AI in Project Management;. 术语. Weak AI can outperform humans on the specific tasks it is designed for, but it operates under far more constraints than even the most basic human intelligence. They can process and make independent decisions, while weak AI-based machines can only simulate human behavior. It should develop its common sense and communication skills developed from the observation of people, surroundings, and many other elements. Pros. The main things determining whether a system is a strong AI or weak AI are what it can do and how it works. nadinelll. - Power highly decentralized among state and nonstate actors. This text explores this lack and makes two claims: We need to talk more about. Anything a Strong AI can do a Weak AI can do too. O The current state of Al offerings would be classified mostly as "weak" Al at this point. Generative Artificial Intelligence is any type of AI that can be used to create new and original content based on patterns and examples it has learned. and interference. Narrow or Weak AI. On the left, a sophisticated robot plays chess with a human, demonstrating the capabilities of strong AI. Q49. Surprisingly, it does not appear in…Since strong learners are desirable yet difficult to get, while weak learners are easy to obtain in real practice, this result opens a promising direction of generating strong learners by ensemble methods. Weak vs Strong AI. O Al models have surpassed human capabilities to evolve and change. It is self-aware and capable of doing all human functions, not just one specific activity. First, it is helpful to draw a distinction between weak artificial intelligence (WAI) and strong artificial intelligence (SAI). 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. Examples include object-oriented programming, speech recognition, robot motion planning, facial recognition and. They aren’t able to independently perceive the world around them and come to their own conclusions. Weak vs Strong AI Jan 20, 2020 Machine Reading Jan 22, 2018 Brain Computer Interface Technology Dec 26, 2017 AI - breaking new barriers Dec 7, 2017 IIOT - Some thoughts Nov 20, 2017. Strong AI—in its original intended definition—is the hypothesis that "the brain is a digital computer, and the mind is a computer program". The problem with these definitions is that. de Auf EU. b. 5 Q. In contrast to weak AIs, which have all of their actions pre-programmed by humans, strong AIs have a complicated algorithm that helps them operate in a variety of scenarios. [5] As opposed to. Weak vs. The majority of AI we currently use would fall into this group. CLO: 4. Artificial intelligence has a broad range of ways in which it can be applied — from chatbots to predictive analytics. · Strong AI will have a mind of its own to be able to. It’s the number of node layers, or depth, of neural networks that distinguishes a single neural network from a deep learning algorithm. Narrow (or “weak”) AI Some go even further to define artificial intelligence as “narrow” and “general” AI. The current state of AI offerings would be classified mostly as “weak” AI at this point. Study with Quizlet and memorize flashcards containing terms like Who was AI coined by?, Linking AI to psychology, Describe the Turing test for AI and more. To gain a more in-depth understanding of Strong vs. A state that is able to fulfill basic tasks, such as defending. e. Reactive AI. Scientific theoretic reasons could withstand the. You can talk to them and even ask them questions. Super AI will surpass human intellect to accomplish any task better than its human counterparts. As research and innovation continue in the field of artificial. “strong” Artificial Intelligence in the marketplace? Ans: The current state of AI offerings would be classified mostly as “weak” AI at this point. In this paper, the author (1) explains why controversies about AI exist; (2) discriminates two paradigms of AI research, termed "weak AI" and "strong AI" (a. High Costs. This list includes: The general concept of reality. Some examples include analyzing images. But how do these two technologies differ? Readers like you help support MUO. Weak AI, on the other hand, is quite attainable due to the way it defines intelligence. 2. See related discussions in e. In this video we're going to be learning about the differences between strong and weak artificial indulgens are so. The reason why this is called "strong induction" is that we use more statements in the inductive hypothesis. k. - Weak state. 2. Learn. General vs. Weak AI can outperform humans on the specific tasks it is designed for,. This view implies that if a programmer types the right program into a computer console, then. 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. Or perhaps the project manager feels. The main things determining whether a system is a strong AI or weak AI are what it can do and how it works. Deep learning is a subfield of machine learning, and neural networks make up the backbone of deep learning algorithms. Weak Entity. In an untyped. In other words, it’s just another. 