期望電腦能執行所有人類的工作，除了具有認知能力之外，還能夠推理、自學、溝通甚至擁有自我意識. Study with Quizlet and memorize flashcards containing terms like What is the difference between Strong and Weak AI?, Give an example of emergent intelligent action in a simple animal and a simple machine. It’s AI that is able to do some tasks, but is not likely to take over the human race. C. In the spirit of Searle's definition of weak and strong artificial intelligence, this paper presents a discussion on weak com-putational creativity in swarm intelligence systems. . Narrow, or weak, AI is trained to do one thing, albeit really well. - Power highly decentralized among state and nonstate actors. Many. Weak AI vs. 4 Q. . Artificial intelligence that mimics human emotion and creativity captures the imagination and ignites fear. Narrow (or “weak”) AI Some go even further to define artificial intelligence as “narrow” and “general” AI. Sumera Saeed. (It bears emphasis that strong emergentists typically also suppose that some interesting organized behavior is more plausibly. Weak AI vs. The second two types have yet to be achieved and belong to a category sometimes called strong AI. can construct machinery capable of. the ability to sense, understand, reason, learn and act in dynamic environments. Strikingly, however, it is not prominent in current debates on ethical aspects of AI and robotics. Even if each one of these are important, underpinning all of them is reasoning, or how to make sense of things. AI is generally broken down into specialized or general and strong or weak AI, depending on its applications. Current AI applications are typically designed to carry out one task, becoming increasingly good at it as they are fed more data. ” According to. The two methods are similar, but classification uses pre-defined rules, while clustering identifies similarities between objects and groups them accordingly. However, many AI researcher have pursued the aim of developing artificial intelligence that is in principle identical to human intelligence, called strong AI. In other words, it’s just another. Kecerdasan buatan ini di program agar dapat menampilkan hal-hal sesuai dengan perilaku dan kecerdasan manusia. In this video, see the difference between strong and weak artificial intelligence. The current state of AI offerings would be classified mostly as “weak” AI at this point. So far the so-called AI everywhere you see in machines or listen about is weak AI. Rather than attempting to fully replicate a human mind, weak AI focuses on creating intelligence focused on a certain job or subject of study. 약인공지능은 어떤 특정한 한 가지 분야의 주어진 일을 인간의 지시에 따라 수행하는 인공지능을 말하는데 이러한 약인공지능의 제한된 기능을 뛰어넘어 더 발달된 인공지능이 바로 강인공지능이다. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. There are many different types of AI, but two of the most commonly discussed are strong AI and weak AI. Strong and Weak Bases. Today’s AI systems fall under the category of weak AI (“weak artifical intelligence”) (Walch, 2019): human intelligence or human cognitive abilities are only matched and possibly surpassed in delimited sub-areas. g. Hark back to an earlier era of AI, around the late 1970s and early 1980s, a period of time that was characterized as the first era of AI flourishment,. Mind the Gap. A diphthong is a sound formed by two vowels in a single syllable. Strong entity is not dependent on any other entity. Quote: Original post by MDI Well, yes, it does. Because currently all our artificial intelligence is weak and only very specific tasks or groups. Strong PUFs . - The state is subject to direct public control. 2. The machines cannot do this on their own because of weak AI and rely heavily on human intervention. August 13, 2019 • Shannon Flynn Advertisements Artificial intelligence (AI) is a fixture of modern conversations. When a weak compare-and-exchange would require a loop and a strong one would not, the strong one is preferable. But they deal with different types of questions. Let’s take a closer look at each. Narrow AI, also known as weak AI, is an application of artificial intelligence technologies to enable a high-functioning system that replicates -- and perhaps surpasses -- human intelligence for a dedicated purpose. weak AI - So, when is a computer system intelligent? We've seen that when a computer system is just matching symbols, it's almost like a high-tech phrase book. In the philosophy of strong AI, there is no essential difference between the piece of software, which is the AI, exactly emulating the actions of the human brain, and actions of a human. Narrow AI is designed and trained ona specific task or a narrow range tasks. However, it is impossible to. Read Kathleen Walch’s article in Forbes about weak vs. Many organizations already use weak AI to help with narrow tasks, such as these. Similarly, for the weak form. Learn the differences between weak and strong AI. A binary acid (HnX) is an acid composed of hydrogen and a nonmetal. It has the ability to take in data and put it into action. There is a fundamental difference between strong AI and weak AI. The usual distinction is that strong AI, also known