What are examples of AI technology and how is it used today?
Artificial Intelligence (Ai) plays a key role in saving many lives as well as fostering economic flexibility. Several organizations have adopted Ai technologies because they offer exponential growth. Artificial Intelligence is highly influencing every firm’s future and aspiring professional. It has also become a very crucial part such as the Internet of Things (IoT), big data, and robotics.
Ai is the process of transmitting data, information, and human intelligence into machines. Its main objective is to develop self-reliant machines that can think and do tasks in the same way as a human does. These machines can imitate human behavior and do tasks by learning and problem-solving. Most of the Ai systems simulate natural intelligence to solve complex problems.
Ai focuses on performing three essential cognitive skills just like a human does — learning, reasoning, and self-correction. It can be categorized into two types. They are:
Type-1: Depending on Capabilities
There are 3-kinds of Ai technologies depending on the capabilities.
- Artificial Narrow Intelligence
Narrow Ai is also called ‘WeakAI’ which can program the machines to do certain tasks but in a much better way than a human.
- Artificial General Intelligence
This artificial intelligence can perform an array of intellectual/intelligent work with the same accuracy level as a human does.
- Artificial Super Intelligence
This is the most advanced kind, also called ‘Active AI’. It can outperform humans in certain tasks with better accuracy and speed in very little time.
Type-2: Based on Functionality
These are of four kinds that are related to the working principle of machines.
- Reactive Machines
These are the systems that solely react. These systems don’t store any kind of memories or use past experiences for decision-making.
- Limited Memory
These systems reference the past, and the information is added over time. The referenced information is mostly short-lived.
- Theory of Mind
This covers the systems that can understand human emotions and how they affect the process of decision-making. This system is trained in such a way that it adjusts the behavioral traits accordingly.
- Self-Awareness
These systems are designed and made to stay aware of them. They possess the capability to know their own internal conditions, predict other people’s feelings, as well as act appropriately based on the conditions.
Examples of AI Technologies and how is it in the year 2024
AI is incorporated in a variety of ways. An individual who wants to enhance their artificial intelligence skills must have enough knowledge about these real-time examples.
☛ Machine Learning (ML)
The Ai and ML are very closely related to each other, as the ML is a subset of the Ai. Machine Learning is a discipline of computer science that uses computer algorithms and analytics to develop predictive models or make decisions from past data or experiences without being explicitly programmed, and it is also useful for solving complex business issues. ML takes help from structured and semi-structured data so that the ML model can generate proper results or give predictions depending on the data. The ML is highly used in the following places:
- Sales forecasting for a variety of products
- Fraud analysis in banking
- Product recommendations
- Stock price prediction
☛ Deep Learning
Deep learning is a subset of ML that mainly deals with algorithms inspired by the structure and function of the human brain. Deep learning algorithms can perform tasks with a huge amount of both structured and unstructured data. Ai professionals have designed this concept based on the Artificial Neural Networks (ANN) that enables machines to make effective decisions.
☛ Automation and Cloud Collaboration
Autonomous driving technology is blooming rapidly. Several leading organizations have begun testing their vehicles such as cars without any drivers. They have also started services which include robotaxi for the public in several places. The fully automated driving offers the rides without any type of human intervention and there will be no driver on board holding the steering. These innovations are an outcome of continuous advancements in enhancing artificial intelligence-driven systems as they give more scalability as well as commercialization of autonomous driving.
Ai also plays a critical role in the major collaboration with Cloud Solutions. With the progress in artificial intelligence, one can expect that they are not far away from where they are and how they can be managed as well as monitored by the cloud resources, and the large amount of information that is present.
Real-time Applications of Ai technologies
Ai technologies have been implemented in several different ways. A few of them include:
- Chatbots that answer questions depending on user input
- Machine translation such as Google Translate
- Self-driving vehicles like Google’s Waymo
- AI Robots that include Sophia and Aibo
- Speech Recognition applications like Apple’s Siri, Google Assistant, Alexa, and Cortana
- Different facial recognition systems
Wrapping up
Several professionals are actively getting hired by many reputed organizations. If you are planning to pursue a career in Ai, then make sure you are ready with the right set of artificial intelligence skills for a demanding and flourishing career path.
