AI & ML
Few technologies have the potential to change the nature of work and how we live as artificial intelligence (AI) and machine learning (ML).
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Neural interfaces: Connecting humans and artificial intelligence
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Hybrid bio-opto-electronics for AI
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The physics of AI
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Highlights from the Artificial Intelligence Conference in New York 2018
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Increasing business results through AI in the entertainment industry
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Understanding automation
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Autonomy and human-AI interaction
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Intel AI for the enterprise ecosystem
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Fireside chat with Peter Norvig and Kavya Kopparapu
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The frontiers of machine learning and AI
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Teaching and implementing data science and AI in the enterprise
Teaching and implementing data science and AI in the enterprise
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The importance of transparency and user control in machine learning
The importance of transparency and user control in machine learning
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Data engineers vs. data scientists
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4 things business leaders should know as they explore AI and deep learning
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What machine learning engineers need to know
What machine learning engineers need to know
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podcast
How to train and deploy deep learning at scale
How to train and deploy deep learning at scale
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