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Briefing
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- AI Replication – Google’s machine learning artificial intelligence, AutoML, developed own artificial intelligence, NASNet, using reinforcement learning which can identify video objects in real-time
- NASNet Performance – Predicted images with 82.7% accuracy, 1.2% higher than human-made artificial intelligence systems, while being 4% more efficient
- Automated Training – AutoML evaluates and improves NASNet’s performance
- Open Source – Open-sourced AI to accelerate development of computer vision applications
- Potential Applications – Include robots that help blind to see as well as improve computer vision of driverless cars
- Negative Implication – Could produce AI with inherited biases
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Accelerator
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Sector
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Information Technology, Transportation and Logistics
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Organization
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Google Inc.
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Source
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Galeon, D. and Houser, K., "Google’s artificial intelligence built an AI that outperforms any made by humans",
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"Google artificial intelligence creates its own AI ‘child’,"
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O'Donoghue, R., "Google supercomputer creates its own ‘AI CHILD’",
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Highfield, V., "Google’s AI builds its own AI child and it’s better than anything humans have made",
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AcceleratingBiz analysis
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Original Publication Date
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December 1, 2017
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