Google's 'Teachable Machine' Lets Any User Train an AI System
References: teachablemachine.withgoogle & fastcodesign
Despite all the recent hubbub about artificial intelligence eventually conquering human intelligence, machines are currently quaintly far off from that goal, but Google's 'Teachable Machine' project is hoping to close that gap, however incrementally. The game lets any user with a camera help to train the tech company's image recognition algorithm by getting it to associate user behavior with various silly images.
The game is simple enough. First, users are instructed to wave their hand while pressing a green button, which teaches the program to bring up a random cat GIF when that wave happens. Next, users simply sit and do nothing while holding down another button, which in turn teaches the machine when users aren't inputting anything. Once done, no more buttons are necessary — the algorithm will automatically recognize whether the user is waving and send the related cat GIF.
The game is simple enough. First, users are instructed to wave their hand while pressing a green button, which teaches the program to bring up a random cat GIF when that wave happens. Next, users simply sit and do nothing while holding down another button, which in turn teaches the machine when users aren't inputting anything. Once done, no more buttons are necessary — the algorithm will automatically recognize whether the user is waving and send the related cat GIF.
Trend Themes
1. Image Recognition Training - The trend of using interactive games to train AI systems in image recognition by associating user behavior with specific images.
2. User-friendly AI Training - The trend of developing user-friendly tools and interfaces that allow non-experts to contribute to AI training.
3. Automated Recognition Algorithms - The trend of AI algorithms that automatically recognize user behavior and respond with relevant outputs.
Industry Implications
1. Artificial Intelligence - The AI industry can leverage these methods to improve image recognition algorithms and make them more accurate and diverse.
2. Technology - Technology companies can develop similar tools and interfaces to engage users in AI training and improve their algorithms.
3. Gaming - The gaming industry can incorporate AI training games to create interactive experiences for users while contributing to AI development.
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