Google’s Weirdest AI Dataset Yet: Garbage
📰 Forbes Innovation
Google is using a machine learning dataset of garbage to train its AI algorithms in partnership with Mill, a company that makes high-tech trash bins.
Action Steps
- Collect unusual data sources like garbage to train AI models
- Partner with companies that provide innovative technologies like high-tech trash bins
- Apply machine learning algorithms to the collected data
- Train AI models using the dataset
- Evaluate the performance of the trained AI models
Who Needs to Know This
Data scientists and machine learning engineers on a team can benefit from this example of creative data collection and application, while product managers can consider the potential of partnering with companies like Mill to leverage unique data sources.
Key Insight
💡 Unconventional data sources like garbage can be used to train AI models, highlighting the importance of creative data collection.
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🚮💻 Google's using garbage to train its AI algorithms! 🤖
Key Takeaways
Google is using a machine learning dataset of garbage to train its AI algorithms in partnership with Mill, a company that makes high-tech trash bins.
Full Article
The search giant had previously created a machine learning data set out of food scraps from its kitchens. Now it’s partnering with Mill, which makes a high-tech trash bin, to use that data to train its AI algorithms.
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