AEG bot and AI2 Platform.
  
  

6. Artificial Intelligence in Social Media

• Social networking sites like Facebook, Twitter, and Snapchat have billions of user accounts, all needing highly efficient management and storage. AI can handle and organize enormous volumes of data. By sifting through mountains of data, AI can find the most recent trends, user demands, and hashtags.
  
  

7. AI in Transportation & Travel

• The travel industry is starting to require more and more AI. AI can do various travel-related tasks, including booking reservations and recommending the best hotels, flights, and routes from client to client. The tourism sector uses chatbots driven by AI to interact with customers in a human-like way for speedier and more accurate responses.
  
  

8. AI in the Automobile Sector

• Some automotive companies are utilizing AI to give users access to virtual assistants for improved efficiency. For example, Tesla just unveiled its intelligent virtual assistant, TeslaBot.
• Many industries are actively working on creating self-driving automobiles that can increase the security and safety of your travels.
  
  

9. AI in Robotics:

• One area where artificial intelligence is quite essential is robotics. Robots typically follow a list of instructions and do the same things repeatedly. But with artificial intelligence (AI), we can make intelligent robots that can learn from their own experiences and do tasks based on those instead.

 

• Robots that resemble people in speech and behaviour are known as humanoid robots or humanoids. The most advanced instances of artificial intelligence in robotics are these machines known as Erica and Sophia.

 

10. Artificial Intelligence in Entertainment

• These days, we use AI-powered apps in our daily lives, along with entertainment providers like Netflix and Amazon. These services display programs or show recommendations using ML/AI algorithms.

 

11. Artificial Intelligence in Agriculture

• Agriculture is a sector that requires a variety of resources, including labour, money, and time, to achieve the most significant outcomes. Artificial intelligence is evolving in this field as agriculture is becoming more digitalized.Artificial intelligence (AI) has several applications in agriculture, including agricultural robotics, crop and solid monitoring, and predictive analysis. AI in agriculture has a lot to offer farmers.
  
  

12. Artificial Intelligence in E-commerce

Artificial Intelligence provides a competitive advantage to the e-commerce industry and is increasingly essential for e-commerce businesses. AI assists consumers in finding products with suggested brands, colours, and sizes.

 

13. AI in Education:

• By automating grading, AI frees up the tutor’s time to educate. An AI chatbot can act as a teaching assistant by interacting with pupils.
• Artificial intelligence (AI) has the potential to become a convenient personal virtual tutor for students at any time and anywhere in the future.

 

 Common Applications of Deep learning in AI?

A machine learning technology called deep learning helps computers to learn by imitating how people learn. Deep learning is crucial for driverless cars to distinguish between a pedestrian and a lamppost and detect stop signs.

Speech recognition
One of the most widespread uses of deep learning is this. For tasks involving natural language processing, it makes use of recurrent neural network (RNN) and long short-term memory (LSTM) deep learning architecture. Deep learning algorithms make it feasible to reach a high level of accuracy. Numerous chatbots have been created to help individuals with everyday tasks. For instance, Apple’s Siri and chatbots are currently used in locations like train stations and airports.

Computer vision

Machine learning’s application of computer vision makes heavy use of deep learning models’ capabilities. For instance, it is frequently employed in the identification of objects, such as the detection of vehicles, facial recognition, and the diagnosis of diseases from medical photographs. Additionally, driverless vehicles use it.

Recommendation system

This uses deep learning architecture to generate recommendations based on the users’ previous selections. To enhance user experience, the majority of e-commerce websites use recommendation systems. displaying products based on what buyers have already purchased, for instance.

Fraud detection

Deep learning is widely used to detect dishonest conduct, such false social media profiles and transactions. Additionally, multi-layer neural network topologies are employed to detect these behaviors.

Future deep learning implementations will be employed in a wide range of scenarios that need the handling of massive volumes of data as well as extremely accurate predictions.

How is AI used in daily life?

Two AI-powered personal assistants, Siri and Google Assistant, are now prevalent in many people’s daily lives. Technologies based on artificial intelligence (AI) are also being utilized to improve user experience and offer more specialized recommendations and services.

AI can assist us in every part of our lives, whether we’re trying to read our emails, receive driving directions, or locate music or movie recommendations. Here are a few examples of modern applications for artificial intelligence:

Digital Assistants

Using AI and machine learning, these digital assistants understand and pick up on your preferences based on your prior activities. They can use what they know about you to predict your behavior and make recommendations based on your previous interactions and preferences.

