Artificial intelligence also called machine intelligence is intelligence demonstrated by machines in contrast to the natural intelligence displayed by humans and other animals. In computer science AI research is defined as the study of intelligent agents any device that perceives its environment and takes actions that maximize its chance of successfully achieving its goals. Colloquially, the term "artificial intelligence" is applied when a machine mimics "cognitive" functions that humans associate with other human mind such as "learning" and "problem solving".
Today AI can be a source of information and for better operation with the actual functionality of an overall system for better services.
AI can be used in most of the application from understanding human speech competing at the highest level, in strategic game systems, autonomous cars, intelligent routing in content delivery network, military simulation, interpreting complex data, including images and videos.
Artificial intelligence was founded as a concept in 1956, and refers to computer systems that think and act like humans, and think and act rationally. AI is rapidly transforming our world with innovations like autonomous vehicles driving our city streets, personal digital assistants in our homes and pockets.
In recent years, the field of AI has experienced a remarkable surge in capabilities.
AI-enabled systems are beginning to revolutionize fields such as commerce, healthcare, transportation and cyber security. It has the potential to impact nearly all aspects of our society including our economy, yet its development and use come with serious technical and ethical challenges and risks. AI must be developed in a trustworthy manner to ensure reliability and safety.
1. Healthcare : Major medical and pharmaceutical companies are already harnessing the power of artificial intelligence with great results. Johnson and Johnson's Sedasys system has received FDA approval to automatically deliver anesthesia for standard procedures like colonoscopies. A doctor oversees multiple machines at once, making the cost much less than a dedicated human anesthesiologist. There are also numerous robots in various stages of testing and approval for diagnosing disease. In some cases, such as with IBM's Watson, these machines have a higher accuracy rate for diagnoses than human doctors, as mentioned earlier. Artificial intelligence is breaking into the healthcare industry by assisting doctors. We have learnt Microsoft has developed AI to help doctors find the right treatments for cancer. There is a great amount of research and drugs developed relating to cancer. In detail, there are more than 800 medicines and vaccines to treat cancer. This negatively affects the doctors, because there are too many options to choose from, making it more difficult to choose the right drugs for the patients. Microsoft is working on a project to develop a machine called "Hanover". Its goal is to memorize all the papers necessary to cancer and help predict which combinations of drugs will be most effective for each patient. One project that is being worked on at the moment is fighting myeloid leukemia fatal cancer where the treatment has not improved in decades. Another study was reported to have found that artificial intelligence was as good as trained doctors in identifying skin cancers. Another study is using artificial intelligence to try and monitor multiple high-risk patients, and this is done by asking each patient numerous questions based on data acquired from live doctor to patient interactions.
2. Manufacturing : Manufacturing was one of the first industries to harness artificial intelligence by using robots to assemble products and package them for shipment. New robotic developments will take things to the next level by being able to assemble more complicated items, such as electronics, cars, and even some homes. Although many artificial intelligence-driven production lines will still need human support and supervision, we are headed towards a largely robotic manufacturing industry.
3. Transportation : One of the most populous industries is also one of the most at risk to be replaced by artificial intelligence. The technology behind self-driving cars can be applied to public transportation, delivery drivers, and more, decreasing the risk of accidents, alleviating traffic congestion, and lowering energy costs. Self-driving cars are in testing and early production from companies like Google, Tesla, and Uber; personal self-driving cars are expected to be on the market by 2018, with commercial applications not far behind. And while transportation workers may need to look elsewhere for work, Morgan Stanley predicts that driverless cars will save the U.S. $1.3 trillion a year by 2035 to 2050, for a global annual saving of $5.6 trillion.
4. Customer Service : Thanks to developments in personalization and human interaction, artificial intelligence is more efficient than ever in customer service. There are automated customer services which helps companies automate basic text question and answer chats with customers and even harnesses natural language processing and machine learning to create reactionary, friendly robots that mimic human speech patterns to provide service that is quick and easy for consumers and much less expensive for companies.
5. Finance : With a rapidly increasing amount of financial data, many financial services companies are turning to artificial intelligence to keep up with demand. Robots can use predictive systems and market data to forecast stock trends and manage finances, often much quicker than their human counterparts. Even financial advice is becoming automated, with a growing trend towards “robo-advisers" that automatically dispense advice and suggestions to financial clients, especially those with relatively simple financial problems. Robots can use a variety of algorithms to provide recommendations that best meet clients' spending, saving, and investment habits.