HOW ARTIFICIAL INTELLIGENCE IS TRANSFORMING THE WORLD

HOW ARTIFICIAL INTELLIGENCE IS TRANSFORMING THE WORLD

Excerpt: Artificial intelligence (AI) refers to a machine’s capacity for learning, logic, reasoning, perception, and creativity. Once believed to be uniquely human, these skills are today reproduced by technology and applied in every sector. 

Table of contents: 

  • Introduction
  • The objective of artificial intelligence
  • How has artificial intelligence revolutionized the world?
  • Artificial intelligence in education
  • Artificial intelligence in healthcare
  • Artificial intelligence in transportation
  • Artificial intelligence in livelihood: smart homes
  • Conclusion

Introduction

AI is a versatile tool that enhances how we combine information, evaluate data, and use the ensuing insights to make decisions. AI uses computer science programming to analyze data and its surrounding; it solves the problem, helps in self-learning, or adapt to changing technologies.

Objective of artificial intelligence

Making it possible for computers to perform mental functions like judgment, problem-solving, perception, and understanding human communication in any language, as well as interlanguage translation, is the main objective of artificial intelligence (AI), also known as the stimulation of cognitive behaviour. Our daily lives increasingly incorporate AI, which is no longer just a technology. Every day, we witness entirely new developments in every sphere of life, from politics to economics. We can now easily reach numerous previously inaccessible areas because of technology, artificial intelligence (AI), and the Internet of Things (IoT).

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How has artificial intelligence revolutionized the world?

  1. The use of AI is widespread today and is not just an idea for the future. Technology plays a significant role in our daily lives; from the online research we undertake to the things delivered to our door with just one click. 
  2. AI has revolutionized technology in all fields and offered answers to many societal problems. AI is the simulation of human intellectual processes, particularly in computer systems. These processes involve learning, inference, and self-correction.
  3. In addition to finance, national security, healthcare, criminal justice, transportation, and smart cities, AI applications include speech recognition, machine vision, and expert systems.
  4. While some people think AI is harmful to some businesses, professions, and labour, others disagree. 
  5. The quantity of skilled labour that AI can automatically do impacts the number of human resources required to complete the same professional work.
  6. AI can automate the fulfilment of single activities, one at a time; however, many companies require many jobs.

Artificial intelligence in education

1. Chatbots

One type of AI educational software that students may soon use is chatbots. These are being introduced into classrooms more frequently, where students utilize iPads or computers to talk with chatbots that are created to assist them in understanding subjects like math or reading comprehension. Chatbot tutors can teach pupils more than new ideas; they might even be helpful when the analysis is required. The future of all technical roots is chatbots. It shortens the teachers’ workload cycle. While parents are present, chatbots in the classroom might also take the place of email communication between teachers and parents.

2. Learning Management System (LMS)

Keeping up with educational breakthroughs is one of the most crucial things to do in this technological age. The adoption of learning management systems is one of these breakthroughs. A learning management system offers a centralized, user-friendly solution for managing all online activities at a school.

3. Virtual Reality or Augmented Reality

Virtual reality is a new educational advancement utilized for everything from teaching history to assisting kids with their math skills. Virtual reality is a three-dimensional environment that people can explore and interact with. VR instructors are changing what it means to be a student by mixing experiential learning into their lessons. VR is a fantastic tool for encouraging a sense of community among students. While using the same virtual reality program in various classrooms, they can safely communicate even though they are still separated by distance. Students can explore things in virtual reality that they might never get the chance to see or learn about in the real world.

4. Robotics

Over the past few years, artificial intelligence and robotics have become more prevalent in education. Now that it is being used in education, it may increase student engagement and safety for teachers and kids. The current state of AI development makes robotics in education unavoidable. Robots may be a fantastic learning tool for students and teachers, providing an engaging method to delve deeply into a subject. This means that robots can give teachers a form to spend more one-on-one time with children who need extra assistance.

For students, it’s an opportunity to learn something new without feeling under pressure from being the only student in the class or from having their peers criticize them when they make mistakes. Robots can provide a place for people to feel comfortable if they don’t immediately understand something. For students, robotics is essential because it can show them that engineering is more than just problem-solving on paper or sketching on a mat. They can observe the results of their work and the outcome.

Artificial intelligence in healthcare

a) For the past 50 years, disease diagnosis and treatment have been at the centre of artificial intelligence (AI) in healthcare. Even while early rule-based systems could effectively diagnose and treat disease, the clinical practice still needed to embrace them fully. They weren’t noticeably more accurate at diagnosing than humans, and the interaction with physician workflows and health record systems needed to be more significant.

b) In the healthcare sector, artificial intelligence has several administrative applications. Compared to patient care, the application of artificial intelligence in hospitals mostly stays the same. However, using artificial intelligence in hospital administration can result in significant cost savings. Claims processing, clinical documentation, revenue cycle management, and medical records administration are just a few AI applications in healthcare.