Self Driving and parking cars

The AI software in the automobile connects to every sensor and collects information from the internal cameras and Google Street View. The AI controls driver control systems including steering and braking by mimicking human vision and decision-making processes via deep learning.

Movie Recommendation on Netflix

It offers customers individualized movie recommendations. To do this, Netflix analyzes a specific user’s viewing habits and compares them to the movie tastes of other users who have similar likes using ML/AI/Data. As a result, Netflix has the best collection of potential entertainment for you in terms of movies and television episodes.

Social Media

For instance Meta uses AI to find and remove false information and destructive content. Instagram uses AI to propose posts and stories based on user activity. TikTok uses AI to personalize user experiences and make video recommendations.

E-mail Communication

Data can be used by AI to infer the names, locations, interests, and most recent email check-in times of recipients. In order to automatically create unique versions of your message for each recipient, this information is then connected to information about you.

 
What can AI be used for in the future?

Future environmental difficulties, such as climate change and the forecasting of natural disasters, can be resolved with artificial intelligence (AI). In the future, AI will replace many dangerous tasks, including those involving the collection of radioactive waste.

It’s obvious that the future of AI looks quite interesting based on the current advancement of AI and machine learning. 80% of Canadian organizations, according to Accenture, think AI is essential for expansion and achieving goals.

How will AI influence the future?

In the near future, AI’s influence on how we live our lives will only grow. Our lifestyles will increasingly incorporate AI-powered devices, which will simplify, accelerate, and personalize processes.

Future developments in artificial intelligence will lead to even more fascinating and promising discoveries that will greatly improve our daily lives. Here are a few of these potential future advancements in AI technology.

Recently, there has been an increase in the use of smartphones and other smart gadgets that can do difficult tasks with ease and use face and voice identification. Examples of how AI has incorporated itself into our lives include healthcare, autonomous vehicles, and drone delivery.

Advantages of AI

1. Based on previous experience, data fed in systems and powerful algorithms, it can devise a mechanism to solve a human problem. It provides us with faster computations of the problem.
2. It reduces human intervention thereby reducing the overall cost of the system.
3. AI systems do not need any type of break, unlike humans. They can work tirelessly day and night without any holidays. This improves the productivity of companies.
4. They can provide customer-specific suggestions based on customer data. These suggestions can help in improving the overall customer experience. This is, in turn, improves sales and profits.
5. They can be used for situations where humans cannot perform the task because of life-threatening situations. Their metal bodies can sustain robust climatic conditions.
6. They can perform repetitive tasks accurately thereby improving companies’ performance.
7. They can also provide future predictions for company financials. These predictions are way better than human predictions.

AI today can be seen in almost all walks of life. It is continuously expanding its reach. This new ever-expanding field of research has created several job opportunities for budding IT professionals. IT professionals have an excellent opportunity to widen their knowledge in this domain to fill up for these openings and take advantage. These job positions also offer a good salary package as we have fewer experts in this domain.

Artificial Intelligence projects

Now let us discuss various projects where we can find AI. There are several of them, I will try covering as many as possible with my knowledge. If I have missed any industry and you want me to cover details for the same, do comment in the blog below.

1. Artificial Intelligence in Medicine

We all know because of COVID 19 virus, life threat is a serious issue faced by several admitted patients. But in this pandemic situation, several countries have started using AI-enabled robots to continuously monitor patient health. This also reduces the risk of doctors getting exposed to the COVID 19 virus. They have also started using these systems to provide online consultation to patients who are at home getting themselves treated.

AI systems also help in diagnosing the ailments of humans. Also, thorough analysis by them helps in predicting treatments for these patients improves a better recovery rate.

They can provide a better diagnosis of life-threatening diseases which improves the treatment process and chances of survival for the patient.

They also provide medical assistance in I.C.U. reducing the burden on doctors. They provide post operations guidance to patients.

However, this field required AI systems that are well trained and accurate as this deals with the health care system. To fulfill this requirement companies are looking for professionals who are trained with relevant knowledge in Artificial Intelligence software.

