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As we all know Computer is an electronic device that accept data as input process the data through a set of installed instructions and give the result as output.
For everyday there is improvement in technology because lots added to what we already know, therefore there is every need for us to keep ourselves updated on the latest things. Now Artificial intelligence applications are all around us, but what does it really mean?
Artificial intelligence (AI) is the ability of machines to replicate or enhance human intellect, such as reasoning and learning from experience. Artificial intelligence has been used in computer programs for years, but it is now applied to many other products and services.
For example, some digital cameras can determine what objects are present in an image using artificial intelligence software.
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Artificial intelligence (AI), also known as machine intelligence, is a branch of computer science that focuses on building and managing technology that can learn to autonomously make decisions and carry out actions on behalf of a human being.
AI is not a single technology. Instead, it is an umbrella term that includes any type of software or hardware component that supports machine learning, computer vision, natural language understanding, natural language generation, natural language processing and robotics.
Today’s AI uses conventional CMOS hardware and the same basic algorithmic functions that drive traditional software. Future generations of AI are expected to inspire new types of brain-inspired circuits and architectures that can make data-driven decisions faster and more accurately than a human being can.
AI Use Cases in Business
AI is currently being applied to a range of functions both in the lab and in commercial/consumer settings, including the following technologies:
Speech Recognition allows an intelligent system to convert human speech into text or code.
Natural Language Generation enables conversational interaction between humans and computers.
Computer Vision allows a machine to scan an image and use comparative analysis to identify objects in the image.
Machine learning focuses on building algorithmic models that can identify patterns and relationships in data.
Expert systems gain knowledge about a specific subject and can solve problems as accurately as a human expert on this subject.
At its heart, AI uses the same basic algorithmic functions that drive traditional software, but applies them in a different way. Perhaps the most revolutionary aspect of AI is that it allows software to rewrite itself as it adapts to its environment.
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