ARTIFICIAL INTELLIGENCE
Karthika Devi
adept|optimistic|diligent learner of python|UI/UX designer|SQL learner|learning R program|an hardworker|creative thinker|district level volleyball player|student at SNS college of engineering
Hey my connections, I am here to share an article about an artificial intelligence.
ARTIFICIAL INTELLIGENCE:
Artificial intelligence (AI) is defined a the intelligence of a machine or computer that enables to imitate or mimic human capabilities. This article explains about the fundamentals of AI, it's various types, goals, key challenges, and the top five AI trends.AI uses multiple technologies that equip machines to sense, comprehend, plan, act, and learn with human like levels of intelligence.
HOW DOES AI WORKS?
To begin with, an AI system accepts data input in the form of speech, text, image, etc.. The system the processes data by applying various rules and algorithms, interpreting, predicting, and acting on the input data. The system uses its assessments to adjust input data, rules, and algorithms, and target outcomes. This loop continues until the desired is achieved.
KEY COMPONENETS OF AI:
the key components of AI are, Machine learning, deep learning, neural network, cognitive computing, natural language processing, and computer version.
1.MACHINE LEARNING:
Machine learning is an AI application that automatically learns and improves from previous sets of experiences without the requirement for explicit programming.
2.DEEP LEARNING:
Deep learning is a subset of ML that learns by processing data with the help of artificial networks.
3.NEURAL NETWORK:
Neural networks are computer systems that are loosely modeled on neural connections in the human brain and enables deep learning.
4.COGNITIVE COMPUTING:
Cognitive computing aims to recreate the human thought process in computer model. I t helps to improve the interaction between humans and machines by understanding the human language and the meaning of images.
5.NATURAL LANGUAGE PROCESSING(NLP):
NLP is a tool that allows computers to interpret, recognize and produce human language and speech.
6.COMPUTER VISION:
It employs deep learning and pattern identification to interpret image content.
TYPES OF AI:
AI types based on capabilities are classified into three namely, Narrow AI, General AI, Super AI.
AI types based on functionalities are classified into four namely, Reactive machines, Limited memory machines, Theory of mind, Self ware AI.
GOALS OF AI:
1.Develop problem solving ability.
2.Incorporate knowledge presentation.
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3.Facilitate planning.
4.Allows continuous learning.
5.Encourage social intelligence.
6.Promote creativity.
7.Achieve general intelligence.
8.Promote synergy between humans and AI
KEY CHALLENGES OF AI:
1.AI algorithm bias.
2.Black box problem.
3.Requirement of high computing power.
4.Complicated AI integration.
5.Lack of understanding of implementation strategies.
6.Legal concerns.
TOP FIVE AI TRENDS:
1.Computer vision set to grow.
2.Boost to autonomous vehicle industry.
3.Chatbots and virtual assistants to get smarter.
4.Solutions for metaverse.
5.Improved language modeling.
CONCLUSION:
AI holds the key to unlocking a magnificent future where, driven by data and computers that understand our world, we will all make more informed decisions. These computers of the future will understand not just how to turn on the switches but why the switches need to be turned on. Finally, human intelligence can be defined in a way that a machine can easily mimic it and executes tasks, from the most simple to those that are even more complex.