Page 141 - Robotics and AI class 10
P. 141
Reboot
1. Which learning can be used to train machines to learn from data?
2. What are data features?
#Digital Literacy
Task
Check out the website or scan the QR Code: https://lipsync.withyoutube.com/
An AI-powered challenge that rates how closely your lip-syncing matches the song! This experiment uses
Google’s AI technology TensorFlow.js. The TensorFlow model provides a real-time high-density estimate
of key points of your facial expression using only a webcam. Through machine learning in your browser,
the key points around the mouth and lips are analysed to estimate how well you synchronize to the lyrics
of the song!
At a Glance
• In today's rapidly advancing technological landscape, automated and autonomous systems have emerged as key
components of various industries and sectors.
• The automated and autonomous systems represent different levels of control, decision-making, and adaptability,
depending on the specific tasks they are designed to perform.
• Decision making is the process of comparing our different alternatives and coming to a conclusion on what exactly
we want to do.
• The Decision Making in Humans is Subjective and is based on sentiment, feeling, belief, etc., which are defined by
ethics, morals, and values followed by an individual.
• "Object classification" is still a challenge/issue in computer vision systems.
• Machine learning is an application of Artificial Intelligence (AI) that enables systems to learn and improve
automatically from experience without the need for explicit programming.
• Data is a piece of raw information or facts and statistics collected together for reference or analysis.
• In the data acquisition stage, it's very important that the data we provide to an AI project is relevant.
• The instructions to the machine are given in the form of Algorithms/Programs which are understood by machines
and accordingly processed.
• Application Programming Interface are a set of functions and procedures that allow one application to connect to
another.
• Natural language processing can be used to teach machines to understand the nuances of human language.
Decision Making in Machines/Computers 139

