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From Siraj Raval: How to teach AI
How to design an AI curriculum, teach in real life and create an educational AI YouTube video. About 20,000 views.
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Best of TedX: the “danger” of AI is weirder than you think
The “danger” of AI is less killer robots and more likely the everyday kinds of things gone wrong – such as AI-designed ice cream flavors that are Pumpkin Trash Break, Peanut Butter Slime and Strawberry Cream Disease. Ugh. Over 1,300,000 views.
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From JLL: Workplace of the future – how will you work in 2020?
A visualization and simulation of how augmented reality and AI could change the workplace and the ways we interact with people and work. About 300,000 views.
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From Sony: Daddy’s Car – a song composed by AI in the style of the Beatles
The first-ever entire song composed by AI that learns music styles from a huge database of songs. This song offers unique combinations of style transfer, optimization and interaction techniques. Listen to it and decide if AI can create art. Over 2,500,000 views.
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A YouTube Original: the age of AI – how far is too far?
Can A.I. make music? Can it feel excitement and fear? Is it alive? The first video in an eight part documentary about The Age of AI, Will.i.am and Mark Sagar push the limits of what a machine can do. How far is too far, and how much further can we go? Over 43,000,000 views.
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From CGP: How machines learn
How do all the algorithms around us learn to do their jobs? An easy to understand explanation. About 5,000,000 views.
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Blue Jeans & Blood Tears: a Eurovision song created by AI
Can AI create art? Make up your own mind by listening to this Eurovision song create by AI. About 5,000,000 views.
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From Andrew Ng: Learning about AI/ML for free with me as your teacher
117 7 to 15 minute videos staring Andrew Ng that teach supervised learning, unsupervised learning, special applications and topics, and advice on building a machine learning system. Over 900,000 views.
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From Pathmind: AI Wiki
This artificial intelligence wiki is a beginner’s guide to important topics in AI, machine learning, and deep learning. The goal is to give readers an intuition for how powerful new algorithms work and how they are used, along with code examples where possible.
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From Getting Smart: Ask about AI – the future of work and learning
This report attempts to summarize the implications of machine intelligence for education: both the ways it will improve learning, and its implications for what should be learned. We will do this by asking, addressing and answering three questions: What’s happening? What does it mean? And how to prepare?
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