as artificial general intelligence, refers to systems that can perform arbitrary tasks requiring intellect, whereas a weak AI is only able to perform specific intellectual tasks. Machine learning is a subset of AI. When a compare-and-exchange is in a loop, the weak version will yield better performance on some platforms. Narrow AI usually carries out one particular task with extremely high efficiency which mimics human intelligence. H 2 SO 4 - sulfuric acid ( HSO4- is a weak acid) HBr - hydrobromic acid. These categories demonstrate AI’s capabilities as it. When comparing strong AI and weak AI, there are several advantages and limitations to consider: Potential to perform any intellectual task. Weak vs. A state that is able to fulfill basic tasks, such as defending. From all the philosophical debates surrounding AI, none is more important that the weak vs. Weak AI While weak AI focuses on automating specific tasks, strong AI is capable of learning and thinking. It excels in one specific area but lacks versatility. Flashcards. Artificial Intelligence (AI) and Weak vs. It can perform one type of task, but not both, whereas Strong AI can perform a variety of functions, eventually teaching itself to solve for new problems. Artificial General Intelligence (AGI), also known as Strong AI, is today nothing more than a theoretical concept. On the other, within the singularity narrative, the latter follows on and from the former, i. Study with Quizlet and memorize flashcards containing terms like a machine that can be in exactly one of a finite number of states at a given time, Turing machines CAN FSA can NOT, FSA do NOT have a memory Universal Turing Machines do a have a memory storage (program) and more. While Weak AI has current practical applications, Strong AI is still in development and poses significant technical and ethical challenges. The concept of weak and strong AI emanates from Searle’s objection to the argument put forward by the proponents of the idea that the relation between the brain and the body of a human being is identical in many respects to the relation between the hardware and the software of AI and MC. strong AI Searle begins by distinguishing weak vs. Based on Capabilities of AI -Type 1. Weak vs. Strong AI and Weak AI • There are two entirely different schools of Artificial Intelligence: • Strong AI: • This is the view that a sufficiently programmed computer would actually be intelligent and would think in the same way that a human does. Weak vs strong artificial intelligence. This paper will reconsider the possibilities of Strong and Weak AI in the context of John Dewey’s naturalistic pragmatism to recast our understandings of the qualities of “weak” and “strong” AI, and ultimately present the. Strong AI vs. Two subsets of AI fall under the weak AI category: reactive machines and limited memory machines. If the use of AI in law is discussed it is important to bear one distinction between “weak” and “strong” AI in mind. This paper will reconsider the possibilities of Strong and Weak AI in the context of John Dewey’s naturalistic pragmatism to recast our understandings of the qualities of “weak” and “strong” AI, and ultimately present the. strong AI is not widely catalogued out there at the moment. strong? Machines, like humans, can think and carry out tasks on their own with strong AI. AI models have surpassed human capabilities to evolve and change. Let’s take a closer look at each. 术语 （ 英语 ： Glossary of artificial intelligence ）. Strong Emergence: Contested Phenomena. At its most extreme strong AI aims to create an artificial consciousness. . [Cox & Miller, 1965] For continuous stochastic processes the condition is similar, with T⊂ℝ, n∈ℕ and any τ∈ℝ instead. In this section of the book we will list and point some of the most influential people in the computer revolution. In reality, strong artificial intelligence in the future might look like AI systems. Step 1. As it turns out, 'weak & strong AI' is already used by the experts but it deals mostly with multimodality and/or multi-tasking, with 'weak AI' being capable of handling only one type of tasks and 'strong AI' being capable to handle multiple different tasks similarly to a human - I think however that my use of those terms seems to be more. While Weak AI specializes in specific and limited tasks, Strong AI aims to achieve or surpass human intelligence in multiple areas. This would be an example of strong AI. In other words, the technology is not actively thinking for itself. In Spanish, diphthongs can be formed by combining a strong vowel (a, e, or o) and a weak vowel (i or u), or by combining two weak vowels. Weak artificial intelligence, also known as Narrow AI, refers to a type of AI that is designed to perform specific tasks within a narrow domain. . JavaScript assumes and converts types automatically a lot: 4 + ' 7 '; // '47' 4 * ' 7 '; // 28 2 + true; // 3 false-3; // -3. {"payload":{"allShortcutsEnabled":false,"fileTree":{"Fundamentals of AI - Module 1":{"items":[{"name":"handtaken","path":"Fundamentals of AI - Module 1/handtaken. What is the