Navigating the Future: 7 Types of AI You Should Know in 2024

Nov 27, 2023

Discover and tap into the awesome potentials of Artificial Intelligence. Read on to begin your journey into this whole new world. Don't get left behind.


Introduction



“Hey, Siri, play All of Me by John Legend.” Rings a bell, right? Have you ever wondered why Siri obeys your voice command without fail? I'll tell you. That's the power of Artificial Intelligence (AI) in full flow.


And you know what? There is more where that came from because AI has become a mainstay in today's world, influencing how we approach different facets of our everyday lives. 


Additionally, AI has also rubbed off on different business sectors such as Banking, E-commerce, Entertainment, Healthcare, Retail, and Transportation, amongst others.


After beholding the wonders of an AI recently, a friend of mine said, “Soon, AI will become a vital part of our daily activities, and we'll have to go with the flow. I can see the writing on the wall.” 


Without a doubt, Artificial Intelligence is stealing the spotlight — and for good reason. Hence, I understood his viewpoint on this subject matter. 


For instance, chances are that those who know the ins and outs of AI edge out those who have little or no idea about AI or how it works. Hence, as we step into 2024, you must stay abreast of the latest developments in the world of artificial intelligence.


In this article, I'll hand over the keys to you by revealing the 7 AI types poised to make a significant impact in 2024. And what's more, I included some FAQs towards the end you might find useful.


Ready to unearth and unleash the game-changing potentials of Artificial Intelligence?


Let's get you on your way.




What is Artificial Intelligence?


Artificial Intelligence (AI) refers to the ability of computers, computer-controlled robots, machines, or software to execute tasks, think like, or solve problems like humans.

It employs computer science and real-time data to achieve its set functions.


How Does AI Work?


Like humans, artificial intelligence machines can adapt via progressive processing algorithms. This enables them to acquire knowledge from the detection of features, patterns, regularities, and structures after data analysis.


During every round of data processing, the AI system tests and measures how well it performs and refers to the outcome to enhance its mastery and proficiency.


Now that you have an inkling of how artificial intelligence works, we're set for the next phase. It is time to dive into the meat of the matter.


7 Types of Artificial Intelligence You Should Know in 2024


There are no straightforward types in the world of Artificial Intelligence. Instead, the types are determined by their capabilities and functionalities.


So, let's get right into the details.


Types of Artificial Intelligence Based On Capabilities


Three (3) types of Artificial Intelligence fall under this umbrella:

  • Weak AI (Narrow AI)

  • Strong AI (General AI)

  • Super AI

1.) Weak AI (Narrow AI)


The name pretty much gives away an idea of what to expect from this category of artificial intelligence. Just to be sure we're on the same page, let's take a look at its exact definition.


Weak AI, also known as Narrow AI, is a category of artificial intelligence created to carry out specific functions. Hence, it is limited to these specifications and can't go beyond the boundaries. It frequently combines neural networks and machine learning algorithms to execute their defined tasks.


Good examples of Narrow AI are the popular voice assistants Alexa and Siri, as they both have a limited range of abilities. 


No doubt, Alexa or Siri can perform different tasks like making phone calls, playing songs, sending messages, and setting reminders.


However, it can't understand complex queries or partake in significant conversations. Now, this is why it falls into this category.


Other examples include Google Translate, Google page-ranking algorithms, image recognition systems, recommendation algorithms, and spam filtering. 




2.) Strong AI (General AI)


Strong AI, or General AI, is an artificial intelligence system with high human intelligence. It can execute a wide range of tasks like humans, thanks to their ability to understand, think, learn, and apply acquired knowledge in solving challenging problems.


The General AI design aims to create machines that can perform multiple functions and also double as like-minded aides to human beings on a day-to-day basis. 



3.) Super AI 


Super AI refers to artificial intelligence that exceeds human intelligence and executes tasks better than any human can. 


The theory behind Super AI suggests that this version of artificial intelligence will evolve to attain a general intelligence level and, ultimately, become supreme. 


Put simply, they will begin to learn at an outrageous pace, heightening their abilities and knowledge to the point where they surpass humans. 


Super AI will usher in the generation of self-aware AI that can stir up their own beliefs, desires, emotions, and needs. Sounds like a big ask, doesn't it? 


This explains why the idea of Super AI remains theoretical, as there are no existing Super AI to date. The closest examples of Super AI we've witnessed were depicted in science fiction movies like Ex Machina, I, Robot, Star Trek: The Next Generation, and Wall-E.


But then, word on the street is that 2024 holds promise for the game-changing breakthrough of strong AI in our world. So, strap in as we anticipate the coming of Strong AI.



Types of Artificial Intelligence Based On Functionalities


Here, we'll be throwing light on the different types of AI based on how they function — apply their learning ability in data processing, responding to situations, and interacting with their immediate environment. 


Without further ado, here are the 4 AI based on functionality types:


  • Reactive Machines

  • Limited Theory

  • Theory of Mind

  • Self-Awareness


4.) Reactive Machines


The rise of reactive machines marked the beginning of Artificial Intelligence. Hence, you can call them the foundational AI types. As the name implies, reactive machines are reactionary — they react or respond to queries and tasks. 


