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Listen&Learn: Machine Learning

15th March 2023 by Jaksyn Peacock
AI artificial intelligence

Pre-listening vocabulary

  • artificial intelligence: a program that is built to “think” like a human
  • label: to give something a name
  • neuron: a cell that sends information through the brain and body
  • variation: a change, especially an unexpected one
  • fraud: a crime where a person lies or acts unfairly to gain money
  • diagnose: to detect a problem, especially a medical one

Listening activity

Gapfill exercise

Machine learning is the process that artificial intelligence uses to understand . A program using machine learning can update its own programming. A human first trains the AI using a selection of , and the AI then uses its training to recognize in different data. Machine learning can be supervised or unsupervised. In supervised learning, the programmer labels the data so the AI knows what to look for. In unsupervised learning, the AI identifies any patterns that it detects. A complex type of machine learning, called a neural network, is designed almost like a human , with interconnected artificial neurons. These networks are useful for finding complicated patterns that have exceptions and variations. They can detect fraud, make stock predictions, and diagnose issues.

Comprehension questions

See answers below

  1. An AI using machine learning
    a. can reject its own programming
    b. can destroy its own programming
    c. can update its own programming
  2. In supervised machine learning,
    a. the programmer labels data so the AI knows what to look for
    b. the AI identifies any patterns it detects in the unlabelled data
    c. the AI can’t change its programming unless the programmer allows it to
  3. The type of machine learning that works almost like a brain is called
    a. an artificial neuron
    b. a neural network
    c. an unsupervised detector

Discussion/essay questions

  1. The use of artificial intelligence in many industries is controversial. Some people believe it will replace human intelligence and creativity. Do you think it is possible for a machine to think and create the way a human does? What should we do if that happens?

Transcript

Machine learning is the process that artificial intelligence uses to understand information. A program using machine learning can update its own programming. A human first trains the AI using a selection of data, and the AI then uses its training to recognize patterns in different data. Machine learning can be supervised or unsupervised. In supervised learning, the programmer labels the data so the AI knows what to look for. In unsupervised learning, the AI identifies any patterns that it detects. A complex type of machine learning, called a neural network, is designed almost like a human brain, with interconnected artificial neurons. These networks are useful for finding complicated patterns that have exceptions and variations. They can detect fraud, make stock predictions, and diagnose health issues.

Answers to comprehension questions

1c 2a 3b

Listen&Learn: Ada Lovelace

21st December 2022 by Jaksyn Peacock

Pre-listening vocabulary

  • mathematician: a person who solves problems using numbers
  • theoretically: according to theory rather than physical evidence
  • calculation: the process of solving mathematical problems
  • algorithm: a set of instructions that a computer can follow
  • predict: to make a guess about something that will happen in the future
  • generate: to produce something

Listening activity

Gapfill exercise

Ada Lovelace was an English mathematician known for her contributions to early science. She was born in 1815. Her father was Lord Byron, a famous poet. However, her mother wanted her to be in math and science instead of the arts. In 1833, Lovelace met a mathematician named Charles Babbage, who had designed a machine that could theoretically make calculations on its own. This machine was called the Difference Engine. Lovelace was inspired by Babbage’s and helped him write an algorithm for his next , the Analytical Engine, which was even more complex. Lovelace’s algorithm is now known as the first computer program. In her notes, Lovelace predicted that machines would one day be able to generate music and using algorithms.

Comprehension questions

See answers below

  1. Ada Lovelace’s father was
    a. a poet
    b. a mathematician
    c. a scientist
  2. Lovelace helped Charles Babbage
    a. build the mechanisms for the Difference Engine
    b. write an algorithm for the Analytical Engine
    c. develop the idea for the Analytical Engine
  3. Lovelace predicted that
    a. machines would become smarter than humans
    b. society would become extremely dependent on machines
    c. machines would be able to generate music and images

Discussion/essay questions

  1. Computers have advanced a lot since Ada Lovelace’s time. Today, artificial intelligence can generate many things, including art, writing, and music. What do you think the future of artificial intelligence is? Do you think it is possible for a machine to be creative?

Transcript

Ada Lovelace was an English mathematician known for her contributions to early computer science. She was born in 1815. Her father was Lord Byron, a famous poet. However, her mother wanted her to be educated in math and science instead of the arts. In 1833, Lovelace met a mathematician named Charles Babbage, who had designed a machine that could theoretically make calculations on its own. This machine was called the Difference Engine. Lovelace was inspired by Babbage’s ideas and helped him write an algorithm for his next project, the Analytical Engine, which was even more complex. Lovelace’s algorithm is now known as the first computer program. In her notes, Lovelace predicted that machines would one day be able to generate music and images using algorithms.

Answers to comprehension questions

1a 2b 3c