From the first discovery of fire to the first spacecraft landing on Mars, or from a very hard life to a fully high-tech life, we as modern humans always want to learn and create new things. We can say that humans have a natural aptitude for invention and innovation. And AI is one of our most daring inventions. The most intelligent and cutting-edge invention of the 21st century is also known as artificial intelligence (AI).
Artificial intelligence (AI) is now widely used in almost every industry, including research, hospitality, science, and technology. AI is able to carry out tasks that usually require human-level intelligence, such as solving math problems, creating a new script, singing a song, and more. Let’s learn more about artificial intelligence and how machine learning, and deep learning, play a vital role in it.
Strong AI Vs. Weak AI
Due to the difficulty in defining intelligence, AI specialists typically classify AI as strong AI and weak AI.
Strong AI
Strong AI, also known as artificial general intelligence, is a machine that can solve problems it’s never been trained to work on, much like a human can. This is the kind of AI we see in movies. However, currently, this type of AI doesn’t actually exist.
Strong AI is in the research and development phase, and maybe it will be the future, but the path to strong artificial general intelligence has been challenging. Additionally, some people think that research into powerful AI should be restricted because of the dangers of developing such a powerful AI without the necessary safeguards.
Unlike weak AI, strong AI will be powerful and represent a machine with a full set of cognitive abilities and an equally wide range of use cases, but the challenge of accomplishing such a feat hasn’t gotten any easier with time.
Weak AI
Weak AI, also known as narrow AI or specialised AI, is a simulation of human intelligence used to solve a narrowly defined problem (such as driving fewer vehicles, understanding human speech, or writing plagiarism-free content for a website).
The main goal of the AI is to excel at a single task. Despite the fact that these machines appear intelligent, they are subject to many more restrictions and limitations than even basic human intelligence.
Let’s have a list of some commonly used weak AI:
- Smart assistants like Siri, Alexa, and others
- Autonomous vehicles
- Internet search
- Interactive robots
- Spam filters for email
- Netflix’s suggestions
- AI-Generated Video
How Artificial Intelligence Works?
Artificial intelligence is a technology that aims to make computers as intelligent as humans. Its objective is to imitate it and carry out all the tasks, from the easiest to the most difficult. Some examples of artificial intelligence include chatbots, manufacturing robots, self-driving cars, intelligent assistants, and automated financial investing.
Artificial Intelligence approaches to achieve the cognitive ability of humans to computers or machines. As if, it can think, recognize, solve, and make the decision at the level of human accuracy.
Machine Learning and Deep Learning:
Sometimes it is confusing to find the differences between machine learning and deep learning. So first thing we have to understand is that these two are the sub-fields of Artificial intelligence.
- Machine Learning: Making an automatic model or machine that makes decisions using the information provided by humans is the core concept behind machine learning. A million datasets are fed into the model so that the model can understand the pattern of the data and predict and solve the problem perfectly. It recognises the pattern in the data and keeps track of it for use in later tasks. Applications for face recognition and building house prize prediction models are two examples of machine learning.
- Deep Learning: Deep learning is the branch of machine learning. It is the foundation of artificial neural networks. It has the ability to recognise intricate relationships and patterns in data. We don’t have to explicitly program everything in deep learning. Due to improvements in processing power and the accessibility of large datasets, deep learning has grown in popularity. It is based on deep neural networks (DNNs), also called artificial neural networks (ANNs). These neural networks are built to learn from massive amounts of data and are modeled after the structure and operation of biological neurons in the human brain.
Advantages of Artificial Intelligence:
These are some of the main benefits of artificial intelligence:
- Automation
This is one of the most important advantages of having AI. It can work independently and autonomously with a human team and automate workflows and processes. For example, if you are an SEO specialist, AI can help you provide the best SEO strategies for your content, or if you are a representative of a company, AI can write customised emails for you.
When it comes to a smart home, a smart factory, and a high-tech library, this is all about the automation of work by AI. Humanoid robots, chatbots, and smart assistants are examples of AI that use computer vision to navigate the floor, doors, and windows of a home, provide a review of a product, or use real-time analytics to monitor productivity.
