Fireside chat: What’s next in large-scale AI
We are approaching AI from different perspectives, which include not only creating more powerful models, but also developing unique ways to create AI techniques that are innovative, fair, and responsible while being mindful of emerging opportunities and risks. Looking ahead at the next-generation of AI systems, what are the most important lines of research we should pursue? And how can we turn them into technologies that brings the benefits of AI to more people more often?
- 轨迹:
- Efficient Large-Scale AI
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Susan Dumais
Technical Fellow & Managing Director, Microsoft Research New England, New York City and Montreal
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Eric Horvitz
Chief Scientific Officer
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Ahmed Awadallah
Partner Research Manager
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