However, they cannot learn from previous experiences, use acquired knowledge to decide befitting future actions or store any memory. 


They can only make accurate and fast decisions based on data in real-time, making them the perfect fit for filtering spam emails that get to your inbox or robot control systems. 




Reactive AI machines are assigned specific tasks and can't perform beyond these specifications. A famous example of a reactive machine is IBM's Deep Blue (a chess-playing expert system), which left footprints in the sands of time by becoming the first machine to defeat a chess grandmaster after the win over Garry Kasparov in a fiercely competitive 1997 chess match.


Now, how was IBM's Deep Blue able to pull this off?


Here's your answer: 


IBM's Deep Blue could recognize each piece on the chessboard and how they move. With this information in real-time, Deep Blue came up with befitting predictions that aided its actions and made the game more difficult for the opponent.


Another example of a reactive machine is the popular Netflix recommendation. The Netflix recommendation system is driven by machine learning systems that process details or data obtained from the specific TV series or movies that pique your interest. 


This is why you mostly find series or movies you'll enjoy on your Netflix home page. Here’s a typical scenario: If you enjoy watching romantic movies, you can be sure that you'll find romantic movies in the movie recommendations mix on your homepage. But this time, you won't ask: How did Netflix know I'd enjoy watching this movie?



5.) Limited Memory


Unlike reactive machines, limited memory AI can store past data or knowledge and consistently upload it to their memory. 


This allows them to refer to these past experiences and make improved future actions albeit for a short period. 


Examples of Limited Memory include Chatbots, Virtual voice assistants (Alexa and Siri), and Self-driving cars (Tesla Autopilot).


In the self-driving cars scenario, limited memory AI helps them to study road scenarios and other moving vehicles, at that moment and over time. This ongoing data is collated and included in the AI machine's static data, helping the car to avoid collisions with other cars, change lanes, detect road bumps, curves, edges, signs, or traffic lights, and much more.


In 2024, expect to see limited memory reach new heights, bridging the gap between humans and AI machines.


Discover and tap into the awesome potentials of Artificial Intelligence. Read on to begin your journey into this whole new world. Don't get left behind.


Introduction



“Hey, Siri, play All of Me by John Legend.” Rings a bell, right? Have you ever wondered why Siri obeys your voice command without fail? I'll tell you. That's the power of Artificial Intelligence (AI) in full flow.


And you know what? There is more where that came from because AI has become a mainstay in today's world, influencing how we approach different facets of our everyday lives. 


Additionally, AI has also rubbed off on different business sectors such as Banking, E-commerce, Entertainment, Healthcare, Retail, and Transportation, amongst others.


After beholding the wonders of an AI recently, a friend of mine said, “Soon, AI will become a vital part of our daily activities, and we'll have to go with the flow. I can see the writing on the wall.” 


Without a doubt, Artificial Intelligence is stealing the spotlight — and for good reason. Hence, I understood his viewpoint on this subject matter. 


For instance, chances are that those who know the ins and outs of AI edge out those who have little or no idea about AI or how it works. Hence, as we step into 2024, you must stay abreast of the latest developments in the world of artificial intelligence.


In this article, I'll hand over the keys to you by revealing the 7 AI types poised to make a significant impact in 2024. And what's more, I included some FAQs towards the end you might find useful.


Ready to unearth and unleash the game-changing potentials of Artificial Intelligence?


Let's get you on your way.




What is Artificial Intelligence?


Artificial Intelligence (AI) refers to the ability of computers, computer-controlled robots, machines, or software to execute tasks, think like, or solve problems like humans.

It employs computer science and real-time data to achieve its set functions.


How Does AI Work?


Like humans, artificial intelligence machines can adapt via progressive processing algorithms. This enables them to acquire knowledge from the detection of features, patterns, regularities, and structures after data analysis.


During every round of data processing, the AI system tests and measures how well it performs and refers to the outcome to enhance its mastery and proficiency.


Now that you have an inkling of how artificial intelligence works, we're set for the next phase. It is time to dive into the meat of the matter.


7 Types of Artificial Intelligence You Should Know in 2024


There are no straightforward types in the world of Artificial Intelligence. Instead, the types are determined by their capabilities and functionalities.


So, let's get right into the details.


Types of Artificial Intelligence Based On Capabilities


Three (3) types of Artificial Intelligence fall under this umbrella:

  • Weak AI (Narrow AI)

  • Strong AI (General AI)

  • Super AI

1.) Weak AI (Narrow AI)


The name pretty much gives away an idea of what to expect from this category of artificial intelligence. Just to be sure we're on the same page, let's take a look at its exact definition.


Weak AI, also known as Narrow AI, is a category of artificial intelligence created to carry out specific functions. Hence, it is limited to these specifications and can't go beyond the boundaries. It frequently combines neural networks and machine learning algorithms to execute their defined tasks.


Good examples of Narrow AI are the popular voice assistants Alexa and Siri, as they both have a limited range of abilities. 


No doubt, Alexa or Siri can perform different tasks like making phone calls, playing songs, sending messages, and setting reminders.


