Recognition

With techniques like data classification, correlation & extrapolation, machines have automated reasoning & problem solving, an example of which is categorizing e-mails. Similarly the ability to find patterns or detect & identify objects & other data has helped develop applications enabling face recognition, image recognition, speech recognition, etc. further making our devices smarter to respond to our needs better.

Computer Vision

Using the technique of image recognition, we can now search for data using images or even videos. How it is done is that the device detects events & data of the media provided & looks for results relevant to it. This has helped by providing us technologies like navigation which has proved very beneficial to us.

Machine Learning

Computers these days do not rely on explicit programming to analyze datasets of targeted training data or unlabeled operational data, but rather use machine learning to independently analyze large datasets. Machine learning employs self-learning to extract insights from data to understand rules, detect, correct errors & optimize performance.

Enhanced Interaction

AI results in enhancing the machine-human interaction by enabling a seamless collaboration between the two. AI has helped develop a clearer path of interaction with machines. Some examples of this include:

• Chatbots that use conventional interfaces for intuitive interactions between people
• Virtual assistants that guide users with real-time answers to ease simple tasks
• Virtual advisors that offer personalized advice based on deep insight to solve problems & make decisions.