Global Journal of Computer Science and Technology, D: Neural & Artificial Intelligence, Volume 23 Issue 2

many cases, it is already doing so. It would be vastly oversimplified to think of this as a simple transfer of labor from humans to machines. People worry about losing their jobs as AI continues to advance because it has revolutionized industries across all sectors. Nevertheless, AI has increased the number of jobs and possibilities available to individuals across all industries, and every machine needs a person to run it. Although AI has replaced certain occupations, it still creates more jobs for people. 3. Super-Intelligent Computers will become Better than Humans at doing anything we can do: As was said above, there are three categories of AI: weak AI, which can do certain tasks like weather prediction. Super AI, also known as general AI, is an artificial intelligence that can execute any task better than a human. Weak AI is used to carry out specific tasks and enhance performance. On the other hand, research is ongoing, and general AI and super AI still need to be developed. They will be able to do various tasks with intelligence akin to that of humans. However, the creation of such AI applications is a long way off and will take many years or even decades. Furthermore, it is now impossible to anticipate whether such AI will be as effective as humans. 4. AI does not Require Human Intervention: People mistakenly believe AI can function without human involvement. However, the truth is that AI still needs to be sufficiently advanced to make independent decisions. To preprocess the data, create the models, create a training dataset, identify the bias and variance, and remove them, etc., a machine learning engineer or specialist is needed. Every AI model still depends on people, and however, once the model is prepared, it automatically enhances its performance due to the experiences. f) Future Impacts of Artificial Intelligence on Different Sectors 1 . Healthcare : AI will be essential in the healthcare industry for making quicker and more accurate diagnoses of illnesses. AI will speed up and reduce the cost of finding new drugs. Additionally, it will increase patient involvement in their care, making booking appointments and paying bills more accessible and less error-prone. Apart from these advantageous applications, the most significant barrier for AI in healthcare is getting it accepted into routine clinical procedures. AI is frequently used in healthcare to classify, assess electrocardiograms or CT scans, or identify high- risk patients for population health. AI is assisting with the expensive dosage problem. According to one study, AI may help save $16 billion. A study published in 2016 claimed that an AI-derived formula determined the proper dosage of immunosuppressants to administer to transplant recipients. Hanover, a Microsoft AI initiative, assists physicians in selecting cancer treatments from among more than 800 drugs and vaccinations. It aims to memorize all pertinent publications to anticipate which (combinations of) medications will be most beneficial for each patient. Among the targets is myeloid leukemia. An AI that could detect skin cancer as accurately as medical professionals was the subject of another investigation. Another initiative asks each patient questions based on information gathered from doctor /patient contacts to keep track of many high-risk patients. In one transfer learning study, an AI made therapy recommendations and diagnoses of eye disorders comparable to those of an ophthalmologist. An autonomous robot was used to perform surgery in another investigation. The crew watched as the robot stitched a pig's gut back together under the supervision of a surgeon while doing soft-tissue surgery. Artificial neural networks, such as concept processing technology in EMR software, are employed as clinical decision support systems for medical diagnosis. Other healthcare tasks thought suitable for an AI that is in development include: 2. Cyber security: Without a doubt, any organization prioritizes cyber security to guarantee data security. According to various projections, cyber security using AI will evolve in the ways listed below: • Security incidents will be tracked using AI techniques. • Locating the source of cyberattacks using NLP. • RPA bots are used to automate processes and tasks that follow rules. Being a terrific technology, it can also be utilized by attackers as a threat. They can use AI unethically by employing automated attacks that may be impossible to prevent. 3. Transportation: Although researchers are working in this area, the transportation industry has yet to produce a completely autonomous car. In the cockpit, artificial intelligence (AI) and machine learning are used to lessen the workload, manage pilot stress and fatigue, and boost on-time performance. The use of AI in transportation has several obstacles, particularly in locations where there is public transit. Over-reliance on automatic and autonomous technologies is quite dangerous. 4. E-commerce: Soon, artificial intelligence will be crucial to the e-commerce industry. It will favorably affect every facet of the e-commerce industry, from user experience to product marketing and delivery. Future developments in e-commerce include the usage of chatbots, automated warehousing and inventory systems, and shopper customization. © 2023 Global Journals Global Journal of Computer Science and Technology Volume XXIII Issue II Version I 22 ( ) Year 2023 D Journey of Artificial Intelligence Frontier: A Comprehensive Overview