What is artificial intelligence?

Artificial intelligence is an innovation to ease the human life. Artificial intelligence (AI) is an area of computer science that emphasizes the creation of intelligent machines that work and react like humans.



AI systems are typically built for at least some of the following behaviors associated with human intelligence: planning, learning, reasoning, problem solving, knowledge representation, perception, motion, and manipulation and, to a lesser extent, social intelligence and creativity.



Artificial Intelligence

Applications of AI technology in day to day life-

1. Commercial airline flights

2. Product recommendations at online shopping

3. Image recognition

4. Speech recognition

5. Google predictive searches

6. Mobile Banking

7. Locate traffic and discover the best route in Maps and directions

8. sorting of emails used by Gmail



Future of AI in healthcare-

AI in Healthcare

Healthcare industry is developing by technology due to the use of medical devices, equipment and processes that spread in the industry. Healthcare Imaging/scanning such as MRI is a present use of AI. In future, AI may not just forecast potential issues and illnesses. It can likewise recommend what stages a patient should take and how therapeutic staff ought to respond for this.

In the future, use of AI in healthcare could offer cultivated medical decision support. This can be done by automatically adding patient data and finding the best treatment plan. Meanwhile, natural language processing tools could help doctors. These tools can easily create medical files of patient by verbally discussing an examination with a patient. After the monitoring is complete, an AI system can send a bill to the patient’s smartphone immediately. AI- powered devices could help to track the movements of elder persons and habits around their house. This helps to evaluate their cognitive performance throughout the time and to alert medical experts if something seems to be happening wrong.



Future of AI in Transportation-

AI in Transportation

Transportation problems occur when system behavior is too difficult to build and behave according to an anticipated pattern, influenced by things like traffic, human mistakes or accidents. In such cases, AI helps unpredictability. AI predicts decisions appropriately by observing data. Self-driven cars and trucks have been at the peak of interest in the last several years. In the business segment, Uber and Elon Musk have delivered self-driving trucks. This helps to decrease the number of accidents on highways and increase productivity. At night, truck driver causes many accidents, and this is the major problem. Use of smart unmanned vehicles is the best solution fro this problem.

The street cargo transport can use precise expectation techniques to figure their volume utilizing AI strategies, which simplifies transportation company planning. Additionally, several decision- making tools for transport can be designed and run by AI. This will affect investments made by companies in the future in a profitable way. When traveling by public transport in urban areas, Safety of citizens is enriched by tracking crime data in real time. This will help the police to increase their performance by patrolling and keeping their citizens safe. Expenses of work in the transportation division will diminish with expanded utilization of AI,and it results in high benefit. The issue of long driving hours and stop for a break will never again be a worry with completely automation by AI.



Future of AI in Agriculture-

AI in Agriculture

Agricultural sector contains more labor work. It causes less productivity due to human errors and less benefit due to low efficiency and more time required. Agricultural sector should use AI. Loss occurring due to wrong decision making by the farmers will be reduced. Decision making AI tools will accurately predicts which type of crop should farmers use for farming. This AI tool’s prediction carried out according to the type of soil and natural climate in that region.

Driverless tractors will help to plough the crop in farms in more efficient way which reduces time and efforts. Automated irrigation systems will use real – time machine learning to constantly maintain desired soil conditions to increase average yields. Not only does this require significantly less labor and but decreases the production costs. Traditional crop health monitoring system is time consuming and many times causes loss due to human errors. With the help of AI, companies are developing automated detection and analysis technologies – such as hyperspectral imaging and 3D laser scanning – will increase the accuracy and amount of data collected. With the ability for microscopic data collection, farmers will be able to produce diagnostics specific to individual plots or even single plants.



Future of AI in Education-

AI in Education

In future each child may have a personal robot throughout the school system so as to act as a personal assistant. The robot will carry all the information taught to the child and help them as a personal tutor when required. Most of the teachers have a workload beyond the teaching to a student such as keeping track of progress of each student, grading, paper checking could be done by robots. This will surely reduces teachers time and it can be utilized in making personal interaction to students and help them personally in their studies.

Teachers can use AI technology to learn foreign languages and complex programming techniques at any time. Because AI operates on a computer system, it would be possible to connect different classes around the globe, enhancing cooperation among schools and nations in general. If each student gets to keep their own personal AI- powered robot, they’ll always have a teacher to simplify tasks for them.



Future of AI in Software Industry-

AI in Software Industry

With AI, the machine does the testing instead. It comes up with many more different types of tests. It automatically runs many more tests than a human could supervise. And it also handles the changes in the code and UI that previously had to be made by QA professionals. Some examples of this are adding fields or changing the inputs and prepare for outputs.

AI is going to replace testers as we know them today. Instead of being a QA team, software testers will be a test automation team and humans will supervise the outcome of the test, adding the critical human element. After all, there are three types of requirements for testing (implicit, explicit, and latent). But only explicit testing can be done by AI. In record keeping system, AI in software industry,robots will keep the records of employees with more efficiency and accuracy. At service centers, AI integrated robots will give answers and desired solutions instead of humans, this will give accuracy and saves time, money and reduces workload.



Final Words-

Some industry experts believe that the term artificial intelligence is too closely linked to modern culture, causing the general public to have fear about artificial intelligence and unbelievable expectations about how it will change the workplace and life in general. Researchers and marketers hope the label augmented intelligence, but people should understand that AI will simply improve products and services, not replace the humans that use them.



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