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Artificial Intelligence: Its Overview And Understanding Its Uses

Hello, Everyone!


Today, cutting-edge software and Artificial Intelligence have completely revolutionized the world. There is a wave of advanced technologies transforming our lives with very little human engagement. Sounds Interesting! Surely it does.


So let's overview this world-class technology, delve into its functioning, and learn how it is leveraged in our daily lives.


Artificial Intelligence(AI): Artificial Intelligence or simply AI refers to the duplication of human cognitive functions such as perception, mental attention, memorization of data, language perception,problem-solving, reasoning, and learning; and human intellects by machines or devices specifically computing devices. Artificial Intelligence performs by archiving data from many sources such as sensors and the Internet and organizing it by removing errors from the data archived such as noise or addressing missing data. The AI models are trained by leveraging specific algorithms to analyze the collected data and then deliver insights. After completion of training, these AI systems or models use their expertise to perform human tasks without any human involvement.



Artificial Intelligence has now become a trendsetter through its cutting-edge algorithms to examine large amounts of data and its versatility and wide-operability have positioned it as pioneering technology in shaping developments among diverse industries.
Artificial Intelligence has now become a trendsetter through its cutting-edge algorithms to examine large amounts of data and its versatility and wide-operability have positioned it as pioneering technology in shaping developments among diverse industries.


But what are AI models? These are specific computational representations or structures in simple terms referred to as mathematical representations, equations, parameters, and algorithms existing as software components that are engineered to do certain tasks, by leveraging machine learning algorithms i.e computational methods or what we say algorithmic processes which are used to refine data and comprehend patterns or relationships.AI models are not physical entities or computer systems or Computer hardware but are mathematical representations that exist as software constructs.


Functioning Of Artificial Intelligence: As we know AI functions by leveraging computer systems to replicate human intellect.

So let us understand step by step, the functions of Artificial Intelligence:


  1. Accumulation Of Data: Data is largely accumulated for the training of AI models for obtaining information and rendering decisions. The data being accumulated is derived from multiple sources for instance sensors, cameras, databases, the internet, or other online sources.

  2. Refining Of Accumulated Data: Before the data analysis by specific algorithms, the accumulated data must be refined or filtered by performing three tasks: firstly cleaning of data by removing noise, secondly organizing or streamlining the cleaned data by tackling issues like missing data, and thirdly preparing this streamlined data for analysis by the algorithms, by converting the streamlined data into a specific format which AI algorithms can easily comprehend.

  3. Training of AI models: AI models(computational representations existing as software components) are instructed using machine learning algorithms, which are computational procedures used by AI models to organize data and learn patterns or relationships or perform tasks autonomously. In the training process, the AI system is fed with labeled data having input-output pairs and comprehends to identify patterns or relationships within the data. In the training process, the parameters of the AI models are adjusted to achieve minimum errors and enhanced performance.

  4. Inference (Deployment of AI model): After the AI model is trained it is deployed to make interpretations or decisions on the new unencountered data. The process of taking input to render output based on learned patterns is called Inference.

  5. Feedback Loop(Closed Loop Learning): There is a feedback loop in a few AI models, wherein a part of the output or the entire output of the AI model is fed as input of the AI model for enhancing the functioning of the AI model. So in a nutshell we could say that AI systems leverage machine learning algorithms or computational techniques to organize data, understand it, and then make anticipations or render decisions.



Types of Artificial Intelligence:


1. Weak AI or Narrow AI or Narrow Artificial Intelligence(NAI): This type of AI is deployed for performing particular tasks and this type of AI backs some robust applications like Apple Siri, Amazon's Alexa, IBM's Watnoax, and autonomous vehicles.


2. Strong AI: Strong Artificial Intelligence(SAI) is a melange of artificial general Intelligence (AGI) and Artificial Super Intelligence (ASI).


Artificial General Intelligence (AGI) or what we can say AI is a replication of human intellect in a machine loaded with features like self-awareness with awareness to do multiple tasks like problem-solving -learning, and planning for the future.