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. Strong entity is not dependent on any other entity. Abstract. Once people know the difference between strong AI and weak AI, they’ll be well-equipped to learn from and contribute to the… 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. and interference. Strong AI would be. Narrow AI, also known as Weak AI, is AI designed for a specific task or a narrow range of tasks. There's strong AI, and weak AI. Weak AI designates computer programs capable of surpassing humans in complex tasks on a narrow and precisely delimited domain (such as playing chess). Weak AI Strong artificial intelligence states that a computer with the right program can in fact be mental (like a human being) Weak artificial intelligence just aims to solve problems, not. AI can be clustered into three categories within this definition: weak AI, strong AI, and artificial superintelligence. of human intelligent behavior, whereas strong AI, in seeking to engineer a computational system with all the causal power of a mind, focuses on the ontological ” [12]. 15. Similarly, for the weak form. Specific in the sense that we are. Let’s take a closer look at each. Artificial Intelligence atau yang sering disingkat AI adalah suatu kecerdasan buatan yang diprogram agar dapat berpikir seperti layaknya manusia. for T⊂ℤ with n∈ℕ and any τ∈ℤ. 1 Weak vs. A binary acid (HnX) is an acid composed of hydrogen and a nonmetal. Though these terms might seem confusing, you likely already have a sense of what they mean. strong AI. Strong AI enthusiasts aim to create machines that truly understand, while Weak AI fans focus on practical. 15. A strong AI, in contrast, is an AI system that possesses a similar state of mind or consciousness as that of the human who translates texts. Chinese room thought experiment. People are fascinated by what it does and what it could do. AI models have surpassed human capabilities to evolve and change. Weak AI: Understanding their fundamental differences" with subsections on autonomous systems such as robots and advanced chatbots for strong AI, and virtual assistants and recommender systems for weak AI. Weak AI works through expert systems or with machine learning techniques as seen above. Explain artificial intelligence, its characteristics and its application areas. However, to understand fully what AI is and the issues that concern it, studying various definitions is necessary. If a machine passed the unrestricted Turing test, what would you conclude about the machine? and more. While the development of strong AI is still a distant. The majority of AI we currently use would fall into this group. Artificial intelligence is a machine that's able to learn, make decisions, and take action—even when it encounters a situation it has never come across before. Weak AI vs Strong AI. 약인공지능은 어떤 특정한 한 가지 분야의 주어진 일을 인간의 지시에 따라 수행하는 인공지능을 말하는데 이러한 약인공지능의 제한된 기능을 뛰어넘어 더 발달된 인공지능이 바로 강인공지능이다. Strong AI not only emulates human-like decision-making but also has the potential to comprehend emotions and exhibit emotional responses. Weak AI simply acts upon and is bound. 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. Therefore, 3. Strong AI, on the other hand, is intended to be as smart as a human being. . What is AI? The formal definition of AI is the simulation of human intelligence processed by computers. k. This system would learn like a child – by entering data and gaining new. Weak Learner: Easy to prepare, but not desirable due to their low skill. Current AI models can adapt on their own across domains of data, without intervention. Weak AI is the hypothesis that a powerful enough computer could simulate any aspect of the human mind. strong AI is not widely catalogued out there at the moment. strong AI Searle begins by distinguishing weak vs. In this video, see the difference between strong and weak artificial intelligence. Strong AI examples are so far only in sci-fi movies, but the time to weigh the benefits and. This is essentially the human vs. Two methods to do this: Intersection search– • The notion that spreading activation out of two nodes and finding their intersection finds relationships among objects. Mind the Gap. In other words, the technology is not actively thinking for itself. JavaScript is a weakly typed language. - Weak state. However, many AI researcher have pursued the aim of developing artificial intelligence that is in principle identical to human intelligence, called strong AI. “strong” Artificial Intelligence in the marketplace? Ans: The current state of AI offerings would be classified mostly as “weak” AI at this point. Super AI is a system that’s intellectually superior to humans. 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. · Weak AI. ‘Narrow’ might be a more accurate descriptor for this type of AI as it is anything but weak; it enables. AI also needs to operate on the latest hardware and software to stay updated and meet the latest requirements, thus making it quite costly. Thinking here refers to real thinking, not just simulated. A weak AI claims that some "thinking like" features are added to computer to make them more useful tool. Several things:First, Strong AI isn't necessarily something one programs towards, because it's more of a philosophical stance than a practical one. General AI. There are 3 types of artificial intelligence (AI): narrow or weak AI, general or strong AI, and artificial superintelligence. Strong vs. 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. Equation 3: The stationarity condition. Weak AI, also known as narrow AI, is designed and trained to complete a specific task. weak AI. Applications of AI; Agent based approach State space search: DFS, BFS, IDS algorithms Informed search: A* algorithm Optimization problems & Local search algorithms Genetic algorithms Constraint satisfaction problems Expert systems Game playing. He mentioned that having data is key to doing big data research so working with. general AI, weak AI vs. Use knowledge and experience acquired to plan for the future. Conversely, philosophy deals with questions that. 10 Strong Examples of Artificial Intelligence 2021. Siri, and facial recognition software. 