Should know what is machine learning and artificial intelligence and artificial intelligence (ai) applications and machine learning applications. From personalized recommendations on music and video streaming services to the incoming generation of connected cameras and autonomous cars, AI is changing our lives in ways big and small.
what is machine learning and artificial intelligence and uses :
Artificial intelligence (AI) :-
it is the simulation of human intelligence in machines. that are programmed to think like humans and mimic their actions.
User can sense what’s happening in their environment, realize what those inputs mean, make a decision based on them, and then act.
Machine learning is:-
it is a type of artificial intelligence (AI) that allows software applications to become more accurate at predicting outcomes.
Machine learning algorithms use historical data as input to predict new output values.
it is the study of computer algorithms that improve automatically through experience and by the use of data.
History of AI & ML :
- December 1955 Herbert Simon and Allen Newell develop the Logic Theorist, the first artificial intelligence program, which eventually would prove 38 of the first 52 theorems in Whitehead and Russell’s Principia Mathematica.
- The term Machine Learning (ML) was first used by Arthur Samuel, one of the pioneers of Artificial Intelligence at IBM, in 1959.
- Who is father of ML? : Geoffrey Hinton CC FRS FRSC
- Who is father of AI? : Ohn McCarthy, father of artificial intelligence, in 2006
What is the difference between artificial intelligence and machine learning?
Machine learning is a subset of AI that refers to a machine’s ability to think without being externally programmed.
Traditional devices are programmed with a set of rules for how to act, and then this takes the form of if-then-else statements. But machine learning enables devices to continuously think about how to act based on data they intake.artificial intelligence (ai) applications and machine learning applications
What are Uses Area of Artificial intelligence(ai) ?
Online shopping and advertising
ai is the widely used f personalized recommendations to people, based for example on their previous searches and purchases or other online behavior. AI is hugely important in commerce: optimizing products, planning inventory, logistics etc.
Web search
Search engines learn from the vast input of data, provided by their users to provide relevant search results.
Digital personal assistants
Smartphones use AI to provide services that are as relevant and personalised as possible. Virtual assistants answering questions, providing recommendations and helping organise daily routines have become ubiquitous.
Machine translations
Language translation software, either based on written or spoken text, relies on artificial intelligence to provide and improve translations. This also applies to functions such as automated subtitling.
Smart homes, cities and infrastructure
Smart thermostats learn from our behaviour to save energy, while developers of smart cities hope to regulate traffic to improve connectivity and reduce traffic jams.
Cars
While self-driving vehicles are not yet standard, cars already use AI-powered safety functions.automated sensors that detect possible dangerous situations and accidents.
Navigation is largely AI-powered.
Cybersecurity
AI systems can help recognize and fight cyberattacks and other cyber threats based on the continuous input of data, recognizing patterns, and backtracking the attacks.
Artificial intelligence against Covid-19
AI has used in thermal imaging in airports and elsewhere.
In medicine, it can help recognize infection from computerized tomography lung scans. .
It has used to provide data to track the spread of the disease.
Other Areas are :
- Health
- Transport
- Health
- Transport
- Manufacturing
- Food and farming
To know more about ml : machine learning and artificial intelligence:-
What are Machine learning Uses ?
1.Image Recognition :
The image recognition is one of the most common uses of machine learning applications. It can referred to as a digital image and for these images, the measurement describes the output of every pixel in an image. The face recognition is one of the great features that have developed by machine learning only. It helps to recognize the face and send the notifications related to that to people.
2. Voice Recognition :
Machine learning (ML) also helps in developing the application for voice recognition. It also referred to as virtual personal assistants (VPA). It will help you to find the information when asked over the voice. There are many devices available in today’s world of Machine learning for voice recognition that is Amazon echo and googles home is the smart speakers. There is one mobile app called Google and smartphones are Samsung S8 and Bixby.
3.Email Intelligence
- Spam Filters: Some rules-based filters aren’t served actively in an email inbox such as when, for example, a message comes with the words “online consultancy”, “ online pharmacy”, or from “unknown address”.
4. Banking and Personal Finance
Fraud Prevention: In most of cases, daily-based transaction data is so high in volume and becomes complex for humans to review manually each transaction, then how to find out if a transaction is fraudulent.
5. Social Media Platform :
Social Media is being used for providing better news feed and advertisement as per the user’s interest is mainly done through the uses of machine learning only. There are many examples like friend suggestions, page suggestions for Facebook, songs, and videos suggestion on YouTube. It mainly works on the straightforward concept on the basis of the user’s experience, with which they are getting connected and visit the profiles or websites very often, suggestions are providing to the user accordingly. It also provides the technique to extract useful information from images and videos.
6. Google Search Engine :
There are search engines available while searching to provide the best results to customers. There are many machine learning algorithms created for searching the particular user query like for google.
Whatever the page is being opened by the users for a particular topic frequently that will remain at the top of the page for a long time. artificial intelligence (ai) applications and machine learning applications
7. Medical Diagnosis and Healthcare
Machine Learning incorporates a soup of techniques and tools to deal with the diagnostic and prognostic issues in the diverse medical realms. ML algorithms are highly for
- The analysis of medical data for detecting regularities in data,
- Handling inappropriate data,
- Explaining data generated by medical units,
- Also for effective monitoring of patients.
8. Videos Surveillance :
It helps to detect the crime or any miss happening that is going to happen before it happens.
helps in tracking the unusual behavior of people like napping on benches and standing still from a long time, stumbling etc.
it will be create an automatic alert to the guards or people
So all this about machine learning & artificial intelligence and there uses
Our Sponsored :
