4/Douwe Kiela points out key directions: Multimodality, grounding, and interaction so AI understands us better; alignment, attribution, and uncertainty to make models safer; data-centric AI to improve scaling; and better ways to evaluate AI models.
@andrewyng
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AI Personal Timeline: Tracking Goals While Preserving Privacy
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3/Alon Halevy envisions AI capturing massive amounts of data from your daily life — photos, browsing, purchases — and fusing it into a personal timeline that helps you track and achieve your goals, while preserving privacy.
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Yoshua Bengio Advocates New Architectures for Conceptual Discovery
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Yoshua Bengio wants to develop new architectures that can discover and reason with high-level concepts, rather than just brute force the learning process by scaling up existing models' data and compute.
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AI Leaders Share Hopes and Key Priorities for 2023
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1/Several leaders share their hopes for AI in 2023, including finding key missing pieces that will enable algorithms to reason, building a personal data timeline, improving AI processes, discovering new principles for explainability, and using generative AI for active learning.
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2022 AI Progress Foundation for Greater 2023 Advances
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2022 has been a great year for AI progress. Excitingly, this has laid a foundation for even more progress in 2023. Happy New Year, friends!
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AI Summer 2022: Year’s Biggest News and Insights
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Despite the cold weather, we’re in the middle of a red hot AI summer. Read my thoughts — and a roundup of this year’s biggest AI news — in The Batch!
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World Cup Final Wishes for Argentina, France, and AI Engineering
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5/For the World Cup final, here’s wishing good luck to the Argentina team , The France team , and the AI engineering team !
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AI Applications Expanding Across All Sectors of Society
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4/It is inspiring that AI is making its way to all corners of society, with many applications large and small.
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Twelve cameras and sensors improve offside call accuracy in sports
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3/Twelve cameras track the players, and embedded sensors track the ball. Accurate real-time localization of everyone/everything makes off-side calls more accurate.