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Where is artificial intelligence applied?

Artificial intelligence (AI) is the simulation of human intelligence in computer systems and devices enabling them to mimic human actions. It enables different machines to adopt human traits such as problem-solving and learning. Machine learning is a subset of artificial intelligence that enables computer systems and programs to learn and adapt to new information without human assistance. It exploits deep learning techniques to enhance automatic learning through the collection and analysis of huge amounts of complex unstructured data such as videos, images, and texts.

Cognitive processes of artificial intelligence

The programming of artificial intelligence programs and systems is guided by three cognitive processes that are: learning, reasoning, and self-correction. 

Learning processes. This aspect focuses on collecting data and creating complex algorithms to convert the data into actionable information. These algorithms or rules provide computing devices and computer systems with specific instructions on how to complete a particular task. 

Reasoning processes. This aspect focuses on selecting the right algorithm to generate the desired results.

Self-correction processes. This aspect focuses on continually fine-tuning the algorithms to enhance their accuracy and to ensure they provide the desired results.

Artificial intelligence involves the use of complex data algorithms and the extensive use of various programming languages to generate accurate results. Although the programming languages have their pros and cons, various languages are the most efficient and effective in AI programming. They include:

Applications of artificial intelligence in today’s world

The increasing speeds of computer processing, the proliferation of connected devices, and the robust Internet of Things (IoT) connectivity have enhanced data collection and analysis and opened room for the development of artificially intelligent systems, devices, and programs. It has promoted the performance of objective functions using machine learning or deep learning and data-trained models. Today, artificial intelligence has transformed how various tasks are performed in different industries. Some of the application areas of AI include:

Transportation and Travel

AI has promoted the development of autonomous cars which are extensively used in the manufacturing industries, advanced farms, and the transport sector. This technology is extensively applied by manufacturers of transport systems, devices, and autonomous cars such as Tesla. Besides, it used chatbots that can be used to assist travelers to locate different flights, areas, and get the necessary assistance that they need. This enhances the traveler's experience and makes them get to their destinations as anticipated. 


In manufacturing industries, AI-powered robots and devices work alongside humans to perform different tasks such as stacking and assembling. They are fitted with sensors and predictive analysis devices to help ensure that tasks and equipment run smoothly.


Artificial intelligence has a significant impact on the healthcare sector. It has made the diagnosis of diseases more accurate, faster, and better, sped up drug discovery and made it more streamlined, and created a more personalized patient experience through the use of big data analysis and artificially intelligent virtual nursing assistants to monitor patients. AI devices and virtual assistants help doctors to monitor a patient’s condition remotely and notify them when a patient needs medical attention. Besides, they enhance scanning processes and critical surgeries. 


These days, artificial intelligence is used to speed up the digitization of textbooks and other learning materials, to create facial analysis to measure a student’s emotions, and virtual tutors to assist human instructors. The introduction of artificial intelligence in writing has promoted the development of complex software and systems to correct mistakes and find replacements in a human-readable format. 


In media and journalism, artificial intelligence is used to create sophisticated computer software and systems to generate automated insights on media reports and to analyze complex financial reports. Cyborg technology and Bloomberg utilizes AI to translate huge financial reports.

Customer Service

 AI assistants are being applied in customer service to make appointments, human-like calls, to send messages, and to offer virtual assistance. 

Social media

AI-designed systems analyze huge amounts of data on social media platforms such as Twitter, Facebook, YouTube, and Snapchat, identify the latest trends, requirements, hashtags, and organize the data differently according to the user’s data usage. 


Cyber-attacks have been increasing rapidly over the years. Machine learning and artificial intelligence are being used extensively to identify and predict potential cybersecurity threats. 


The main applications of machine learning and AI are to enhance interoperability and integration, to create sensors, communication systems, and C2. Besides, it’s applied computer systems and devices for command and control, information operations, cyber operations, threat detection and analysis, data collection and analysis, coordination of sensors and effectors. Also, it’s applied in network combat vehicles and target acquisition equipment.


In agriculture, artificial intelligence is applied in predictive analysis, crop monitoring, soil, and crop monitoring, and sensors and robots for monitoring, planting, crop management, and harvesting. 


The finance industry utilizes artificial intelligence and machine learning in financial processes in software and devices for algorithm and financial trading, adaptive intelligence, chatbots, and implementing automation. 

Furthermore, artificial intelligence is applied extensively in other fields such as gaming, robotics, entertainment, and E-commerce. 

What do AI careers require?

Artificial intelligence is a course with high demand in a wide range of industries. Designing AI systems and devices is a sophisticated process of reverse-engineering human capabilities and traits. The computational prowess is used to train computer systems to function as human beings. Careers in artificial intelligence require a good command of programming languages such as Java and C++ and a solid understanding of:

  • Machine learning
  • Deep learning
  • Data algorithms
  • Computer vision
  • Cognitive computing
  • Neural networks
  • Natural language processing
  • Problem-solving skills


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