However, it can't understand complex queries or partake in significant conversations. Now, this is why it falls into this category.


Other examples include Google Translate, Google page-ranking algorithms, image recognition systems, recommendation algorithms, and spam filtering. 




2.) Strong AI (General AI)


Strong AI, or General AI, is an artificial intelligence system with high human intelligence. It can execute a wide range of tasks like humans, thanks to their ability to understand, think, learn, and apply acquired knowledge in solving challenging problems.


The General AI design aims to create machines that can perform multiple functions and also double as like-minded aides to human beings on a day-to-day basis. 



3.) Super AI 


Super AI refers to artificial intelligence that exceeds human intelligence and executes tasks better than any human can. 


The theory behind Super AI suggests that this version of artificial intelligence will evolve to attain a general intelligence level and, ultimately, become supreme. 


Put simply, they will begin to learn at an outrageous pace, heightening their abilities and knowledge to the point where they surpass humans. 


Super AI will usher in the generation of self-aware AI that can stir up their own beliefs, desires, emotions, and needs. Sounds like a big ask, doesn't it? 


This explains why the idea of Super AI remains theoretical, as there are no existing Super AI to date. The closest examples of Super AI we've witnessed were depicted in science fiction movies like Ex Machina, I, Robot, Star Trek: The Next Generation, and Wall-E.


But then, word on the street is that 2024 holds promise for the game-changing breakthrough of strong AI in our world. So, strap in as we anticipate the coming of Strong AI.



Types of Artificial Intelligence Based On Functionalities


Here, we'll be throwing light on the different types of AI based on how they function — apply their learning ability in data processing, responding to situations, and interacting with their immediate environment. 


Without further ado, here are the 4 AI based on functionality types:


  • Reactive Machines

  • Limited Theory

  • Theory of Mind

  • Self-Awareness


4.) Reactive Machines


The rise of reactive machines marked the beginning of Artificial Intelligence. Hence, you can call them the foundational AI types. As the name implies, reactive machines are reactionary — they react or respond to queries and tasks. 


However, they cannot learn from previous experiences, use acquired knowledge to decide befitting future actions or store any memory. 


They can only make accurate and fast decisions based on data in real-time, making them the perfect fit for filtering spam emails that get to your inbox or robot control systems. 




Reactive AI machines are assigned specific tasks and can't perform beyond these specifications. A famous example of a reactive machine is IBM's Deep Blue (a chess-playing expert system), which left footprints in the sands of time by becoming the first machine to defeat a chess grandmaster after the win over Garry Kasparov in a fiercely competitive 1997 chess match.


Now, how was IBM's Deep Blue able to pull this off?


Here's your answer: 


IBM's Deep Blue could recognize each piece on the chessboard and how they move. With this information in real-time, Deep Blue came up with befitting predictions that aided its actions and made the game more difficult for the opponent.


Another example of a reactive machine is the popular Netflix recommendation. The Netflix recommendation system is driven by machine learning systems that process details or data obtained from the specific TV series or movies that pique your interest. 


This is why you mostly find series or movies you'll enjoy on your Netflix home page. Here’s a typical scenario: If you enjoy watching romantic movies, you can be sure that you'll find romantic movies in the movie recommendations mix on your homepage. But this time, you won't ask: How did Netflix know I'd enjoy watching this movie?



5.) Limited Memory


Unlike reactive machines, limited memory AI can store past data or knowledge and consistently upload it to their memory. 


This allows them to refer to these past experiences and make improved future actions albeit for a short period. 


Examples of Limited Memory include Chatbots, Virtual voice assistants (Alexa and Siri), and Self-driving cars (Tesla Autopilot).


In the self-driving cars scenario, limited memory AI helps them to study road scenarios and other moving vehicles, at that moment and over time. This ongoing data is collated and included in the AI machine's static data, helping the car to avoid collisions with other cars, change lanes, detect road bumps, curves, edges, signs, or traffic lights, and much more.


In 2024, expect to see limited memory reach new heights, bridging the gap between humans and AI machines.


Discover and tap into the awesome potentials of Artificial Intelligence. Read on to begin your journey into this whole new world. Don't get left behind.


Introduction



“Hey, Siri, play All of Me by John Legend.” Rings a bell, right? Have you ever wondered why Siri obeys your voice command without fail? I'll tell you. That's the power of Artificial Intelligence (AI) in full flow.


And you know what? There is more where that came from because AI has become a mainstay in today's world, influencing how we approach different facets of our everyday lives. 


Additionally, AI has also rubbed off on different business sectors such as Banking, E-commerce, Entertainment, Healthcare, Retail, and Transportation, amongst others.


After beholding the wonders of an AI recently, a friend of mine said, “Soon, AI will become a vital part of our daily activities, and we'll have to go with the flow. I can see the writing on the wall.” 


Without a doubt, Artificial Intelligence is stealing the spotlight — and for good reason. Hence, I understood his viewpoint on this subject matter. 


For instance, chances are that those who know the ins and outs of AI edge out those who have little or no idea about AI or how it works. Hence, as we step into 2024, you must stay abreast of the latest developments in the world of artificial intelligence.