benefit of a self-learning model to IT Company A clients’ work? 20 Q. Others, though, would claim there is a distinct difference. Therefore, 3. The marketplace will have “strong” AI solutions ready for delivery within the next year. Machine learning (ML) is a subfield of AI that uses algorithms trained on data to produce adaptable models that can perform a variety of complex tasks. The marketplace will have “strong” AI solutions ready for delivery within the next year. Current AI applications are typically designed to carry out one task, becoming increasingly good at it as they are fed more data. b. Weak vs Strong AI Jan 20, 2020 Machine Reading Jan 22, 2018 AI in Space Science Dec 15, 2017 AI - breaking new barriers Dec 7, 2017 IIOT - Some thoughts Nov 20, 2017. Weak vs Strong AI. However, to understand fully what AI is and the issues that concern it, studying various definitions is necessary. strong AI. Weak AI is less ambitious than strong. Narrow (or “weak”) AI Some go even further to define artificial intelligence as “narrow” and “general” AI. ARTIFICIAL INTELLIGENCE | Part-4 | Strong and Weak. A real-life example that pushes the boundaries between weak and. 'strong' AI and its ethical implications. Narrow AI (Weak AI) General AI (Strong AI) Super AI. I borrow the terms “weak AI” and “strong AI” here without an intent to discuss CRA. According to this idea, a weak AI is an AI system that doesn’t have a mind or consciousness. To exemplify strong AI and weak AI in real life in the article "Strong AI vs. Weak Vs Strong Method WM: Focused towards the technology which is capable of carrying out pre planned moves based on some rules and applying it to achieve goals SM: Based on coming up with a technology that can think and function similar to humans Application of weak method makes humans feel that machines are acting. Examples include object-oriented programming, speech recognition, robot motion planning, facial recognition and. This is the most common definition of stationarity, and it is commonly referred to simply as stationarity. Strong AI Weak AI { We can build machines that act as if they were intelligent { We can study human intelligence by building computer models of it { Most AI research is in this area (and most researchers would agree that we are succeeding to a large extent) Strong AI { The goal is to build machines that are actually thinking like people"1. Kecerdasan buatan ini di program agar dapat menampilkan hal-hal sesuai dengan perilaku dan kecerdasan manusia. , [15–18]. Strong AI is artificial intelligence that can carry out tasks that require human-like intelligence, such as reasoning, natural language understanding, and problem solving. Talking about weak AI vs strong AI, we know that strong AI is still growing. In other words, weak AI is the type of. At its simplest level, AI can be split into two categories: Strong AI and weak AI. Strong AI will have a mind of its own and will be able to accomplish any type of task that its ‘mind’ can envision. Efficiency. Strong AI vs. Weak AI simply acts upon and is bound. See related discussions in e. It should hone its common decency and communication abilities by observation of people, the environment, and a variety of other factors. When combined with robotics, strong AI can perform physical tasks as well. The AI applications we see all around us are weak AI: driving aids and. O Al models have surpassed human capabilities to evolve and change. One more important demand lies in the root of uniting all these characteristics. 1. Strong AI is essentially AI that is capable of human-level, general intelligence. Weak AI specializes in a particular task, like answering user questions or playing chess. Weak AI refers to the kinds of artificial intelligence that we’re used to in our day-to-day lives. The goal is to understand the human. Weak vs Strong AI. Examples include DALL-E, Midjourney, and ChatGPT. These envisioned robots were expected to interact with humans on various levels. AI in Project Management;. Weak AI. These systems have the. Strong artificial intelligence can perform any task a human can do. Some examples include analyzing images. At the root of this AI-related dilemma lays the paradox and controversy surrounding the differences in nature and goals of Strong and Weak AI. This is “weak” AI and contrasts to the intent of the “strong” AI enthusiasts who aim to do nothing less than create a thinking, conscious machine that is the equal or better than a human. Rather than trying to mimic the intelligence and emotional capabilities of humans, weak AI focuses on developing intelligence to perform a. Weak Learner: Easy to prepare, but not desirable due to their low skill. The former asserts that machines can only simulate human behavior, while the latter contends that machines will eventually be conscious, sentient, and sapient. Strong AI not only emulates human-like decision-making but also has the potential to comprehend emotions and exhibit emotional responses. Turing predicted machines would be able to be programmed to pass the Turing (or imitation) test 50 