APPLICATIONS OF ARTIFICIAL INTELLIGENCE

Applications of Artificial Intelligence

Today, artificial intelligence has many applications 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 in solving very difficult issues in various industries such as entertainment, education, health, commerce, transportation, and utilities. AI applications can be divided into five categories:


APPLICATIONS OF ARTIFICIAL INTELLIGENCE


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


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


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


Communication: 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: The ability to infer things about the world through sound, image. Such as medical diagnostics, autonomous vehicles, surveillance


Healthcare


AI and 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, 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. Is 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 AI to detect links between diseases and drugs at the system level.
  • GNS Healthcare uses the ML algorithm to match patients with the most effective treatment for them.

Gaming


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.


Natural Language Processing


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


Expert Systems


Some applications integrate machines, software, and specialized information to provide logic and advice. They provide explanations and advice to users.


Vision Systems


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


  • A spy airplane takes photographs, used to locate spatial information or maps of areas.
  • Doctors use 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


Some intelligent systems can 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 the background, change in the noise of humans 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 can 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 learning? Tesla was one of the first automotive brands to launch a self-driving vehicle, and Audi, Cadi, lilac, and Volvo are already developing their own models.


A Superhuman Doctor


AI is not only able to save some areas of the ecosystem, but it can also save human life. Through AI and intensive education, doctors can diagnose cancer immediately, with X-rays to diagnose potential signs of lung cancer. Uses) is using.


Life on other planets? 


NASA is already using AI 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 greater detail and reveal the properties of the planet's 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


Cyber ​​attacks are increasing as we move into the digital world. There are also concerns about AI 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 to develop automatic signature generation algorithms that can estimate the probability of a cyber attack.


PatternEx and MIT's Computer Science and Artificial Intelligence Laboratory (CSAIL) have developed an AI platform named AI2 that predicts better cyber attacks than existing systems. The platform uses active contextual modeling, a continuous feedback loop between a human analyzer and an AI 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 predicting which files are malware.

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