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AI is a type of computer system that works seamlessly with humans. It can perform various tasks related to human intelligence, such as natural language processing and speech recognition.
How Does AI Work?
As the hype around AI has grown, many companies have started to promote how they use AI. Most of the time, AI is simply a component of a machine learning system.
AI systems typically ingest large amounts of data, analyze it for patterns and correlations, and make predictions about the future. They can also learn to produce lifelike exchanges and identify objects in images.
Importance of AI
AI is beneficial for businesses as it can give them better insights into their operations. It can map out areas of weakness or provide them with suggestions on how to improve them. It can also perform repetitive tasks that are usually handled by humans.
The explosion in efficiency that's been caused by the rise of AI has opened up new business opportunities for enterprises. One example of this is Uber, which uses AI to predict when people are most likely to need a ride.
Advantages & disadvantages of AI
Deep learning and artificial neural networks are two of the most promising technologies for developing AI.
While it's possible to collect vast amounts of data daily, the process of processing it requires a lot of effort and resources. AI applications can learn and turn it into actionable information.
Advantages: Good at handling complex tasks that require minimal data-heavy work. Its virtual agents are always available.
Disadvantages: AI tools require deep technical expertise and a limited supply of qualified workers. This is not an easy task to do, and the skills needed to build them are typically not transferable to other tasks.
4 Types of AI
Type 1: Reactive Machines: Unlike humans, AI systems have no memory. For instance, IBM's Deep Blue, which was able to beat Garry Kasparov in the 1990s, cannot use past experiences to predict future games.
Type 2: Limited Memory: Developers of self-driving cars are working on systems that can store and use past experiences to make future decisions.
Type 3: Theory of Mind: Theory of mind is a psychological term that refers to an AI system that can understand emotions. This capability would be useful for developing human-like AI systems that can predict and act on behalf of people.
Type 4: Self-Awareness: AI systems with a sense of self can have a perception of their own consciousness. They can then understand their current state.
Examples of AI Technology
Automation: When used with AI, robotic process automation can expand the types of tasks that can be performed. It can also provide intelligence to the bots through their actions.
Machine Learning: Deep learning is a discipline focused on learning how to get a computer to act autonomously. It is a subset of Machine Learning that is used for analyzing and predicting big data.
Machine Vision: Machine vision is a technology that enables a machine to see clearly in real-world conditions. It uses a combination of camera, analog to digital conversion, and signal processing. It is commonly used in healthcare and security applications.
Natural Language Processing: Natural Language Processing is a process utilized by a computer program to process human language. One example of this is spam detection.
Robotics: Engineering is focused on the design and development of robots. They are often used to perform difficult and repetitive tasks.
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