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Your search returned 16 results

Listed under:  Technologies  >  Information and communication technologies  >  Data processing  >  Artificial intelligence
Video

Imagining other uses for robotics technology

  • TLF-IDM020269

It's cool to program robots to play football, but there are many more useful applications for programming robots to react to what they are seeing. What are some of the examples David McKinnon gives? Can you think of some more examples?

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Computing turns 60

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This is a collection of eight articles that mark the 60th anniversary of the first computer in an Australian university. The series covers topics from the history of computing, its role in studying global health or species conservation, and how computers can help understand the brain.

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The Conversation: Algorithm

  • TLF-IDM020901

A series of explanatory articles about how algorithms work, be it applied to chess, the spread of social media, art, conservation, or artificial intelligence. Articles are authored by recognised experts on the topic. Resource can be used to develop a broad understanding of algorithms and their role in everyday life. The ...

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Video

Artificial Intelligence Explainers: Video 4: AI Explainers | Digital Technologies Hub

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Use this video to discuss how Artificial Intelligence (AI) has the potential to be a transformative technology much like introduction of the car, 100 years ago. We also showcase some innovative Australian applications. This is the fourth video in a series. The first three in the series are Introduction to AI & machine ...

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Video

DTiF Classroom Exploring AI in the Classroom: Teacher debrief

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Digital Technologies in Focus curriculum officers discuss a lesson about Artificial Intelligence and curriculum links for teachers

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Video

An introduction to artificial intelligence and machine learning

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This video is the first of a series of 5 explainers on artificial intelligence. It discusses why it is a challenge for a computer to easily recognise one object from another. Discover how a machine learns using labelled images rather than following a specific set of rules and how AI connects with human learning.

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Video

Artificial Intelligence Explainers: Video 2: AI in our everyday life | Digital Technologies Hub

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In this video we look at the ways AI is making decisions that can affect your daily life. Discover some AI applications that are designed to make our lives easier. See how a machine can be considered smart as it performs human-like behaviours such as recognising speech, text, images and being able to reason. This is the ...

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Video

Artificial Intelligence Explainers: Video 3: AI systems | Digital Technologies Hub

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We use examples of home automation and recommender systems to go into more detail about how the AI in these systems work. We also look at filter bubbles and discuss why its important to be aware of potential issues of using these systems. This is the third video in a series. The first two in the series are Introduction ...

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Video

DTiF Classroom Exploring AI in the Classroom: Activity discussion

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Digital Technologies in Focus curriculum officers discuss a lesson about Artificial Intelligence with Simon Collier and a student.

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Video

Expert webinar video: Martin Richards: AI, AR and VR F–10 and links to the Australian Curriculum: Digital Technologies

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Martin Richards manages the Digital Technologies Hub. He discusses the relationship between artificial intelligence and the Australian Curriculum: Digital Technologies. Martin also shows some useful resources for teachers.

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Video

DTiF Classroom Exploring AI in the Classroom: Activity

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Simon Collier, Digital Technologies in Focus Curriculum Officer, takes viewers though a lesson from the Digital Technologies Hub exploring how machine learning can be used to organise photographs.

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Years 1–2: Ways we represent data

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In this scope and sequence unit students represent objects, ideas and events as pictures, symbols, numbers and words. Students represent the data they have acquired in different ways.

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Image classification: a human-computer approach

  • TLF-IDA004914

In this learning sequence students explore the classification of images typically undertaken by an artificial intelligence (AI). One group of students creates images (representing a dataset) while another group of students creates rules (representing a machine learning algorithm) to classify the images, simulating the process ...

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Is the AI model accurate?

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In this lesson, students conduct a statistical investigation to gather data to evaluate how well an artificial intelligence (AI) model works. Students apply their knowledge of percentage and use digital tools to record and analyse data. This lesson has cross learning area connections with Digital Technologies.

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Dynamic route planning

  • TLF-IDA004913

In this learning sequence, students think critically about the types of data artificial intelligence (AI) algorithms need to analyse for real-time traffic data.

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Exploring predictive text

  • TLF-IDA004916

In this learning sequence, students analyse and apply predictive text in various contexts, including SMS messaging, email and online search engines, to enhance their understanding of language models and common language patterns.

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