Where is AI used today?
What is artificial intelligence? In computer terms, it’s the programming and development of machines and systems capable of using and interpreting information in a manner similar to the activities of a human. AI technologies are able to understand, analyze, and learn from data through specially designed algorithms, which are complex mathematical formulas and operations.
There are various fields of artificial intelligence. Machine learning or ML, for example, is the ability of a machine to improve its performance via algorithms that work on previous results or interactions with the system. This allows ML technologies to learn without being explicitly programmed and to have multiple applications.
Other types of artificial intelligence include deep learning, a branch of machine learning that employs sophisticated artificial neural networks inspired by the human nervous system to learn from data that doesn’t need to be structured (unlike machine learning), and natural language processing (NLP), a linguistic tool enabling machines to read and interpret human language.
What can AI be used for? One of the broad goals of artificial intelligence is autonomous machine intelligence, with machine learning being one of the specific scientific methods used in constructing AI.
Through autonomous machine intelligence, computers, mechanisms, and systems powered by AI could take much of the burden of decision-making, repetitive action, and instantaneous response away from humans, leading to greater efficiencies and performance improvements at all levels. This is one of the more optimistic visions of how artificial intelligence will change the future. We’re still a way off from achieving this level, and there are safety, ethical, and practical considerations to deal with before it becomes a workable reality.
What is AI used for in its present form? Currently, the artificial intelligence we have is weak or narrow AI — systems designed to perform specific tasks without human intervention, and with a limited range of autonomy in the way they go about it. But even at this level, there are numerous
AI capabilities that are being exploited, such as the ability to sift through vast amounts of data and make logical connections between past actions and different criteria. You may have found your way to this web page through a search engine, for example. That process was powered by artificial intelligence.
Other examples of artificial intelligence at work include:
These artificial intelligence examples merely scratch the surface of the volume of applications of AI today. The technology is currently deployed in numerous sectors, including transportation, manufacturing, finance, health care, education, and urban planning.
In transportation, for example, systems like Google Maps can analyze the speed of traffic movement at any given time, incorporating on-the-spot reports of traffic incidents like construction work or accidents.
Predictive and preventative maintenance systems in the manufacturing industry are helping product makers to avoid costly downtime, while the incorporation of AI into quality control mechanisms enhances production.
We’ve already observed that machine learning is assisting financial organizations in detecting fraud. AI and ML also play a role in payment processing, mobile check deposit, insurance, and the recommendation of investment options.
Artificial intelligence devices and smart connected systems are enhancing the delivery and administration of health care in numerous ways, such as remote diagnostics and telemedicine.
Automated document reading, grading, and plagiarism checking powered by artificial intelligence are helping to ease the work load of educators, and providing an additional viewpoint to that of human instructors.
