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The chapter explores the future of artificial intelligence, contrasting narrow AI with artificial general intelligence (AGI), and discusses emerging trends such as explainable AI, edge AI, and automated machine learning. It outlines various career paths and research areas in AI, emphasizing the transformative potential of AI technologies and the importance of ethical considerations. It concludes by highlighting the need for adaptability in a rapidly evolving field.
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Sections
Class Notes
Memorization
What we have learnt
- Narrow AI is specialized fo...
- Key trends in AI include ex...
- Career opportunities in AI ...
Final Test
Revision Tests
What we have learnt
- Narrow AI is specialized for specific tasks, while AGI aims to simulate human-like cognition.
- Key trends in AI include explainable AI for transparency, edge AI for local processing, and automated machine learning for ease of use.
- Career opportunities in AI are diverse, spanning roles such as machine learning engineers and AI ethics specialists.
Key Concepts
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Term: Narrow AI
Definition: AI systems designed to perform specific tasks, excelling in those areas but lacking general understanding.
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Term: Artificial General Intelligence (AGI)
Definition: Aiming to build machines with human-like cognitive abilities capable of learning any intellectual task.
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Term: Explainable AI (XAI)
Definition: Focuses on making AI decision-making processes transparent and understandable to build trust and accountability.
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Term: Edge AI
Definition: AI computations performed locally on devices, leading to benefits such as reduced latency and enhanced privacy.
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Term: Automated Machine Learning (AutoML)
Definition: Tools that automate the design and tuning of machine learning models to facilitate AI development.