c) Expert systems often involve the development of a comprehensive set of rules in a particular knowledge area by engineers and human experts. They are easy to comprehend and apply and effective up to a level. However, if there are too many rules—typically over a few thousand—the authorities may begin to conflict and break down. In addition, if the knowledge area experiences a significant shift, changing the rules may be challenging and time-consuming. Machine learning is slowly replacing systems based on rules in the medical industry by using methods that rely on the interpretation of data using specific medical algorithms.

d) For more than 50 years, healthcare and artificial intelligence have worked to understand human language. The majority of NLP systems combine translation with speech recognition or text analysis. Applications for natural language processing (NLP) that can comprehend and categorize clinical documentation are frequently used in the healthcare industry. Clinical notes that are not structured can be analysed using NLP systems, revealing the most comprehensive knowledge which can be used to improve processes, better understand the quality of care, and deliver better outcome for clients.

e) Precision medicine is the most widely used use of conventional machine learning in the field of artificial intelligence in healthcare. It’s a huge improvement for healthcare providers to know the treatment strategies that will be the most effective for patients based on their specific characteristics and treatment plan. Applications for machine learning and precision medicine, which account for most applications of AI in healthcare, need data for training with known results. We call this guided learning.

Artificial intelligence in transportation

1. Self-driving vehicles

Autonomous vehicles are among the most innovative uses of AI technology. The idea of autonomous automobiles, which was formerly just a sci-fi dream, has now been made a reality in the actual world. Although there was some scepticism about this technology when it was first developed, autonomous cars are now a reality in the transportation industry.

2. Delay Predictions

By utilizing data lake technology with computer vision, the industry can provide excellent customer service by reducing wait times and improving the quality of the customer’s journey. It is crucial to notify passengers in advance of any flight information updates to prevent excessive wait times. Various factors, including inclement weather and technical difficulties, can cause flight delays. Continuous aircraft monitoring is possible with computer vision systems, preventing unscheduled downtime. In addition, AI and machine learning components will process real-time aeroplane data, historical records, and meteorological data. The on-the-spot calculation will assist in the discovery of hidden patterns, which can help the aviation sector get insightful knowledge about additional potential factors that could result in flight delays.

3. Traffic Management

The extensive amount of traffic information is gathered by sensors and cameras embedded in every part of the roads. The data is then uploaded to the cloud, where it will be analyzed, and a system powered by AI will use big data analytics to reveal traffic patterns. Data processing can yield helpful insights like traffic predictions. Essential information like traffic forecasts, accidents, or roadblocks might be available to commuters. Additionally, users can be informed of the quickest path to their destination, enabling them to travel without being inconvenienced by traffic. AI can reduce wait times, increase road safety, and eliminate unwanted traffic.

4. Drone Taxis

A drone taxi is one of the industry’s most intriguing and cutting-edge AI applications. Pilotless helicopters provide a novel option to cut carbon emissions, relieve traffic congestion, and avoid the need for costly infrastructure construction projects. Additionally, drone taxis will reduce commuting times by getting customers to their destinations considerably faster.

Artificial intelligence in livelihood: smart homes

Appliances, lighting, home safety & security, entertainment, and other areas have innovative home technology applications. Several significant industries have started combining artificial intelligence with smart devices to enable connectivity.

1. At-Home gadgets

The voice control functionality of AI-enabled devices like Alexa, Siri, and Google Assistant is used to operate smart devices in addition to its use in home security systems. Advanced home security systems support voice commands for operation. Researchers are working to advance voice recognition technology and provide new features that will benefit voice control devices. Due to recent improvements in home automation systems, owners may access hands-free channel surfing and manage Bluetooth speakers. The voice assistant’s rise also raises security issues because some researchers have been able to break into intelligent devices using inaudible.

2. Home Security

The growing need to enhance home security has prompted the adoption of AI-powered gadgets. These gadgets have a range of capabilities, such as threat analysis, facial recognition, and integration with smart homes, which protect homeowners from security risks.

Due to their ability to identify patterns and faces, AI-powered robots can easily recognize objects or faces. Face recognition can quickly verify and compare existing data with facial landmarks like cheekbones, eyes, chin, etc. Additionally, these devices can notify the homeowner’s smartphone when guests are at the front door.

3. Smoke Alarms

There are presently sophisticated smoke alarms on the market that use artificial intelligence to think and alert the user. Smoke alarms have some intelligent capabilities, such as alerting users when their phones’ batteries are running low, sending out messages in the event of smoke or carbon monoxide leakage, and locating the scene of a fire or smoke outbreak. These alarms also have a silent mode option. When there is the first trace of smoke, smoke detectors employ their voice alert feature to let others know, which improves emergency response times.

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Conclusion

Artificial intelligence will help the entire world change various industries in the coming years. In support of national security, fitness, care, transportation, and others, significant dispositions already exist that have changed decision-making, commercial prototypes, risk extenuation, and organizational performance. There are substantial social and economic benefits coming from this increase. The time to invest in education and training to prepare for the future is now since AI will penetrate every part of our lives.

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