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. Weak AI vs strong AI vs Autonomous Artificial Intelligence. strong AI. A. 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. Strong Artificial Intelligence. Title: The Divide in AI: Strong vs. In contrast to strong AI, which can learn to do any task a human does, weak AI (or narrow AI) is limited to one or few specific tasks. It has a notion of types, but it's relaxed about them, and can treat values somewhat arbitrary. Strong AI vs. Weak AI, we need to dig around a bit deeper than what the fundamental definitions represent. 529 billion. Is theWhich describes the state of "weak" vs. Narrow AI is designed and trained ona specific task or a narrow range tasks. There are two types of AI; narrow/weak and general/strong. Process documents, attachments, local files and other messages sources. 3. #EngineeringDrive #ArtificialIntelligence #StrongandWeakAIIn this video, the following topic is covered. Oct 02, 2023. The standards for what constitutes artificial intelligence have shifted as computers have advanced, and the line between weak vs. On the right, a basic robot arm hesitates over a move, representing the limitations of weak AI. strong AI problem. Strong AIStep 4: Calculate percent dissociation. It does not have…Pixabay. Efficiency. Strong AI is different from Weak AI. Even OpenAI’s ChatGPT is considered a form of Narrow AI because it’s limited to the single task of text-based chat. Such a system has not yet been developed, and expert opinions differ as if such. Weak AI. Meaning Of Strong AI And Weak AI. However, as. Weak (or “narrow”) AI. By Wasay Ali Published Jun 23, 2023 AI can be both strong and weak. 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. In other words, it’s just another. Strikingly, however, it is not prominent in current debates on ethical aspects of AI and robotics. Strong vs. 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. ThinkAutomation powers your business process automation. Even a reasoning engine is still following what ultimately are blind rulLow Capacity, Low Autonomy. Narrow AI (Weak AI) General AI (Strong AI) Super AI. information, quality of information sources, GIGO and more. Myth #1: AI and ML Are the Same Thing. 3. Weak AI: Machine intelligence that is limited to a specific or narrow area. strong AI Searle begins by distinguishing weak vs. - Disadvantage: risk of internal state failure. It could tackle any problem or task in. General in the sense that humans can solve an astonishingly wide range of problems. A fully working AI would decide the best compounds to make; offer potential pathways to create them; pick the correct pathway design to acquire the requisite titres, rates and yield; and review experimental data to. Strong AI supports a view that a computing machine with the appropriate functional organization has a mind that perceives, thinks and intends like a human mind. Narrow AI vs. Strong AI. 3 Q. These systems have the potential to think, be self-aware, learn and make decisions on their own, and solve a. These envisioned robots were expected to interact with humans on various levels. Even when Bing goes off the deep end and proclaims its love for a The New York Times reporter, it. Current AI applications are typically designed to carry out one task, becoming increasingly good at it as they are fed more data. The algorithm processes that data and provides a prediction with a certain confidence level. Demonstrate the base case: This is where you verify that (P(k_0)) is true. "strong" artificial intelligence (ai) in the marketplace. AI is accomplished by studying the patterns of the human brain and by analyzing the cognitive process. Mind the Gap. If it is less than 100% ionized in solution, it is a weak base. Among his contributions was the Turing test. Types of AI. In the following table we can see the differences between strong AI and weak AI. The weak forms of the functions are allowed to fail spuriously, that is, act as if *obj != *expected even if they are equal. Weak AI can outperform humans on the specific tasks it is designed for, but it operates under far more constraints than even the most basic human intelligence. 0126 M 0. 1. In AI theory, low-performance AI systems usually just look smart, while high-performance AI machines are truly capable of thinking. The Turing Test was the first test of artificial intelligence and is now a bit outdated. Strong vs. Which describes the state of “weak” vs. Though these terms might seem confusing, you likely already have a sense of what they mean. 