2. Artificial Intelligence in Ecommerce

AI has shown remarkable footmarks in the field of E-commerce. It has helped the industry to grow by ten folds. Using these systems, companies can provide a better service to customers. By generating personalized search results, it can grab new customers too. It is also able to provide after-sales service with 24X7 customer support using AI systems.

Companies have started using chatbots which are rule-based AI applications providing answers to customer queries. These systems are capable to answer just like humans making work easier and convenient for us. Also, only those queries which cannot be answered by them are then transferred to customer representatives.

3. Artificial Intelligence in Finance

Finance has been the first sector to implement AI technology to meet business needs. It is extensively used to suggest financial products to the customer. This is achieved by analyzing the market condition, customer’s recent purchases, and understanding the risk they can take. Also, a large amount of data is generated every second in this sector. Using AI, these data can be categorically stored for future use.

Banks also use these systems to assess any type of fraud or illegitimate activities. KYC i.e. Know your Customer is an excellent AI initiative used by many companies to keep a track of the ever-changing data of customers.

4. Artificial Intelligence in Law

The traditional repetitive work like checking different agreements and feeding them in their systems was earlier assigned to trainees. But now this work can easily be done by AI systems and in a fraction of seconds with utmost accuracy. Also, lawyers can now use a computer-based discovery system that can go through their emails and other records available on the system while preparing for a case.

Using the AI system, the common man can also now draft some legal documents like tenant agreements using the AI system. They can easily add in their conditions as per their needs.

5. Artificial Intelligence in Education

AI has shown remarkable changes in how students learn today. These days we have e-learning apps that help a child to learn at its own pace. The learning pace is assessed by AI systems. The child is provided with a personalized plan according to the learning ability. Also, personalized quizzes are designed to encourage the child’s progress and evaluate it at all levels.

Also using these systems can increase the reach of education globally. Education can be provided in the local or preferred language according to the country they are implemented in without much hassle.

The list can go on, and on. We will see more AI implementations in existing and new sectors owing to the exhaustive research going in this field.

Artificial Intelligence Technology

1. Natural Language Processing:

This is related to the conversation that happens between machines and humans. The successful analysis helps the AI system to generate results. These systems are capable of converting text or human speech to structured data. For instance, Alexa can answer questions when asked. Also, it learns more as more interactions happen.

2. Natural Language Generation:

This is an inverse process of NLP. These systems are capable of converting the data in systems into text which can be easily understood by the users. For instance, customized reports are generated for a customer based on customer information present in the system. Many times it is considered as a part of NLP.

3. Machine Learning:

This is the heart of all AI systems that are currently being developed.

The systems learn by themselves without the need for any programming. These algorithms enhance their performance with experience.

Big giants like Google is using this technique to revolutionize the existing business. This can be used to find any possible fraud that can happen in a system.

4. Deep Learning:

It is a part of Machine Learning. It used Artificial neural networks to learn without any human intervention.

They work on unstructured data derived from various social media platforms. These data are then analyzed and necessary information is fetched from them.

It can process data in a non-linear way. In this technique, data is connected like nerves in the human body to replicate human behavior.

5. Virtual Assistant:

They assist customers at any point of time in a day. Companies can leverage this feature to enhance sales and goodwill.

They can interact with the customers in customer language. They are proven to be a good personal assistant for customers who are in the urge of personal attention.

6. Speech Recognition:

This is the ability of the program to read the spoken words and convert them to data to generate output.

A popular application of the same is Google voice search which gives search results even if verbally ask for something on Google. However, we need to be extra cautious as spoken words can sometimes be misspelled by these systems due to the dialect of the user.

7. Decision Management:

This system help in making decisions for the companies by analyzing the large data that is already there in the systems. The decision is based on customer needs, time restrictions, and analysis of risks involved.

It is also used in those organizations where a large amount of data needs to be processed to make decisions.

8. Hardware with Integrated Artificial Intelligence:

At present, we have hardware configurations with AI integration.

This can enhance the overall gaming and entertainment experience. We have companies like Intel, IBM, any many more who are working on this.

Artificial Intelligence courses

Major It companies like Accenture, Wipro, Cognizant, and many others are waiting for the right candidate with excellent Artificial Intelligence knowledge.

There is a massive hunt in the market for individuals with the necessary skills.

The average annual salary for an expert in Artificial Intelligence or AI engineers in the USA is $115K. While on an average annual salary in India is 15 lakhs.