years of philosophical debate have followed Strong AI vs. . Strong AI is when machines exhibit traits that resemble human intelligence and consciousness – if this is achieved, it ultimately means that machines can make decisions that parallel those made by humans using self. Most of what we experience in our day-to-day lives is narrow AI, which performs a single task or a set of closely related tasks. Strong AI is essentially AI that is capable of human-level, general intelligence. a. Artificial Intelligence (AI) has vast potential in marketing. Weak AI designates computer programs capable of surpassing humans in complex tasks on a narrow and precisely delimited domain (such as playing chess). Artificial Intelligence atau yang sering disingkat AI adalah suatu kecerdasan buatan yang diprogram agar dapat berpikir seperti layaknya manusia. Which describes the state of "weak" vs. Reasoning is a core trait that divides artificial intelligence. “strong” Artificial Intelligence in the marketplace? 19. JavaScript is a weakly typed language. First, it is helpful to draw a distinction between weak artificial intelligence (WAI) and strong artificial intelligence (SAI). While strong AI and weak AI differ in their level of intelligence and autonomy, they both have their own advantages and limitations. The classification of AI is based on functionalities highlights its technical applicability. We can agree that all AI developed today is weak. While there are programs that help sort your email, provide you with personalized recommendations based on your online. strong AI Weak AI—also called Narrow AI or Artificial Narrow Intelligence (ANI)—is AI trained and focused to perform specific tasks. RELATED: The biggest AI developments of 2016. 強人工智慧（Strong Artificial Intelligence） ：. It is strong AI because ChatGPT gave you genuinely helpful advice that’s the same quality as a human’s. In other words, it’s just another. The task could be very complex, like driving a car, or as simple as recommending movies to watch. For example, AlphaGo is an AI-based computer program that in 2015 became the first Go program to defeat a human professional without handicaps on a full-sized board. increased security c. The most common and currently available AI is Narrow AI in the world of Artificial Intelligence. Popular uses of the terms ‘Weak AI’ and ‘Strong AI’ are less. Strong AI vs. They support us in specific use cases. Several things:First, Strong AI isn't necessarily something one programs towards, because it's more of a philosophical stance than a practical one. Weak Artificial Intelligence (AI) focuses on carrying out a specific task, like answering queries based on user input or playing chess. 1 Weak vs. • Weak AI: • This is the use of methods modeled on intelligent. These AI systems are designed to perform specific tasks, such as language translation, image recognition, or customer support chatbots. Artificial general intelligence (AGI), also known as strong AI or deep AI, refers to the idea of a machine with general intelligence that can learn and apply its intelligence to solve every problem. Narrow AI cannot perform beyond its field or limitations, as it is only trained for one specific task. In the history of computer science, the label "artificial intelligence" has been used to refer to various technical projects. Weak or narrow AI is the type of artificial intelligence that powers self-driving vehicles, algorithmic image generators and chatbots. Searle, who created the terms "Strong AI" and "Weak AI", explains it best in the Chinese Room argument, which I'm sure you've read, but I'll just clarify it here:Searle envisions a room in which a person is stYou’re probably familiar with the term ‘artificial intelligence’, but do you know the difference between strong AI and weak AI? Strong AI is able to. Strong AI Weak AI { We can build machines that act as if they were intelligent { We can study human intelligence by building computer models of it { Most AI research is in this area (and most researchers would agree that we are succeeding to a large extent) Strong AI { The goal is to build machines that are actually thinking like people"Weak AI vs Strong AI. Strong AI. The AI you know is "weak" AI, but the AI many fear is "strong. Almost like a human. The claim that weak AI is possible is the claim that machines could simulate the behavior of beings like us which have mental states. Many of the individuals who discuss it often specify weak vs. Narrow AI: Narrow AI also known as Weak AI or Narrow AI. . Real artificial intelligence is about building minds, which consists of consciousness, imagination, perception, thinking, judgment, language and memory. Artificial general intelligence (AGI) is the representation of generalized human cognitive abilities in software so that, faced with an unfamiliar task, the AI system could find a solution. Fool’s gold seems to be gold, but it isn’t. Strong AI systems will have their consciousness, sentience, etc ( say having brains just like that of humans). 