ASI also abbreviated for Artificial Super Intelligence mentioned Superintelligence is a hypothetical software-based Artificial Intelligence system with the intellect of par human. To our awe, it has extremely advanced cognitive functions and sophisticated thinking skills beyond human scope. Being imaginary with no real-life example doesn't defy its importance in the researcher's mind. The researchers are researching its scope for evolution. By far the best reference to ASI would be from Sci-Fi movies such as 2001: A Space Odyssey and Star Wars where the cutting-edge Superhuman HAL, Computer Assistant Rouge, and robot R2D2 would be a few of the references that function beyond human intellect.


Uses Of AI:


A few examples of Artificial Intelligence are:


1. Online Shopping & Advertising: AI is optimally leveraged for rendering individualized recommendations to individuals based on their history of searches and purchases or other activities conducted online and is exhaustively used in commerce for enhancing customer operation and customer experiences by product optimization, price optimization, optimizing inventory levels, enhancing logistics and transportation routes, visual search, marketing automation and many more.


2. Web Search: Through the large input of data furnished by their users, the search engines learn what is to be delivered as an output of the search done.


3. Digital Personal Assistant: It is a software application or a virtual agent for addressing individual queries, tasks, and also organizational activities. Digital Personal assistants use AI, machine language algorithms, and NLP(Natural Language Processing) to comprehend individual user inputs, make observations from the interactions, and deliver appropriate responses or take requisite actions. The smartphone uses AI to deliver services which optimally relevant and have a highly individualized approach. It is common nowadays for virtual assistants to help with suggestions, give answers to the asked questions, and manage daily routines. A few examples of Digital Personal Assistants are Apple's Siri, Microsoft's Cortana, and Amazon's Alexa.


4. Machine Translations: Artificial Intelligence is critical for language translation software whether it is based on spoken or written text to deliver enhanced translations also plays a pivotal in tasks as as automated subtitling. One of the best examples of Machine Translations is Google Translate which utilizes algorithms for the translation of text in diverse languages.


5. Smart Homes, Cities & Infrastructure: A smart home means a home where all the appliances and devices are connected automatically and can be operated from a remote location by an internet connection in a smartphone or tablet or any other device powered by the internet. With an automatic interconnection, the user can control various operations such as temperature, security access, lighting, home theater, and much more remotely from home. It helps users with maximum convenience and cost-saving. Being a part of the Internet Of Things (IoT), the smart home devices function collaboratively, exchanging user data among themselves and performing operations automatedly based on user preferences. Smart cities are urban areas where the integration of technology and data helps enhance the standard of living as well as stewardship and productivity of the urban area. Information and Communication Technology (ICT) as well as the Internet of Things(IoT) are used in smart cities. AI-triggered smart cities can have control of their traffic, and waste, anticipating energy consumption, pollution risks, and environmental effects. Smart city developers aim to control traffic for enhanced connectivity with minimum traffic jams.


6. Cars: Even though automated cars are not commonplace, AI-powered safety functions are extensively used in cars. For example, Navigation is widely AI-powered.


7. Cyber security: It refers to protecting systems, networks, and programs from digital attacks that often target sensitive user information by accessing, changing, and then destroying it, interfering with normal business operations, and demanding payment through threats by leveraging malicious software called ransomware. AI is excellent at examining extensive datasets, recognizing patterns having a possibility of cyber threats, and autonomously responding to cyber threats in an instant.


8. AI against COVID-19: At the time of COVID-19, in airports, and other locations, AI has been extensively used in thermal imaging to combat the COVID-19 pandemic. Besides this other useful cases of deploying AI for tackling, COVID-19 are: disease detection by examining chest X-rays and CT scans for early disease detection, innovating drugs by testing existing drugs or replicating new drug compounds to come up with a significant treatment against deadly Coronavirus, examining a large amount of data based on infection rate, demographics and several diverse factors for faster prediction of the extend of virus and also notifying healthcare initiatives for the people.


9. Combatting Misinformation: By delving into social-media data, figuring out provocative and alarming words, and recognizing authoritative online sources, some AI applications can identify false news and misinformation.


Conclusively we say that AI has now become a trendsetter through its cutting-edge algorithms to examine large amounts of data and its versatility and wide-operability have positioned it as pioneering technology in shaping developments among diverse industries.


Thank You.



 
 
 

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synd.ganesh.57
Mar 21, 2024

Deep-rooted cognizance on AI and well curated blog

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