- Reduce human error
AI is created to reduce errors and is fed up with the millions of predefined datasets and algorithms that help AI always use the same procedures and eliminate manual errors in data processing, analytics, manufacturing assembly, and other tasks.
- Eliminate repetitive tasks
We have to do many things repeatedly without making any changes to them; some common examples are setting alarms, chatting with customers, sending reminders to clients, searching for queries, giving answers to frequently asked questions, and more.
- Fast and accurate
AI is capable of processing more data more quickly than a human, identifying relationships and patterns in data that a human might overlook.
Disadvantages of Artificial Intelligence:
Despite having a number of advantages, AI also comes with some disadvantages. Of course, using AI and machine learning to complete tasks has some drawbacks. While this doesn’t mean we shouldn’t try to use AI, it does mean that we need to be aware of its limitations to use it properly.
Let’s discuss some of the main drawbacks of AI:
- Lacks creativity
We have discussed above that AI is fed up with millions of predefined data sets that are related to the past, and when it comes to talking about new ways and innovations, problems, or situations, in this case, AI is not going to be as perfect as it should be because it can only act as per its algorithms.
- Reduces employment
This point is probably fair to include in this list, as it used to be a common argument between people about AI vs. human jobs.
There is a long list of jobs that are being affected by AI, such as tech jobs (coders, programmers, data analysts, software engineers), media jobs (content creation, technical creation, journalism, and advertising), legal industry jobs ( legal and paralegal assistants), and more. And this list is not short at all.
This shows that, in the future, there will be many jobs that come at great risk and are completely replaced by AI.
- Ethical dilemmas
AI is made up of complex algorithms, chips, and circuits, and it does not contain living cells. As a result, it only uses logic and makes decisions based on predetermined criteria, but it is critical to include room for emotion and nuance in human works.
Suppose you are a representative of your company and keep the records of your customers and sell your product, but without involving yourself with emotions and feelings, it will be hard for you to sell your product. You must keep clear ethical, moral, and emotional boundaries with your clients.
As a result, it becomes extremely difficult to include ideas like ethics and morality in the algorithm of Artificial intelligence. There is a chance that the AI itself may be biased since the algorithm’s output depends on the parameters that its creators selected.
Artificial Intelligence Examples
These are some of the important uses of artificial intelligence:
The strongest AI chatbot ever created is called ChatGPT. A powerful AI model was developed to produce conversations that sound human after being trained on vast amounts of data. The model can understand natural language and respond with pertinent information. It can help you write original stories and other text-based content. One of the best options for businesses looking to enhance customer experiences and engage in stimulating conversations with their users is ChatGPT.
Google Maps
Google Maps tracks the ebb and flow of traffic and determines the fastest route by combining smartphone location data with user-reported information on things like construction and auto accidents.
Smart Assistants
Natural language processing, or NLP, is a method used by personal assistants like Siri, Alexa, and Cortana to interpret commands given by users and carry out tasks like setting reminders, looking up information online, and turning on and off lights. In many instances, these assistants are made to adapt to a user’s preferences over time, making better suggestions and providing responses that are more suited to their needs.
Snapchat Filters
Snapchat filters use ML algorithms to track facial movements, separate out the subject of an image from the background, and change the image on the screen based on what the user is doing.
Self-Driving Cars
Since self-driving cars use deep neural networks to detect objects around them, gauge their distance from other vehicles, recognise traffic signals, and perform a variety of other tasks, they are a well-known example of deep learning.
Future of Artificial Intelligence:
Artificial intelligence (AI) has a bright and transformative future. Automation, deep learning, and machine learning innovations will transform entire industries, personalise user experiences, and advance healthcare. It will be prioritised to use AI ethically and responsibly. Robotics, virtual reality, and augmented reality combined with AI will open up new possibilities. AI’s dynamic future has the potential to have a significant impact on many aspects of our lives.
