Artificial intelligence (AI) refers to the machine’s ability to understand, learn, and make decisions in the same way as the human brain does. Let’s start with a definition of intelligence before moving on to AI. Intelligence is a complex idea to define in a single statement. It’s diverse, confusing, and situational.
In general, we refer to intelligence as the cognitive component of someone’s ability to accomplish tasks in the real world. Humans, animals, and machines all have different types and degrees of intelligence. It is the ability to respond to the situation in the proper manner. Learning the situation and the ability to solve problems is intelligence. The point of intelligence in humans arises from the Central Nervous System, which comprises the brain and spinal cord.
In the past few years, artificial intelligence has risen to a different height with the rise of neural networks and the availability of vast amounts of data. Developers have also used deep learning platforms to further the technology.
AI has been able to solve problems in various fields such as agriculture, health, marketing, finance, transportation, defense, entertainment, scam prevention, etc. The few applications of artificial intelligence that have made a significant contribution to human lives are discussed in power automate vs uipath.
The use of artificial intelligence in the medical field has grown extensively. From diagnosis to treatment calculations, AI has started to play a vital role in this field.
AI has been specifically used for diagnosis or the detection of diseases like cancers, arteriosclerosis (thickening, hardening, and loss of elasticity of the walls of arteries), or other unusual changes, measurements of size and dimension of the organ, including the blood flow) by observing the extracting the information from medical images and reports like X-rays, CT scans, etc.
Preventive Medicine is something that has been the most effective application of AI because this promotes health and well-being. It warns us about the complications that can arise and the necessary things to follow to avoid death and disability.
Various experiments were done where AI-generated blood flow results and the health symptoms of various patients were fed to the AI algorithms. It was observed that the patients with reduced blood flows were more likely to have severe health outcomes, including stroke, heart attacks, heart failure, or even death.
With this, AI technology has been able to predict which patients might suffer or even die better than the doctors who use traditional and theoretical approaches. Using AI blindly to judge sounds risky; however, AI has certainly supported preventing health issues through preventive Medicine.
AVs are one of the most popular applications of AI. Tesla and various self-driving car companies have extended Autonomous vehicles’ popularity to the next level. The development of autonomous vehicles is fueled primarily through computer vision technology.
From normal driving vehicles to defense systems, they are growing rapidly. Primarily, AVs use computer vision for navigation and help with detecting obstacles around them. With the availability of a huge set of image and video datasets, the use of deep learning methods for building autonomous vehicles has become easier.
A technique referred to as SLAM (Simultaneous Localization and Mapping) and used to produce a map of its environment and localize objects. The features of autonomous vehicles includes: Wide-angle surround view, collision warning, park assistance, traffic signs recognition, wireless communication, lane departure warning, emergency braking, accident predictions, cross-traffic alert, blind-spot detection, etc. These types of AVs have applications in automatic piloting, driving, space exploration, surveillance, and more.
Facial Recognition Features
Facial recognition is a technique in which a computer or a machine identifies faces in a video or a static image. This application of AI has existed for decades.
In order to identify faces, a recognition program searches for the person in a database and tries to identify the person. The use of such applications can be found in the sectors of security and surveillance, health care, proctoring, etc. From the use of faces to unlock mobile and computing devices; to tracking emotions and the state of humans, face recognition has several advantages.
As IoT and AI introduce advancements in fitness product offerings, the fitness industry is undergoing a tremendous transition. Data is gathered from fitness trackers (e.g., smartwatches, mobile phones) that track daily activities such as total steps taken, sleep timing, and distance traveled.
Artificial intelligence analyzes this information to provide better training strategies based on your actions and feedback. AI and machine learning use complex algorithms in fitness apps to uncover data patterns during regular workouts. AI gadgets and watches, AI-driven nutrition apps, footwear, etc., have surely made a valuable addition to the fitness industry.
Artificial intelligence has already started to become an important part of our lives, from the health sector to finance, transportation, defense, and the environment. AI has made huge contributions to the world we live in today. Although AI, like any other type of technology, can be used in harmful ways, if used for good, it will always promote and lead to the betterment of society when used the right way.