What is artificial intelligence? | |
Artificial intelligence is the use of computer systems to perform tasks that typically require human intelligence, such as visual perception, speech, translation, decision-making, and problem-solving. How does AI work? AI combines large sets of data with intelligent, repetitive processing algorithms to learn from patterns and features within the data being analyzed. The AI continuously processes and learns from the data. Within each round of data processing, the AI system tests and measures its own performance to gain additional expertise. AI can run through thousands, even millions, of tasks repeatedly — improving its performance in a short amount of time. However, there are multiple kinds of AI, each with its capabilities and limitations. What are the four types of artificial intelligence? The four types of artificial intelligence are reactive, limited memory, theory of mind, and self-awareness. Reactive A reactive AI can only use its intelligence to react and reply to the world around it. It can't store memory; therefore, it can't rely on past experiences to inform real-time decision-making or problem-solving. Reactive machines can only complete a finite amount of specialized tasks. Though this may sound like a drawback, it has its perks. A reactive AI will react the same way to the same stimuli every time — making it reliable and trustworthy. One of the most famous examples of reactive AI is Deep Blue, a supercomputer created by IMB in the 1990s that won a chess match against chess champion Garry Kasparov. Deep Blue could identify the chess board pieces and how each piece could move based on the game's rules. However, the AI could not try to anticipate its opponent's next move, nor could it think of ways to put its piece in a better position. Limited Memory Limited memory AI stores previous data and predictions and uses it for decision-making — looking into past data to predict the future. Limited memory AI is when a machine learning model is continuously trained to analyze and use new data. Limited-memory AI consists of six steps to follow. 1. Create the training data. 2. Create the machine learning model. 3. Enable the model to make predictions. 4. Have the model receive human or environmental feedback. 5. Store the feedback as data. 6. Repeat all the above steps in a cycle. Examples of limited memory AI are self-driving cars. Self-driving cars identify civilians crossing the street, traffic signals, and other data to make better driving decisions and avoid future accidents. Another example of limited memory AI is HubSpot's adaptive testing tool. The adaptive testing feature splits traffic evenly between page variations at first. As HubSpot learns how these variations are performing, we adjust the traffic automatically, so optimal-performing variations are shown more than the poorly-performing ones. Theory of Mind Theory of mind AI is as it sounds — theoretical. AI has not yet advanced to this type, so theory of mind is still in its innovation stage. This type of AI interacts with the thoughts and emotions of humans. Theory of mind will better understand the entities they interact with so they can understand their needs, beliefs, feelings, and thought processes. For example, we now know that self-driving cars are a form of limited mind AI. If these autonomous cars could analyze and understand their drivers' mental and emotional states to improve safety, they would evolve into Theory of Mind AI. Self-awareness Once theory of mind is a reality, the next type of AI to emerge will be self-awareness. At this point, machines won't just be aware of humans' emotions and mental states — they'll also be aware of their own. A self-aware AI will have a human-like consciousness and understand its existence in the world and with others. For more details on our products and services, please feel free to visit us at: Article Writing Services, Content Writing Services, Blog Writing Services, Press Release Submission Services & Press Release Writing. Please feel free to visit us at: https://webigg.com/ | |
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