谷歌DeepMind专家讲解AI如何通过理解不确定性做出更可靠决策，从天气预测到机器人应用都有涉及。
谷歌DeepMind研究副总裁Zoubin Ghahramani探讨了AI系统中的自我怀疑和概率理解。他在视频中分析了不确定性在现实世界决策中的关键作用。Ghahramani比较了正确性与置信度的区别，并介绍了贝叶斯思维在AI中的应用。该视频还讨论了未来研究和通用人工智能的发展方向。
From weather forecasting to robotics, intelligent decision-making relies on understanding the unknow...
From weather forecasting to robotics, intelligent decision-making relies on understanding the unknown. Our VP Research @ZoubinGhahrama1 explores with @fryrsquared why teaching systems self-doubt and probability can lead to safer, more reliable real-world decision-making. 🧠 Watch the episode ↓ Timecodes: 00:00 Introduction 01:06 The role of uncertainty 07:45 Correctness vs confidence 09:40 Historical perspectives 16:10 Bayesian thinking in AI 26:30 Uncertainty in the real world 36:42 Future research and AGI Your browser does not support the video tag. 🔗 View on Twitter 💬 11 🔄 10 ❤️ 109 👀 15950 📊 22 ⚡