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Artificial Intelligence : Applications and Example

Artificial Intelligence : Applications and Example  

 Artificial Intelligence : Applications and Example
 Artificial Intelligence : Applications and Example

Today, there are many applications of Artificial Intelligence in consumer and business spaces, from Apple's Siri to Google's DeepMind. Today, Artificial Intelligence is being used in every field as it can help solve very difficult issues in various industries such as entertainment, education, health, commerce, transportation and utilities. 
Artificial Intelligence applications can be divided into five categories:

Reasoning: Reasoning is the ability to solve the problems through logical deduction. Such as financial asset management, legal valuation, financial application processing, autonomous weapons systems, sports.

Knowledge: Knowledge is the ability to present knowledge about the world. Such as financial market trading, purchase forecasting, fraud prevention, drug manufacturing, medical diagnosis, media recommendation.

Planning: Planning is the ability to set and achieve goals. Such as inventory management, demand forecasting, predictive maintenance, physical and digital network optimization, navigation, scheduling, logistics.

Communication: Communication is the ability to understand spoken and written language.  Such as real-time translation of spoken and written languages, real-time transcription, intelligent assistants, voice control.

Perception: Perception is the ability to infer things about the world through sound, image.  Such as medical diagnosis, autonomous vehicles, surveillance.

Artificial Intelligence use in Healthcare  

Artificial Intelligence use in Healthcare
Artificial Intelligence use in Healthcare

Artificial Intelligence (AI) and Machine Learning (ML) techniques have been particularly useful in the healthcare industry because it generates large amounts of data to train and enable algorithms faster than human analysts.

Medicine developed an algorithm that detects 8 variables in patients with diabetes to determine whether hospitalization is required.

An app called Billiscreen uses Smartphone cameras, Machine Learning (ML) tools, and computer vision algorithms to detect increased levels of bilirubin in the sclera (white part) of a person's eye, which can be used to help people with pancreatic cancer. Used to screen for. There is no symptom of this cancer, so it has one of the worst symptoms of all cancers.

NuMedii, a biopharma company, has developed a platform called Artificial Intelligence for Drug Discovery (AIDD), which uses big data and Artificial Intelligence (AI) to detect links between diseases and drugs at the system level.

GNS Healthcare uses the Machine Learning (ML) algorithm to match patients with the most effective treatment for them.

Artificial Intelligence use in Gaming  

Artificial Intelligence use in Gaming
Artificial Intelligence use in Gaming 

Artificial Intelligence (AI) plays an important role in strategic games such as chess, poker, tic-tac-toe, etc., where the machine can think of a large number of possible positions.

Artificial Intelligence use in Natural Language Processing

It is possible to interact with a computer that understands the natural language spoken by humans.

Enterprise search 

Most research in NLP (Neuro Linguistic Programming) is based on what a customer is searching for. Under this, a collection of questions of the customers is asked which they will ask while buying something from a shopkeeper. The machine is then prepared to answer accordingly.

Sorting important files sequentially

NLP (Neuro Linguistic Programming) has an important role to interpret a record smoothly and analyze it correctly. In many institutions, a lot of data is kept in the form of text files, such as the records of patients and their doctors of a hospital in a listed manner. With the help of NLP, any data can be searched according to need.

Sentiment Analysis

In this, data researchers analyze the comments made on social media and conclude how a business's brand is performing.

The Algorithm of Google and other search engines works on the basis of NLP (Neuro Linguistic Programming). On its algorithm web page, the existing data is read, analyzed its meaning and then translated into other languages.

  •  Expert Systems 

 Expert Systems
 Expert Systems 

There are some applications that integrate machines, software, and specialized information to provide logic and advice. They provide explanations and advice to users.

Expert system is one of the major research areas of Artificial Intelligence. It was first introduced by the Computer Science Department of Stanford University.

Expert systems are computer applications that are developed to solve complex problems of a particular field equivalent to Human intelligence and expertise.

  • Vision Systems 

Vision Systems
Vision Systems 

These systems understand, interpret and interpret visual input on a computer. For example,

A spy airplane takes photographs, which are used to locate spatial information or maps of areas.

Doctors use Artificial Intelligence the clinical expert system to diagnose the patient.

Police use computer software that can recognize the offender's face with a stored image created by a forensic artist.

  • Speech Recognition 

Speech Recognition
Speech Recognition

Some intelligent systems are able to hear and understand language in terms of sentences and their meanings while a human speaks to it. It can handle various accents, dirty words, noise in background, change in noise of human due to cold etc.

  • Handwriting Recognition

Handwriting recognition software reads text written on paper on the screen by a pen or by a stylus. It can recognize letter size and convert it into editable text.

  • Intelligent Robots 

Robots are capable of performing tasks given by humans. They have sensors to detect physical data such as light, heat, temperature, speed, sound, percussion and pressure from the real world.  They have efficient processors, multiple sensors, and huge memory to demonstrate intelligence.  In addition, they are able to learn from their mistakes and they can adapt to new environments.

  • Self-Driving Cars

Have you ever heard of cars that drive without a driver, guided only by Artificial Intelligence technologies and automated learningTesla was one of the first automotive brands to launch a self-driving vehicle, and Audi, Cadillac and Volvo are already developing their own models.

  •  A Superhuman Doctor
Superhuman Doctor
Superhuman Doctor

Artificial Intelligence is not only able to save some areas of the ecosystem, but it can also save human life. Through Artificial Intelligence and in-depth education, doctors can diagnose cancer immediately, with X-rays to diagnose potential signs of lung cancer. Chinese startup Infusion Deep Learning and Image Recognition Technology (like Facebook Facial Recognition  Uses) is using.

  •  Life on other planets?  (Life On Other Planets?)

NASA is already using Artificial Intelligence to search for life on other planets, which will be important for "Mars 2020", the mission where the red planet will be more thoroughly explored. The devices they send, known as rovers, will be able to explore the terrain of Mars in more detail and reveal the properties of planetary elements to determine the probability of life.

  •  A Non-Human Language

Facebook has recently started using machine learning to explain its chatbots and teach interaction (chatbot to chatbot).

  •  Data security  

 Data security
 Data security  

Cyber ​​attacks are increasing as we move into the digital world. There are also concerns about Artificial Intelligence programs themselves that are against the system.

Automatic exploit generation (AEG) is a bot that can determine whether a software bug, which may cause security problems, is exploitable. If a vulnerability is found, the bot automatically protects it. The AEG system helps develop automated signature generation algorithms that can predict the probability of a cyber attack.

Pattern Ex and MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed an Artificial Intelligence platform named Artificial Intelligence 2 that predicts better cyber attacks than existing systems.  The platform uses active contextual modeling, a continuous feedback loop between a human analyzer and an Artificial Intelligence system, to provide an attack detection rate that is superior to the ML-solution by a factor of only 10.

Deep Instinct, an institutional intelligence company, says malware code varies between 2% -10% in every iteration and that its AI model is capable of handling variations and accurately predict which files are malware  .

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