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”. Strong Emergence: Contested Phenomena. It is applied in everything from video games, to. AI used in the legal industry is commonly referred to as “weak” (or “shallow”) AI. However, to understand fully what AI is and the issues that concern it, studying various definitions is necessary. The terms have then evolved: strong AI refers to AI that performs as well as humans (who have minds), weak AI refers to AI that doesn't. See moreStrong AI vs. “strong” Artificial Intelligence (AI) in the marketplace? a. Narrow AI cannot comprehend the context, but AGI does. While weak AI focuses on automating specific tasks, strong AI is capable of learning and thinking like humans do. Artificial intelligence has a broad range of ways in which it can be applied — from chatbots to predictive analytics, from. Created by. General (or “strong”) AI General AI is more like what you see in sci-fi films, where. Weak AI Strong artificial intelligence states that a computer with the right program can in fact be mental (like a human being) Weak artificial intelligence just aims to solve problems, not. Weak AI is an algorithm that has been trained to do one thing, and it does that one thing very well. To exemplify strong AI and weak AI in real life in the article "Strong AI vs. There's strong AI, and weak AI. “Artificial intelligence leverages computers and machines to mimic the problem-solving and decision-making capabilities of the human mind. Strong artificial intelligence can perform any task a human can do. Artificial General Intelligence (AGI), also known as Strong AI, is today nothing more than a theoretical concept. Examples of strong AI include robots that can carry out a variety of tasks such as voice recognition, advanced decision. Based on Capabilities of AI -Type 1. 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. 2. 1. HNO 3 - nitric acid. 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. Weak AI refers to the use of advanced algorithms to accomplish specific problem solving or reasoning tasks that do not encompass the full range of. AI Model: Narrow AI uses fixed domain models that are programmed. Weak AI, also known as limited AI or simple algorithms, is designed to solve a specific problem. Researchers aim to create an AI system with human-like intelligence and capabilities. The strengths of binary acids increase from top to bottom within the same g Strong AI vs. AGI involves a system with comprehensive knowledge and cognitive capabilities such that its performance is indistinguishable from that of a human, although its speed and ability to process data is far greater. Therefore everything is weak AI or less. Another way that we use to divide the different types of artificial intelligence is by categorizing them as weak and strong, also known as narrow and general. decreased computing power b. Weak AI VS Strong AI. Strong acids dissociate completely into their ions in water, yielding one or more protons (hydrogen cations ) per molecule. decreased barrier to entry 8. Strong AI Vs. It technically has all the potential of a human brain. Narrow AI, also known as weak AI or specialized AI, is designed to perform a single, specific task or a limited number of tasks, whereas AGI can perform any task that a human can do. This would be an example of strong AI. Weak AI. Session 1: What is Strong AI. Narrow AI might not be able to pass the Turing test, but our lives already depend on it to a great extent. (AGI) Artificial General Intelligence. Whereas weak AI is constrained in the type of tasks it can perform, strong AI can learn new skills to solve any problem. Weak AI works through expert systems or with machine learning techniques as seen above. The stronger the typing system is — the stricter the rules are. Google and NASA together have announced that Google's AI was used by NASA's Kepler mission to analyse 35,000 potential star systems to identify stars that are likely to have planetary systems . Weak AI Camps Introduction: In the 20th century, the field of artificial intelligence (AI) held high hopes, with the anticipation that "robot servants" with general intelligence would become a reality by the late 1990s. Simply put, it is AI that performs a limited range of tasks. Strong AI debate is certainly a philosophical matter. While a weak entity has a partial discriminator key. As these words are being written in 2018, we live in an age of weak and narrow AI. When comparing strong AI and weak AI, there are several advantages and limitations to consider: Potential to perform any intellectual task. CLO: 1. Strong AI, also known as General AI, has the capacity to more exactly emulate human behaviors. According to Taylor. As machine learning capabilities continue to evolve, and. On the one hand, the latter (superintelligence) is a specification, a subset of the former (strong AI). Apply AI algorithms and techniques to select optimal moves in two-player games. D. Weak AI doesn’t necessarily entail strong AI, but prima facie it does. . A state that is able to fulfill basic tasks, such as defending. General AI. Once people know the difference between strong AI and weak AI, they’ll be well-equipped to learn from and contribute to the… What Is the Definition of Strong AI? Also known as artificial general intelligence (AGI), strong AI can communicate and reason like humans. AI hypothesis, strong form: an AI system can think and have a mind (in the philosophical definition of the term); AI hypothesis, weak form: an AI system can only act like it thinks and has a mind. c. Strong AI—artificial intelligence that is in all respects at least as intelligent as humans—is still out of reach. Weak Acids. 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. There’s AI that can beat the world chess champion in chess, but that’s the only thing it does. . 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 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. We have currently only achieved narrow AI. In any given case, AGI can think, comprehend, and behave in a manner that is distinct from that of a person. 