In this article, I'll hand over the keys to you by revealing the 7 AI types poised to make a significant impact in 2024. And what's more, I included some FAQs towards the end you might find useful.


Ready to unearth and unleash the game-changing potentials of Artificial Intelligence?


Let's get you on your way.




What is Artificial Intelligence?


Artificial Intelligence (AI) refers to the ability of computers, computer-controlled robots, machines, or software to execute tasks, think like, or solve problems like humans.

It employs computer science and real-time data to achieve its set functions.


How Does AI Work?


Like humans, artificial intelligence machines can adapt via progressive processing algorithms. This enables them to acquire knowledge from the detection of features, patterns, regularities, and structures after data analysis.


During every round of data processing, the AI system tests and measures how well it performs and refers to the outcome to enhance its mastery and proficiency.


Now that you have an inkling of how artificial intelligence works, we're set for the next phase. It is time to dive into the meat of the matter.


7 Types of Artificial Intelligence You Should Know in 2024


There are no straightforward types in the world of Artificial Intelligence. Instead, the types are determined by their capabilities and functionalities.


So, let's get right into the details.


Types of Artificial Intelligence Based On Capabilities


Three (3) types of Artificial Intelligence fall under this umbrella:

  • Weak AI (Narrow AI)

  • Strong AI (General AI)

  • Super AI

1.) Weak AI (Narrow AI)


The name pretty much gives away an idea of what to expect from this category of artificial intelligence. Just to be sure we're on the same page, let's take a look at its exact definition.


Weak AI, also known as Narrow AI, is a category of artificial intelligence created to carry out specific functions. Hence, it is limited to these specifications and can't go beyond the boundaries. It frequently combines neural networks and machine learning algorithms to execute their defined tasks.


Good examples of Narrow AI are the popular voice assistants Alexa and Siri, as they both have a limited range of abilities. 


No doubt, Alexa or Siri can perform different tasks like making phone calls, playing songs, sending messages, and setting reminders.


However, it can't understand complex queries or partake in significant conversations. Now, this is why it falls into this category.


Other examples include Google Translate, Google page-ranking algorithms, image recognition systems, recommendation algorithms, and spam filtering. 




2.) Strong AI (General AI)


Strong AI, or General AI, is an artificial intelligence system with high human intelligence. It can execute a wide range of tasks like humans, thanks to their ability to understand, think, learn, and apply acquired knowledge in solving challenging problems.


The General AI design aims to create machines that can perform multiple functions and also double as like-minded aides to human beings on a day-to-day basis. 



3.) Super AI 


Super AI refers to artificial intelligence that exceeds human intelligence and executes tasks better than any human can. 


The theory behind Super AI suggests that this version of artificial intelligence will evolve to attain a general intelligence level and, ultimately, become supreme. 


Put simply, they will begin to learn at an outrageous pace, heightening their abilities and knowledge to the point where they surpass humans. 


Super AI will usher in the generation of self-aware AI that can stir up their own beliefs, desires, emotions, and needs. Sounds like a big ask, doesn't it? 


This explains why the idea of Super AI remains theoretical, as there are no existing Super AI to date. The closest examples of Super AI we've witnessed were depicted in science fiction movies like Ex Machina, I, Robot, Star Trek: The Next Generation, and Wall-E.


But then, word on the street is that 2024 holds promise for the game-changing breakthrough of strong AI in our world. So, strap in as we anticipate the coming of Strong AI.



Types of Artificial Intelligence Based On Functionalities


Here, we'll be throwing light on the different types of AI based on how they function — apply their learning ability in data processing, responding to situations, and interacting with their immediate environment. 


Without further ado, here are the 4 AI based on functionality types:


  • Reactive Machines

  • Limited Theory

  • Theory of Mind

  • Self-Awareness


4.) Reactive Machines


The rise of reactive machines marked the beginning of Artificial Intelligence. Hence, you can call them the foundational AI types. As the name implies, reactive machines are reactionary — they react or respond to queries and tasks. 


However, they cannot learn from previous experiences, use acquired knowledge to decide befitting future actions or store any memory. 


They can only make accurate and fast decisions based on data in real-time, making them the perfect fit for filtering spam emails that get to your inbox or robot control systems. 




Reactive AI machines are assigned specific tasks and can't perform beyond these specifications. A famous example of a reactive machine is IBM's Deep Blue (a chess-playing expert system), which left footprints in the sands of time by becoming the first machine to defeat a chess grandmaster after the win over Garry Kasparov in a fiercely competitive 1997 chess match.


Now, how was IBM's Deep Blue able to pull this off?


Here's your answer: 


IBM's Deep Blue could recognize each piece on the chessboard and how they move. With this information in real-time, Deep Blue came up with befitting predictions that aided its actions and made the game more difficult for the opponent.


Another example of a reactive machine is the popular Netflix recommendation. The Netflix recommendation system is driven by machine learning systems that process details or data obtained from the specific TV series or movies that pique your interest. 


