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Computers and Technology

What is AI?

Artificial intelligence Malaysia (AI) is the technology that enables the invention and deployment of algorithms within a dynamic computing environment to replicate human intelligence processes. Simply described, AI is an attempt to make computers think and behave like humans.

Three critical components are required to accomplish this goal:

Systems of computation
Data collection and data management
Algorithms for advanced artificial intelligence (code)
The more human-like the outcome desired the more data and processing power are required.

What is the origin of artificial intelligence? Artificial Intelligence Malaysia

Humans have been fascinated by the idea of constructing devices that imitate the human brain at least since the first century BCE. In modern times, John McCarthy created the term “artificial intelligence” in 1955. McCarthy and others launched the “Dartmouth Summer Research Project on Artificial Intelligence” in 1956. This foundation paved the way for the development of machine learning, deep learning, predictive analytics, and, most recently, prescriptive analytics. Additionally, it spawned a new branch of study, data science.

What is the significance of artificial intelligence?

Today, the amount of data generated by humans and machines vastly exceeds humans’ capacity for absorbing, interpreting, and making complicated judgments based on that data. Artificial intelligence is the underlying technology for all computer learning and is the future of all complicated decision-making. For instance, the majority of humans can figure out how to avoid losing at tic-tac-toe (noughts and crosses), despite the fact that there are 255,168 possible movements, 46,080 of which result in a draw. With over 500 x 1018, or 500 quintillions, possible moves, far fewer people would be considered great champions of checkers. Computers are incredibly efficient at calculating these combinations and permutations in order to arrive at the optimal decision. AI (and its logical evolution from machine learning) and deep learning are the basic technologies that will shape the future of business decision-making.

Examples of applications of artificial intelligence

Artificial intelligence applications are visible in everyday situations such as financial services fraud detection, retail purchase prediction, and online customer care interactions. Several examples include the following:

Detecting fraud. Artificial intelligence is used in two ways by the financial services business. Credit applications are initially scored using AI to determine creditworthiness. Advanced artificial intelligence algorithms are used to continuously monitor and detect fraudulent payment card activities.
Customer service via the Internet (VCA). Outside of human interaction, call centers utilize VCA to forecast and respond to client inquiries. The first point of contact in a customer support query is voice recognition combined with simulated human discourse. Inquiries of a more complex nature are routes to a human.
When a user initiates a discourse on a webpage via chat (chatbot), the user is frequently talking with a computer powered by specialized artificial intelligence. If the chatbot is unable to interpret or handle the query, a human is summoned to speak directly with the individual.

These unintelligible cases are sent into a machine-learning computing system in order to improve the AI application’s performance during future interactions. Advances in artificial intelligence (AI) for applications such as natural language processing (NLP) and computer vision (CV) are accelerating innovation. It is improving customer experience and lowering costs in industries such as financial services, healthcare, and automotive. By 2022, Gartner predicts that up to 70% of individuals would interact with conversational AI platforms on a daily basis. NLP and CV serve as a vital link between humans and machines: NLP enables computer systems to comprehend human speech, while CV applies machine learning models to images, making it ideal for applications ranging from selfie filters to medical imaging.

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