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What's AI Podcast by Louis-François Bouchard
The Role of Data in Advancing AI: Insights from Expert Jerome Pasquero
Jan 22, 2024
Jerome Pasquero, Machine Learning Director at Sama, dives into the role of data in AI's evolution, exploring data annotation nuances, ethical implications, and how data shapes technology. Insights include challenges in computer vision, using humans vs. ML models for data annotation, impact of AI on the job market, dealing with biases, and the importance of haptics in AI.
01:07:06
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Quick takeaways
- Data annotation is crucial for training AI models and requires a combination of human judgment and AI automation.
- The future of AI in vision includes personalized AI systems that adjust to individual preferences and advancements in haptic technology.
Deep dives
Applications of AI in the Vision Industry
AI is currently being used in various applications in the vision industry. For example, in security, AI is used for tracking people in surveillance footage. In stores, AI powers self-checkout systems. In manufacturing, AI is used for quality control by detecting flaws in products. These are just a few examples, but AI is being applied in various domains where vision plays a crucial role.
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Discover
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