This is why you mostly find series or movies you'll enjoy on your Netflix home page. Here’s a typical scenario: If you enjoy watching romantic movies, you can be sure that you'll find romantic movies in the movie recommendations mix on your homepage. But this time, you won't ask: How did Netflix know I'd enjoy watching this movie?



5.) Limited Memory


Unlike reactive machines, limited memory AI can store past data or knowledge and consistently upload it to their memory. 


This allows them to refer to these past experiences and make improved future actions albeit for a short period. 


Examples of Limited Memory include Chatbots, Virtual voice assistants (Alexa and Siri), and Self-driving cars (Tesla Autopilot).


In the self-driving cars scenario, limited memory AI helps them to study road scenarios and other moving vehicles, at that moment and over time. This ongoing data is collated and included in the AI machine's static data, helping the car to avoid collisions with other cars, change lanes, detect road bumps, curves, edges, signs, or traffic lights, and much more.


In 2024, expect to see limited memory reach new heights, bridging the gap between humans and AI machines.


6.) Theory of Mind


Theory of mind AI can perform the tasks assigned to a limited memory AI, while also being capable of sensing and responding to any kind of human emotion. However, this is presently a concept that hasn't seen the light of day just yet. It's still a work in progress as we approach 2024.


For instance, Sophia, the Humanoid Robot, from Hanson Robotics uses the theory of mind AI. The cameras installed in Sophia's eyes work with computer algorithms to aid her vision. 


Thanks to this development, she can follow faces, identify individuals, and maintain eye contact. But, at this point, Sophia doesn't have the consciousness or self-awareness of humans. 



7.) Self-Awareness


Talking about Sophia's present lack of self-awareness leads us right into the next AI type based on functionalities — self-awareness AI. This is the end goal or final stage of AI creation. 


At this stage, humans will likely not be able to control the AI as they'll become conscious of their existence and super intelligent. Imagine an AI feeling hungry or craving McDonald's Apple pie, Chocolate shake, or French fries. Sounds awkward, doesn't it? 


Now, that's simply the tip of the iceberg of what's possible with a self-aware AI machine. Presently, the idea of self-awareness artificial intelligence is hypothetical. It doesn't exist yet. This is because AI and machine learning algorithms are still nothing close to the human level of self-awareness. 


To make self-aware AI a reality, more effort will have to be dedicated to unraveling the mystery of the human brain and how it controls decision-making, learning, and memory storage.


Pros and Cons of Artificial Intelligence


Artificial Intelligence undoubtedly brings a lot to the table. And like many other innovations, they also possess a few drawbacks.


Let's throw light on these pros and cons.


Pros of Artificial Intelligence 
  • Quick delivery 

  • Handles tasks repeatedly without getting bored or tired

  • Works round the clock (24/7 availability)

  • Limits human errors 

  • Makes learning more personalized (e.g., Duolingo)


Cons of Artificial Intelligence 
  • High-cost

  • Limited creativity

  • Users can become overly dependent on it

  • Could lead to cases of unemployment in some situations


Applications of Artificial Intelligence


There are many strings to the AI bow. That’s an undisputed fact. However, this time, we will bring to the spotlight seven (7) of the most promising applications of AI that are setting the pace for the future:


  • Chatbots

  • Cybersecurity

  • Expert Systems

  • Gaming

  • Natural Language Processing NLP

  • Robotics and Automation

  • Smart Homes 


a.) Chatbots


Communication is now much easier and faster, thanks to the emergence of AI-powered chatbots that easily understand queries, execute assigned tasks, or provide much-needed information. 


For instance, gone are those days when you had to wait for ages to get a reply or information from a company's customer support or customer service representative. 


Nowadays, companies employ chatbots to interact with customers and ensure they get satisfactory replies in good time, cutting out the frustrating waiting experience. 


Next time you get a swift response from customer service that leaves you in awe, this is probably their little secret.



b.) Cybersecurity 


Protecting your sensitive information from prying eyes on the internet is undoubtedly a top priority. Artificial intelligence can help you achieve this by detecting and eliminating any potential cyber attack via anomaly detection, network traffic analysis, attack prediction, and a swift response mechanism.



c.) Expert Systems


Expert Systems are computer programs created to replicate human's impressive decision-making and reasoning. Some noteworthy applications of expert systems include customer service, financial planning, and medical diagnosis.



d.) Gaming


The life of gamers just got even better with the dawn of AI. So, if you ever wished for a more immersive experience that brings you closer to the action, there has never been a better time to be alive.


With the assistance of AI algorithms, game creators can create or tailor gaming experiences to satisfy the cravings of different gamers by introducing realistic graphics and character behavior, enhanced decision-making, and much more. 



e.) Natural Language Processing (NLP)


In Natural Language Processing, AI is used for analysis and comprehension of the different languages humans communicate with. This makes it perfect for machine translations, sentiment analysis, speech recognition, and renowned virtual assistants like Alexa and Siri.



f.) Robotics and Automation


AI is a vital part of the go-to robotics and automation system, in today's world. In this case, AI algorithms equip robots with all they need to execute complicated functions in a wide range of industries, including exploration, healthcare, logistics, and manufacturing.