1. The weak vs. Two subsets of AI fall under the weak AI category: reactive machines and limited memory machines. Formulate a problem as state space search problem, and apply appropriate search algorithms to solve them. - The state lacks basic ability to fulfill tasks. ARTIFICIAL INTELLIGENCE 6th edition Structures and Strategies for Complex Problem Solving 1 Strong AI vs. All strong bases are OH – compounds. General AI. Some of you may be confused. strong AI. Because it's already here and only going to become more critical in the future, it's essential to. Artificial Intelligence was an important development in the early decades of this century. According to strong AI, Searle says, “the computer is not merely a tool in the study of the mind, rather the appropriately programmed computer really is a mind in the sense that computers given the right programs can be literally said to understand and have other cognitive states”. The first two types belong to a category known as narrow AI, or AI that's trained to perform a specific or limited range of tasks. By 2025, the technology will help businesses generate an. Artificial intelligence (AI) is the ability of computers or computer-controlled machines to execute human-like activities. What is a major benefit of working with a ready-to-use cloud-based Artificial Intelligence (AI) vendor service? a. The goal is for artificial intelligence to progress to the point where humans can interact with robots that are sentient, intelligent, and driven. The differences between weak vs. See moreStrong AI vs. , [15–18]. decreased computing power b. Weak artificial intelligence (AI) refers to a subset of AI that is designed to perform specific tasks with a limited scope, without possessing general intelligence or consciousness. It refers to systems designed to respond to a particular set of inputs. 529 billion. Weak AI is like a prodigy whose talent in one domain surpasses average human. On the one hand, the latter (superintelligence) is a specification, a subset of the former (strong AI). Weak entity depends on strong entity. As machine learning capabilities continue to evolve, and. I. Check out some. · Narrow AI is programmed to operate within a set of pre-defined functions that the programming is taught to complete or solve. Weak AI is the hypothesis that a powerful enough computer could simulate any aspect of the human mind. Artificial intelligence (AI) is a fixture of modern conversations. The opposite of strong AI is weak AI. 15. Quote:Original post by AsbestosThat's not quite the distinction between Strong and Weak AI. Weak AI, also known as Narrow AI, is currently dominating the market. Strong AI, otherwise known as Artificial General Intelligence, is a computer system designed to think and act like a human. Strong AI vs. The biggest advantage of a strong grip is that it can reduce a slice or help you hit a draw shot. It could tackle any problem or task in. It does not have…Pixabay. Digital voice assistants (Siri, Alexa) Often referred to as the best examples of weak AI, digital voice assistants such as Siri and Alexa are examples of weak. Searle contrasts strong AI with “weak AI. The general AI ecosystem classifies these AI efforts into two major buckets: weak (narrow) AI that is focused on one particular problem or task domain, and strong (general) AI that. General (or “strong”) AI General AI is more like what you see in sci-fi films, where. Automate incoming communication channels, monitor databases, react to incoming webhooks, web forms and chat bots. Anything below that confidence level will signal that. weak AI - So, when is a computer system intelligent? We've seen that when a computer system is just matching symbols, it's almost like a high-tech phrase book. Strong AI is essentially the human mind replicated with computers. AGI is also known as strong AI, full AI, human-level AI or general intelligent action. In this article, we will provide a. e. Searle's thought experiment begins with this hypothetical premise: suppose that artificial intelligence research has succeeded in constructing a computer that behaves as if it understands Chinese. Weak AI It used to be the case that researchers would build AI that could play single games, like chess, by training it with specific rules and heuristics. This debate shapes the future of AI research. In any given case, AGI can think, comprehend, and behave in a manner that is distinct from that of a person. Strong AI. People are fascinated by what it does and what it could do. ) Step 2. Strong AI. Proof by strong induction. Based on capabilities, there are three types of artificial intelligence. Strong AI vs. There are 3 types of artificial intelligence (AI): narrow or weak AI, general or strong AI, and artificial superintelligence. Types of artificial intelligence—weak AI vs. strong AI. dedicated infrastructure d. Weak AI refers to systems that are programmed to solve a wide variety of issues yet only perform a limited set of operations. Strong vs. iocan help in realizing the plan of God 1=I AM. Examples of strong AI include robots that can carry out a variety of tasks such as voice recognition, advanced