With advances in technology and science in the last century, artificial intelligence (AI) has evolved to a whole new level of effectiveness. As a result, AI is being increasingly applied in medicine and healthcare, geospatial technologies, business solutions, and other industries, especially with the advent of cloud computing and high-performance computing capacities.
We are only beginning to understand, what AI can do. Today we will look into the history of its development and the most important areas of impact in our daily lives.
Also Read: How location-aware AI is moving businesses forward
AI is a term applied to the ability of intelligent systems to perform functions usually, typical of humans. It includes applications like self-driving cars, self-piloted planes, personalized search mechanics, cloud servers, and so on. For a long time, AI has been a key player in computer science, but now, it has become a part of most modern technologies.
The first steps in AI development dates back to the 20th century. In 1943, Warren McCulloch and Walter Pitts published their work Logical Calculus of the Ideas Immanent in Nervous Activity, which gave a start to artificial neural network research.
Alan Turing’s Computing Machinery and Intelligence was released in 1950, where the author suggests an empiric test that analyzes a machine’s ability to match human intelligence. Many variations and improved versions of this test are still used to study AI potential.
In order to understand what is meant by the term artificial intelligence, it is also necessary to understand the concept of big data. Basically, big data is an unending amount of data collected from many sources over time. Neural networks use big data as a source of learning material, process it, and show more precise and adequate results. Nowadays, top companies from all over the world like Microsoft, Canon, Samsung, Panasonic use AI in one way or another.
Also Read: AI in test automation: here’s how it works
Funding for research in AI is growing rapidly. This is because of advances in machine learning (ML), computer hardware and software. Some of the most exciting areas of research include applications in manufacturing, finance, and healthcare. ML involves teaching computers to recognize patterns and make reliable and sound decisions. AI researchers are also exploring methods of communication, online shopping, and image processing.
AI can be used to perform a wide range of tasks, in a sense any task that a human can do. For example, cars, planes, trucks and even robots are being automated to such a degree that human involvement is no longer required. So let’s take a look at how AI has entered our lives and is rapidly changing them.
Also Read: How is AI changing the way to get the product prototype?
One of the emerging applications of artificial intelligence techniques is in the area of spatial, or location intelligence (LI). LI-based software extracts information from geospatial data that is later layered over other pieces of information and is referenced with a map. LI lies in the base of geographical information system (GIS) tools that collect and analyze data. GIS tools are widely used to identify the best conditions and locations for starting a business.
Geospatial technologies also relate to geomatics. This study includes land surveying, global-navigation satellite systems, remote sensing, cartography and more. With the help of multimedia software and artificial intelligence, experts collect, systematize, analyze, and automate cartography.
Also Read: 5 Ways AI can augment our human capital
AI technologies have made photo editing less complicated and more accessible to a wide range of professionals. Movavi has integrated neural networks in its photo editing software to help users get tasks done in a more professional and faster way. Movavi’s photo editor is able to restore and colorize old photos: remove spots and cracks with a single mouse click. The developers, however, continue to add more AI-based functionality to the program, mostly related to color correction – denoising, HDR-lighting, and enhancing.
Another successful implementation of AI into image enhancement was performed by the Google Brain team. Their system lets users resize pictures from lower definition to higher.
Currently, many areas in medicine are adopting artificial intelligence techniques for diagnostic, preventive, and treatment purposes. Moreover, the field of medicine is starting to realize the potential applications of this technology, which can potentially offer solutions to many longstanding challenges. With advances in genomics, precision medicine, and other technologies, doctors can now make intelligent choices regarding how their patients will survive, manage, or recover from diseases. As these decisions are based on precise measurements of biological data, researchers are exploring the societal benefits of an entirely new generation of artificially intelligent technologies for public health. A number of high-tech, complex diagnostic technologies are being developed to monitor and track every aspect of human health.
In a cancer treatment, in 2018, an AI algorithm called DLAD (Deep Learning-based Automatic Detection) helped the researchers from Seoul National University Hospital and College of Medicine analyze abnormal cell growth and predict potential loci of cancer development.
Medical researchers are exploring many different avenues as they work towards developing better AI and ML programs. As the healthcare industry grows, the need for data will become increasingly important. Experts believe that there will soon be a day when it won’t be necessary to physically visit a doctor in order to obtain vital information about a person’s health. Instead, all you’ll have to do is send your healthcare information to one of these systems, and it will automatically send you back the results.
Also Read: Geospatial and AI are able to asses disaster damage sooner
ML will make it easier to speed up decision-making in different purchasing situations. This will allow businesses to provide a better customer experience and personalized solutions to problems that customers may encounter. Deep learning will also greatly improve the quality of online shopping by delivering more precise product recommendations.
ML and AI can also benefit industries in other different ways. For example, recruiters can use these tools to speed up the process of finding the right candidates for a job. Companies in manufacturing use AI to improve quality, increase profitability and reduce labor costs.
AI software can also be taught to recognize repeating patterns in malware to backtrack and prevent cyberattacks. Another application is analyzing city traffic and creating a better regulation system or making safer routes for commuting.
Also Read: How are AI-Based Cognitive Computing Systems Suitable For IoT Devices?
Although current technologies are advancing at a rapid pace, many scientists and researchers believe that there is still much more to be done to fully realize the potential of geospatial intelligence, AI-based medicine and other industries. AI is a collection of many different technologies working with each other to enable machines to think, understand, reason and even act. Perhaps that is why the definition of artificial intelligence isn’t so clear: AI is not one thing; it is a constellation of things. It is the bridge between information technology, economics, and psychology.