Machine Learning Making Everyday Life Simpler: A Glimpse into the Uses of Artificial Intelligence

By Tirthankar Ghosh September 21,2022

Artificial Intelligence (AI) simulates human thinking and behavior through intelligent machines. In essence, AI enables computers to learn from their experiences and carry out activities similar to those performed by humans. However, machine learning is the component of AI that allows machines to learn from the massive amounts of data they receive without being explicitly programmed. For instance, ML can carry out tasks that weren’t specifically coded for it, such as employing statistical techniques to generate predictions.

A wide range of businesses and applications are impacted and helped by machine learning in their day-to-day operations. You may see examples of it in use below: 

1. Google’s Predictions Powered by AI

2. Self-driving cars utilize sensors to gather massive amounts of data, which machine learning algorithms then analyze to help the car decide how to react in various circumstances, such as a red light or a pedestrian crossing the street.

3. Customer Notification Timing

Machine learning is a component of the technology used by the free language-learning program Duolingo. Duolingo’s statistical algorithm analyzes the information you provided in your responses to determine how long you will be able to recall a particular word before you require a refresher course. As a result, Duolingo is aware of when to ping you and advises that you retake the course.

1. Ridesharing services such as Uber and Lyft

How is the cost of your ride determined? When you call for a car, how do they reduce the wait time? How do these services pair you up with other passengers in the best possible way to minimize detours? ML is the response to each of these inquiries. In an interview with NPR, Uber ATC’s Engineering Lead Jeff Schneider explained how the firm utilizes machine learning (ML) to estimate rider demand to make sure that “surge pricing”—short bursts of abrupt price rises to reduce rider demand and enhance driver supply—will soon become obsolete. Danny Lange, the head of machine learning at Uber, revealed that the company uses machine learning to compute optimum pickup locations, predict meal delivery times on UberEATS, and detect fraud.

1. Improved Cloud Services

To assist programmers and data scientists in creating, honing, and deploying machine learning models, Amazon’s cloud service AWS provides free machine learning services and tools like its Amazon SageMaker. Amazon Rekognition, another service provided by AWS, employs machine learning to recognize objects, people, text, and activities in still images and to move pictures.

1. An AI Autopilot is used on Commercial Aircraft

Depending on how broadly you define autopilot, AI autopilots in commercial airlines are a relatively old application of AI technology that goes as far back as 1914. According to The New York Times, the average flight time of a Boeing aircraft is only seven minutes, with the majority of that time being used for takeoff and landing.

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