decision. Strong vs. When researching artificial intelligence, you might have come across the terms “strong” and “weak” AI. The video first divides artificial intelligence into three categories, artificial narrow intelligence, or weak AI; artificial general intelligence (AGI), or strong AI; and finally, artificial superintelligence. Weak AI works through expert systems or with machine learning techniques as seen above. strong AI. Weak (or “narrow”) AI. 3 mins read Exploring the key differences between Strong AI and Weak AI and future potential in AI Strong AI and Weak AI are two intriguing fields of artificial. Match. Current AI models can adapt on their own across domains of data, without intervention. Strong AI is different from. Scientific theoretic reasons could withstand the. The Total Turing Test aims to be a more modern test which requires a much more sophisticated system. The strengths of binary acids increase from top to bottom within the same g Strong AI vs. The weak forms of the functions are allowed to fail spuriously, that is, act as if *obj != *expected even if they are equal. Strong AI not only emulates human-like decision-making but also has the potential to comprehend emotions and exhibit emotional responses. Weak AI, also known as Artificial Narrow Intelligence (ANI), is AI that operates in narrow boundaries. - Weak state. In this video we're going to be learning about the differences between strong and weak artificial indulgens are so. What is AI? The formal definition of AI is the simulation of human intelligence processed by computers. Strong AI vs. According to strong AI, Searle says, “the computer is not merely a tool in the study of the mind, rather the appropriately programmed computer really is a mind in the sense that computers given the right programs can be literally said to understand and have other cognitive states”. 1. ‘Narrow’ might be a more accurate descriptor for this type of AI as it is anything but weak; it enables. strong AI. Weak vs. AGI is also known as strong AI, full AI, human-level AI or general intelligent action. Artificial general intelligence (AGI), also known as strong AI or deep AI, refers to the idea of a machine with general intelligence that can learn and apply its intelligence to solve every problem. Strong AI· Machine learning, neural networks, and deep learning· Natural language processing and computer visionEssential AI Tools and Platforms· TensorFlow and PyTorch· IBM Watson· OpenAI· Microsoft Azure Cognitive Services· Google Cloud AI Real-World AI Applications· Healthcare: Diagnostics and personalized medicine. Artificial intelligence (AI) is a fixture of modern conversations. Within AI, there are two main categories: strong AI and weak AI. 1. Such a system has not yet been developed, and expert opinions differ as if such. weak AI - The philosopher John Searle pointed out that you can think of artificial intelligence in two different ways. Weak AI, on the other hand, is designed to perform a specific task or set of tasks, such as image recognition or language translation. To see how applying a weak learner to an adaptively designed short sequence of distributions can result in a strong learner, we start with a warm up that applies to a specific class of weak-learners. e. With the former, the system has been designed to. According to Taylor. The stronger the typing system is — the stricter the rules are. Weak AI refers to the kinds of artificial intelligence that we’re used to in our day-to-day lives. CLO: 4. It can perform one kind of task but not the other. In the broadest possible sense, artificial intelligence is a machine that's able to learn, make. Strong AI, True AI 약인공지능(Weak AI)에 대비되는 의미로 만들어진 용어이다. General vs. According to this idea, a weak AI is an AI system that. 2. A state that is able to fulfill basic tasks, such as defending. The definition of a strong ai is a very complex, is a very complex algorithm that can help in a variety of scenarios, and it essentially has a mind of its own, similar to basically like a human. General AI vs Narrow AI. In many situations it may not be desirable to have a balance of power. As an AI language model, I can offer suggestions on how Neural. Specific Intelligence: Strong AI is designed to possess general intelligence, which means it can understand and perform any intellectual task that a human being can do. It has no self-awareness. A diphthong is a sound formed by two vowels in a single syllable. O Al models have surpassed human capabilities to evolve and change. Although it lacks human-like understanding and problem-solving abilities, it shows promise in bridging the. In healthcare, it can enhance the accuracy of imaging-based diagnoses. Terms in this set (12) What is intelligence? - Intelligence testing (like WM span testing) mostly concerned with differences in intellectual ability4 main types of artificial intelligence. Deep learning is a subfield of machine learning, and neural networks make up the backbone of deep learning algorithms. Strong vs. Specific in the sense that we are. Therefore everything is weak AI or less.