Over time, these robots learn from the experiences they have garnered, adapt to different environments, and work hand-in-hand with humans to deliver much improved outputs.




g.) Smart Homes


Let's face facts: We all want to make our house a home or a haven —a place where you feel you belong or feel at ease, away from the worries of the hustle and bustle of your city. To make this happen, you need to fill your space with items that you cherish, ranging from decors to devices.


Now, imagine controlling your devices from anywhere in your home with your smartphone or tablet. Sounds promising, right? Almost too good to be true, I guess?


But then, that's what you get with a smart home powered by AI. You see, AI helps to establish smart home systems that are receptive and user-defined, allowing users to automate certain activities, control devices, and make befitting choices.



FAQs


Q: Can AI be used in the healthcare sector?

A: Yes. AI can discover drugs via data analysis, tailor treatment plans based on a patient's data, aid medical diagnosis, and predict patient outcomes, amongst others.


Q: What is the difference between Weak AI and Strong AI?

A: Weak AI is designed to execute a specific task, e.g., image recognition or virtual assistance. On the other hand, Strong AI is capable of understanding, learning, and applying acquired knowledge across different scenarios.


Q: Are there ethical concerns with AI development?

A: Yes, there are. This is due to the possible bias in Algorithms, likelihood of job displacement, privacy invasion, and a few other discouraging reasons


Final Words



All the signs suggest that 2024 holds a lot of promise for the world of Artificial Intelligence. So, if you'd love to stay ahead of the curve in this ever-changing, fast-paced world, keep tabs on AI machines.


Every emerging or improved type of AI comes with a fresh set of challenges and opportunities. Now, this is why you have to be on your toes, so you don't get taken unawares by what's coming.


Whether you're an entrepreneur, student, professional, or anyone, leveraging the power of artificial intelligence will undoubtedly come in handy. Don't sleep on it. Instead, position yourself for this game-changing development in 2024. 


It might be long before an all-inclusive problem-solving or self-aware AI becomes a thing. Nonetheless, stay on top of the situation by learning more about artificial intelligence.


After all is said and done, I hope this post opened your eyes to the world of AI and the 7 distinct types of AI you should keep your eyes peeled for in 2024.


Want to keep up with the latest AI or tech trends that lie ahead in the future? We've got you covered. Stay tuned to this blog for up-to-date information you can bank on.

6.) Theory of Mind


Theory of mind AI can perform the tasks assigned to a limited memory AI, while also being capable of sensing and responding to any kind of human emotion. However, this is presently a concept that hasn't seen the light of day just yet. It's still a work in progress as we approach 2024.


For instance, Sophia, the Humanoid Robot, from Hanson Robotics uses the theory of mind AI. The cameras installed in Sophia's eyes work with computer algorithms to aid her vision. 


Thanks to this development, she can follow faces, identify individuals, and maintain eye contact. But, at this point, Sophia doesn't have the consciousness or self-awareness of humans. 



7.) Self-Awareness


Talking about Sophia's present lack of self-awareness leads us right into the next AI type based on functionalities — self-awareness AI. This is the end goal or final stage of AI creation. 


At this stage, humans will likely not be able to control the AI as they'll become conscious of their existence and super intelligent. Imagine an AI feeling hungry or craving McDonald's Apple pie, Chocolate shake, or French fries. Sounds awkward, doesn't it? 


Now, that's simply the tip of the iceberg of what's possible with a self-aware AI machine. Presently, the idea of self-awareness artificial intelligence is hypothetical. It doesn't exist yet. This is because AI and machine learning algorithms are still nothing close to the human level of self-awareness. 


To make self-aware AI a reality, more effort will have to be dedicated to unraveling the mystery of the human brain and how it controls decision-making, learning, and memory storage.


Pros and Cons of Artificial Intelligence


Artificial Intelligence undoubtedly brings a lot to the table. And like many other innovations, they also possess a few drawbacks.


Let's throw light on these pros and cons.


Pros of Artificial Intelligence 
  • Quick delivery 

  • Handles tasks repeatedly without getting bored or tired

  • Works round the clock (24/7 availability)

  • Limits human errors 

  • Makes learning more personalized (e.g., Duolingo)


Cons of Artificial Intelligence 
  • High-cost

  • Limited creativity

  • Users can become overly dependent on it

  • Could lead to cases of unemployment in some situations


Applications of Artificial Intelligence


There are many strings to the AI bow. That’s an undisputed fact. However, this time, we will bring to the spotlight seven (7) of the most promising applications of AI that are setting the pace for the future:


  • Chatbots

  • Cybersecurity

  • Expert Systems

  • Gaming

  • Natural Language Processing NLP

  • Robotics and Automation

  • Smart Homes 


a.) Chatbots


Communication is now much easier and faster, thanks to the emergence of AI-powered chatbots that easily understand queries, execute assigned tasks, or provide much-needed information. 


For instance, gone are those days when you had to wait for ages to get a reply or information from a company's customer support or customer service representative. 


Nowadays, companies employ chatbots to interact with customers and ensure they get satisfactory replies in good time, cutting out the frustrating waiting experience. 