It serves as an excellent opportunity to sharpen our ax and learn this technology to get high paying jobs. This also gives us better career prospects with ample growth opportunities.

Top programming Languages used in Artificial Intelligence

1. Python:

To start, you need to master Python. This is the easiest language to implement any AI algorithm. The syntax is easy and simple to learn. Also, any web or desktop-based application can be created using this language. Also, it is a cost-effective language. It supports object and procedure-based approach while implementing a functionality.

2. Java:

Next language that can be used for AI development in Java. Swing and SWT are incorporated in Java which can be used to enhance the graphical experience. It uses object-oriented programming techniques to provide functionality. It is easy to use, debug. It can provide better customer communication.

3. R:

It is the most commonly used language after Python to develop AI. It can be used to study big data to generate statical reports. Using R large data can be analyzed, formulated, and comprehend to prepare customized reports for study.

4. Lisp:

This language was found by the creator of Artificial Intelligence, John McCarthy in 1958. It can effectively process symbolic data. It has an excellent capability of prototyping. Also, it can create new objects dynamically. It also has an automatic garbage collector. During development expressions of functions or files can be evaluated while the program is running.

5. Prolog:

It is always accompanied by Lisp. This technology can be used for pattern matching, automatic backtracking, and tree-based data structuring. It provides a flexible and powerful framework to work.

AI and ML are Closely Intertwined

AI research depends heavily on machine learning, and the two are interwoven. The practice of teaching computers to learn without explicit instruction is known as machine learning (ML). Machine learning algorithms can recognize patterns, predict future events, and offer suggestions.

 An intelligent machine “uses AI to think like a human and perform tasks on its own,” according to Microsoft. It is through machine learning that a computer system gains intelligence.

 With ML and other methods, AI models are constructed. After analyzing data patterns, data scientists build machine learning (ML) models by optimizing them. This procedure is repeated and improved upon until a model’s accuracy is sufficient to accomplish the desired goals.

 ML programs can learn using supervised, semi-supervised, or unsupervised techniques.

Supervised learning: Under supervision, programs identify relationships between previously classified datasets.

 Semi-supervised : learning requires programs to use contextual information to fill in knowledge gaps.

 Unsupervised learning: Without contextual knowledge, programs must establish associations between datasets.The data handling instructions are unclear to them.

Specific models include human-in-the-loop (HITL) functionality, whereby humans collaborate with models to analyze their inputs and outputs and make necessary changes and adjustments. The models then take advantage of the input to keep improving.

Does Artificial Intelligence Restrict Human Use?

In industries where artificial intelligence is being used increasingly, humans could seem to be quickly surpassed. Still, humans are superior to AI when it comes to a wide range of complex tasks. At the moment, AI machines are unable to do tasks requiring creativity.

 For example, an AI writer produced new screenplays for TV comedy episodes called “Friends,” but none were easy to read. While some writers use artificial intelligence (AI) tools to generate ideas for their poetry and fiction, AI cannot complete tasks for writers.

 Moreover, despite tremendous advancements in natural language processing, AI is still not very good at comprehending the words it reads. Even though English is usually predictable enough for AI to engage in reliable conversation in specific contexts, irony, subtlety, or unexpected phrasing could confuse it. Similarly, AI is yet unable to exhibit critical thinking or empathy. Humans are still better at tasks requiring these skills than AI is.

Artificial intelligence has developed quickly and is already an essential part of our everyday lives. But that’s still a long way off—the day when AI takes care of everything and we can relax or pursue our passion for learning will never come. Artificial intelligence still has to progress in domains like language processing, creativity, problem-solving, and subtlety comprehension. Develop these traits to ensure you’ll still be employable if you’re worried that robots will replace you in your current position.

 To bag an excellent opportunity as an AI developer, you need to master these skills from the leaders in training these skills. This is where 3RI Technologies steps in. They provide Artificial Intelligence training from certified experts with industrial experience. Also, they have ties up with companies like Infosys, IBM, Wipro, and many others which helps in placement opportunities soon after completion of the course. They provide an opportunity to work on LIVE projects giving practical experience topmost priority. Tests are conducted regularly to assess the knowledge and understanding of students. 3RI Technologies also provide with ONLINE or CLASSROOM based training according to students’ needs.

With 10+ years of experience in this domain, their genuine efforts mold the future of enrolled students.