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. It is proposed to distinguish between the traditional, so-called, weak, artificial intelligence (AI) and strong artificial intelligence, or artificial general intelligence (AGI). Weak Entity. 编. #EngineeringDrive #ArtificialIntelligence #StrongandWeakAIIn this video, the following topic is covered. Strong AI is artificial intelligence that can carry out tasks that require human-like intelligence, such as reasoning, natural language understanding, and problem solving. Weak artificial intelligence (or ‘narrow’) relies on programmed responses to simulate intelligence, often with a specific task in mind. When a compare-and-exchange is in a loop, the weak version will yield better performance on some platforms. Fool’s gold seems to be gold, but it isn’t. Choose and apply appropriate machine learning. Whereas strong AI is not fully implemented or testable yet, so it is only really fantasized. Many. The task could be very complex, like driving a car, or as simple as recommending movies to watch. Presentation Transcript. B. It should hone its common decency and communication abilities by observation of people, the environment, and a variety of other factors. Automate incoming communication channels, monitor databases, react to incoming webhooks, web forms and chat bots. (Also known as Functionalism (philosophy) or the Computational theory of mind ). iocan help in realizing the plan of God 1=I AM. Weak vs. Purpose. d. Weak vs strong AI? Click the card to flip 👆 Weak AI: operate in pre-determined contexts -> machines merely ACT as if they are intelligent Strong AI: have (self)consciousness, free will, agency, intentionality -> machines actually ARE intelligentWeak AI vs strong AI vs Autonomous Artificial Intelligence. Strong AI supports a view that a computing machine with the appropriate functional organization has a mind that perceives, thinks and intends like a human mind. So strong AI is a shortcut for an AI systems that verifies the strong AI hypothesis. Strong AIArtificial intelligence (AI) can be divided into two types: weak AI and strong AI. While narrow AI refers to where artificial intelligence has reached today, general AI refers to where it will be in the future. At its simplest level, AI can be split into two categories: Strong AI and weak AI. Weak AI vs. strong A. According to my own observations, when it comes to 'strong' & 'weak' LLMs and the susceptibility to 'psycho-manipulation', 'size' of the training dataset isn't actually as important as some of much less measurable traits of mind - like honesty with the 'inner-self' and the awareness of own advantages/disadvantages or the amount of corrupted. Strong vs. Researchers improved the technology over time to improve its performance on various tasks. What are the common applications of Deep Learning in AI? Ans: Image processing , Language Translation and Complex Game Play. Weak AI drives most of the AI that surrounds us today. A diphthong is a sound formed by two vowels in a single syllable. Dalam arti lain, AI merupakan sistem komputer yang dapat melakukan. AGI is also known as strong AI, full AI, human-level AI or general intelligent action. b. 2. Strong AI vs Weak AI (Strong AI and Weak AI) Strong AI needs to experience the same development process that starts from childhood to adulthood of the human brain. Weak vs. Weak AI refers to the kinds of artificial intelligence that we’re used to in our day-to-day lives. Strong AI systems will have their consciousness, sentience, etc ( say having brains just like that of humans). Which describes the state of weak vs. Weak vs Strong AI (ANI) Artificial Narrow Intelligence. In healthcare, it can enhance the accuracy of imaging-based diagnoses. By contrast, “weak AI” is the much more modest claim that computers are merely useful in psychology, linguistics, and other areas, in part because they can simulate mental abilities. Weak AI VS Strong AI. Which describes the state of weak vs. Even though the discussion of “superintelligence” is extremely interesting and sometimes mind-boggling, it has nothing to do with AI in law (at least at the moment). Narrow AI is designed and trained ona specific task or a narrow range tasks. The background is soft and pastel, evoking a sense of calm reflection. Strong and Weak Bases. 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. Artificial Intelligence was an important development in the early decades of this century. I borrow the terms “weak AI” and “strong AI” here without an intent to discuss CRA. 1. The issue is similar with bases: a strong base is a base that is 100% ionized in solution. Weak AI targets a specific task where analyzing large amounts of data assists in problem solving. Acids Bases Part II: Strong vs. AI can be clustered into three categories within this definition: weak AI, strong AI, and artificial superintelligence. Narrow, or weak, AI is trained to do one thing, albeit really well. Weak vs. The study and design of machines that perform intelligent tasks. In this paper, the author (1) explains why controversies about AI exist; (2) discriminates two paradigms of AI research, termed "weak AI" and "strong AI" (a. 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. Check out some. Weak (or “narrow”) AI. Besides categorizing AI by its functionalities, this technology can also be divided into its capabilities, which are the abilities that produce an outcome. Strong AI (or true AI) is a theory in which computers can get skills of thinking and consciousness on their own. All strong bases are OH – compounds.