Next time you get a swift response from customer service that leaves you in awe, this is probably their little secret.



b.) Cybersecurity 


Protecting your sensitive information from prying eyes on the internet is undoubtedly a top priority. Artificial intelligence can help you achieve this by detecting and eliminating any potential cyber attack via anomaly detection, network traffic analysis, attack prediction, and a swift response mechanism.



c.) Expert Systems


Expert Systems are computer programs created to replicate human's impressive decision-making and reasoning. Some noteworthy applications of expert systems include customer service, financial planning, and medical diagnosis.



d.) Gaming


The life of gamers just got even better with the dawn of AI. So, if you ever wished for a more immersive experience that brings you closer to the action, there has never been a better time to be alive.


With the assistance of AI algorithms, game creators can create or tailor gaming experiences to satisfy the cravings of different gamers by introducing realistic graphics and character behavior, enhanced decision-making, and much more. 



e.) Natural Language Processing (NLP)


In Natural Language Processing, AI is used for analysis and comprehension of the different languages humans communicate with. This makes it perfect for machine translations, sentiment analysis, speech recognition, and renowned virtual assistants like Alexa and Siri.



f.) Robotics and Automation


AI is a vital part of the go-to robotics and automation system, in today's world. In this case, AI algorithms equip robots with all they need to execute complicated functions in a wide range of industries, including exploration, healthcare, logistics, and manufacturing.


Over time, these robots learn from the experiences they have garnered, adapt to different environments, and work hand-in-hand with humans to deliver much improved outputs.




g.) Smart Homes


Let's face facts: We all want to make our house a home or a haven —a place where you feel you belong or feel at ease, away from the worries of the hustle and bustle of your city. To make this happen, you need to fill your space with items that you cherish, ranging from decors to devices.


Now, imagine controlling your devices from anywhere in your home with your smartphone or tablet. Sounds promising, right? Almost too good to be true, I guess?


But then, that's what you get with a smart home powered by AI. You see, AI helps to establish smart home systems that are receptive and user-defined, allowing users to automate certain activities, control devices, and make befitting choices.



FAQs


Q: Can AI be used in the healthcare sector?

A: Yes. AI can discover drugs via data analysis, tailor treatment plans based on a patient's data, aid medical diagnosis, and predict patient outcomes, amongst others.


Q: What is the difference between Weak AI and Strong AI?

A: Weak AI is designed to execute a specific task, e.g., image recognition or virtual assistance. On the other hand, Strong AI is capable of understanding, learning, and applying acquired knowledge across different scenarios.


Q: Are there ethical concerns with AI development?

A: Yes, there are. This is due to the possible bias in Algorithms, likelihood of job displacement, privacy invasion, and a few other discouraging reasons


Final Words



All the signs suggest that 2024 holds a lot of promise for the world of Artificial Intelligence. So, if you'd love to stay ahead of the curve in this ever-changing, fast-paced world, keep tabs on AI machines.


Every emerging or improved type of AI comes with a fresh set of challenges and opportunities. Now, this is why you have to be on your toes, so you don't get taken unawares by what's coming.


Whether you're an entrepreneur, student, professional, or anyone, leveraging the power of artificial intelligence will undoubtedly come in handy. Don't sleep on it. Instead, position yourself for this game-changing development in 2024. 


It might be long before an all-inclusive problem-solving or self-aware AI becomes a thing. Nonetheless, stay on top of the situation by learning more about artificial intelligence.


After all is said and done, I hope this post opened your eyes to the world of AI and the 7 distinct types of AI you should keep your eyes peeled for in 2024.


Want to keep up with the latest AI or tech trends that lie ahead in the future? We've got you covered. Stay tuned to this blog for up-to-date information you can bank on.

6.) Theory of Mind


Theory of mind AI can perform the tasks assigned to a limited memory AI, while also being capable of sensing and responding to any kind of human emotion. However, this is presently a concept that hasn't seen the light of day just yet. It's still a work in progress as we approach 2024.


For instance, Sophia, the Humanoid Robot, from Hanson Robotics uses the theory of mind AI. The cameras installed in Sophia's eyes work with computer algorithms to aid her vision. 


Thanks to this development, she can follow faces, identify individuals, and maintain eye contact. But, at this point, Sophia doesn't have the consciousness or self-awareness of humans. 



7.) Self-Awareness


Talking about Sophia's present lack of self-awareness leads us right into the next AI type based on functionalities — self-awareness AI. This is the end goal or final stage of AI creation. 


At this stage, humans will likely not be able to control the AI as they'll become conscious of their existence and super intelligent. Imagine an AI feeling hungry or craving McDonald's Apple pie, Chocolate shake, or French fries. Sounds awkward, doesn't it? 


Now, that's simply the tip of the iceberg of what's possible with a self-aware AI machine. Presently, the idea of self-awareness artificial intelligence is hypothetical. It doesn't exist yet. This is because AI and machine learning algorithms are still nothing close to the human level of self-awareness. 


To make self-aware AI a reality, more effort will have to be dedicated to unraveling the mystery of the human brain and how it controls decision-making, learning, and memory storage.


