Applications of Machine learning in Artificial Intelligence
We know Artificial Intelligence (AI) is everywhere around the world. Many people in the world using applications of machine learning in AI. The most popular application of AI is Machine Learning (ML) that is very similar thing to human brain.
In here, we share some applications of machine learning in AI we use every time but we haven’t idea that they all are driven by ML.
1. Virtual Personal Assistant
There are some popular virtual personal assistants. They are Google, Alexa, Siri, Cortana. This assistant has been integrated to a various platforms. They are,
• Smart speakers – Google Home smart speaker , Amazon Echo smart speaker
• Smart phone – Samsung S8
2. Self – Driving Vehicles
One of the most popular applications of ML in AI is self – driving vehicles. For example Tesla is a most popular car manufacturing company is handling self – driving vehicles. In here AI can be used with camera option of the vehicle, cloud services, GPS, radar systems and signals that can be controlled the car. AI can extend the system improvement using emergency breaking systems, blind-spot handling options.
3. AI in Social Media
As we know messaging apps gives strong feeling for messaging. Facebook messenger service is very exciting thing of the social media platform in the world. Any developer can make and submit a Facebook Chabot for giving best customer service immediately. Not only Chabot, it also is using AI applications to filter out the spams and low-quality content.
“People you may know” – It means Facebook identify friends that you have connected with, the profiles that you visit mostly, interests likewise. Considering of that it suggests new friends for you.
Face recognitions – When you upload the photos it capture the unique features and then it match with your friends in friend list.
Twitter uses AI for fraud detection, to remove propaganda, to tweets recommendations like wise.
Instagram uses AI for identify yours likes, accounts that you are following to catch up what kinds of posts you are viewed on your account explorer.
4. Predictions While Commuting
• Traffic predictions
While us using GPS services, our current locations and velocities are being stored at a central server for easily controlling traffic. It is used to make a map of the current traffic. ML support to determine the area where congestion could be found.
• Online Transportation Networks
In here services like Uber uses ML to know price surge hours to estimate the prices of the ride by rider demand prediction.
5. Videos Surveillance
This service is powered by AI in the present. It uses to detect crimes before it happen. In here they are tracking the unusual behavior of the person for a long time. If there is unusual behavior of person the system gives alert to prevent that thing. And this behavior is reported and counted and it is right, they support to improve the services of surveillance. MLsupports doing its backend job for this.
6. Online Fraud Detection
There are many issues of credit card frauds and fake reviews of e-commerce companies deal with. So AI can support to reduce this possibility of credit card frauds. ML creates cyberspace security and it tracks online monetary frauds. PayPal is the example for using protection of ML. They use AI for identifying and comparing lot of transactions it can be millions of transactions to track the legitimate or illegitimate transactions. And other thing is when customer buy product or service they find the customer reviews. AI can support to identify fake reviews and they can handle those things also.
7. Search Engine Result Refining
To improve the search results Google, Firefox and other search engines use the ML. When you execute a search backend algorithms to track a watch at how you keep and respond to the results. If you reach the top results and spend lot of time on the web page search engines may assume that the results it has shown is correct one.
Similarly, if you reach only the second or third page and do not reach any of search results, search engine determine served result is had not match with the requirement. This way, backend algorithms improve the search results.
8. Product Recommendations
We have many experiences about this. As I mentioned when we shopped for product online after few days we have some received shopping suggestions e-mails. Did you know ML in AI doing this magic for you? It consider our behavior on the website or mobile app, old purchases, liked items or services, added items to shopping cart likewise, the product recommendations are built.
9. AI in Healthcare
AI can be used to make sophisticated machines that can prevent diseases and cancer cells identifications. AI supports to analyze chronic conditions and other medical details to estimate early diagnosis. It uses complex of historical data and medical intelligence for discovery of new drugs.
10. AI in Gaming
AI can be used to give predictions about human behavior using which game designs may be improved. For example, Alien Isolation games it uses two Artificial Intelligence systems. Those systems are “Director AI” and “Alien AI”.
Director AI – It knows the player’s location frequently.
Alien AI – It is driven by sensors and players’ behavior to hunt the player continuously.
Conclusion
Applications of Machine learning in Artificial Intelligence are familiar with industries with their applications and they help to take best solutions to the complex problems. As I mentioned I think it is very important thing for human beings and human behaviors to find the best solutions for their lives in future definitely.
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