Pros and Cons of Artificial Intelligence


Artificial Intelligence undoubtedly brings a lot to the table. And like many other innovations, they also possess a few drawbacks.


Let's throw light on these pros and cons.


Pros of Artificial Intelligence 
  • Quick delivery 

  • Handles tasks repeatedly without getting bored or tired

  • Works round the clock (24/7 availability)

  • Limits human errors 

  • Makes learning more personalized (e.g., Duolingo)


Cons of Artificial Intelligence 
  • High-cost

  • Limited creativity

  • Users can become overly dependent on it

  • Could lead to cases of unemployment in some situations


Applications of Artificial Intelligence


There are many strings to the AI bow. That’s an undisputed fact. However, this time, we will bring to the spotlight seven (7) of the most promising applications of AI that are setting the pace for the future:


  • Chatbots

  • Cybersecurity

  • Expert Systems

  • Gaming

  • Natural Language Processing NLP

  • Robotics and Automation

  • Smart Homes 


a.) Chatbots


Communication is now much easier and faster, thanks to the emergence of AI-powered chatbots that easily understand queries, execute assigned tasks, or provide much-needed information. 


For instance, gone are those days when you had to wait for ages to get a reply or information from a company's customer support or customer service representative. 


Nowadays, companies employ chatbots to interact with customers and ensure they get satisfactory replies in good time, cutting out the frustrating waiting experience. 


Next time you get a swift response from customer service that leaves you in awe, this is probably their little secret.



b.) Cybersecurity 


Protecting your sensitive information from prying eyes on the internet is undoubtedly a top priority. Artificial intelligence can help you achieve this by detecting and eliminating any potential cyber attack via anomaly detection, network traffic analysis, attack prediction, and a swift response mechanism.



c.) Expert Systems


Expert Systems are computer programs created to replicate human's impressive decision-making and reasoning. Some noteworthy applications of expert systems include customer service, financial planning, and medical diagnosis.



d.) Gaming


The life of gamers just got even better with the dawn of AI. So, if you ever wished for a more immersive experience that brings you closer to the action, there has never been a better time to be alive.


With the assistance of AI algorithms, game creators can create or tailor gaming experiences to satisfy the cravings of different gamers by introducing realistic graphics and character behavior, enhanced decision-making, and much more. 



e.) Natural Language Processing (NLP)


In Natural Language Processing, AI is used for analysis and comprehension of the different languages humans communicate with. This makes it perfect for machine translations, sentiment analysis, speech recognition, and renowned virtual assistants like Alexa and Siri.



f.) Robotics and Automation


AI is a vital part of the go-to robotics and automation system, in today's world. In this case, AI algorithms equip robots with all they need to execute complicated functions in a wide range of industries, including exploration, healthcare, logistics, and manufacturing.


Over time, these robots learn from the experiences they have garnered, adapt to different environments, and work hand-in-hand with humans to deliver much improved outputs.




g.) Smart Homes


Let's face facts: We all want to make our house a home or a haven —a place where you feel you belong or feel at ease, away from the worries of the hustle and bustle of your city. To make this happen, you need to fill your space with items that you cherish, ranging from decors to devices.


Now, imagine controlling your devices from anywhere in your home with your smartphone or tablet. Sounds promising, right? Almost too good to be true, I guess?


But then, that's what you get with a smart home powered by AI. You see, AI helps to establish smart home systems that are receptive and user-defined, allowing users to automate certain activities, control devices, and make befitting choices.



FAQs


Q: Can AI be used in the healthcare sector?

A: Yes. AI can discover drugs via data analysis, tailor treatment plans based on a patient's data, aid medical diagnosis, and predict patient outcomes, amongst others.


Q: What is the difference between Weak AI and Strong AI?

A: Weak AI is designed to execute a specific task, e.g., image recognition or virtual assistance. On the other hand, Strong AI is capable of understanding, learning, and applying acquired knowledge across different scenarios.


Q: Are there ethical concerns with AI development?

A: Yes, there are. This is due to the possible bias in Algorithms, likelihood of job displacement, privacy invasion, and a few other discouraging reasons


Final Words



All the signs suggest that 2024 holds a lot of promise for the world of Artificial Intelligence. So, if you'd love to stay ahead of the curve in this ever-changing, fast-paced world, keep tabs on AI machines.


Every emerging or improved type of AI comes with a fresh set of challenges and opportunities. Now, this is why you have to be on your toes, so you don't get taken unawares by what's coming.


Whether you're an entrepreneur, student, professional, or anyone, leveraging the power of artificial intelligence will undoubtedly come in handy. Don't sleep on it. Instead, position yourself for this game-changing development in 2024. 


It might be long before an all-inclusive problem-solving or self-aware AI becomes a thing. Nonetheless, stay on top of the situation by learning more about artificial intelligence.


After all is said and done, I hope this post opened your eyes to the world of AI and the 7 distinct types of AI you should keep your eyes peeled for in 2024.


Want to keep up with the latest AI or tech trends that lie ahead in the future? We've got you covered. Stay tuned to this blog for up-to-date information you can bank on.

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