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Wu Dao 2.0: Why China is Leading the Artificial Intelligence Race?

Wu Dao 2.0: Why China is Leading the Artificial Intelligence Race?
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United States , Tang Jie , Zhang Hongjiang , Hua Zhibing , Wu Dao , Blake Yan , Eu Commission , Academy Of Artificial Intelligence , Department Of Computer Science , Research Academic Vice , Tsinghua University , Artificial Intelligence , Academic Vice President , Professor Tang , Beijing Academy , Intelligence On Premises , Machine Learning , Causal Machine Intelligence , Intelligence Algorithms , Automation Can , Will Replace You , Near Future Heres , Microsoft Turing , Land Use , Computer Science , Know Ahead ,

Wu Dao 2.0 - Bigger, Stronger, Faster AI From China

Wu Dao 2.0 - Bigger, Stronger, Faster AI From China
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Hong Kong , Kai Fu Lee , Hua Zhibing , Wu Dao , Gareth Gaskell , Department Of Psychology , Academy Of Artificial Intelligence , Chinese Academy Of Sciences , Tsinghua University Professor Tang Jie , University Of York , Research Academic Vice , Renmin University Of China , Technology Park , Tsinghua University , Beijing Academy , Artificial Intelligence , Encyclopedia Britannica , Professor Gareth Gaskell , Generative Pre Trained Transformer , Academic Vice President , Tsinghua University Professor Tang , Peking University , Renmin University , Chinese Academy , Microsoft Turing , Land Use ,

Microsoft's AI Model Outperforms Humans In Natural Language Understanding

January 16, 2021
Microsoft on Tuesday announced that its AI model has surpassed humans In Natural Language Understanding (NLU) With SuperGLUE benchmarks.
According to Microsoft, Natural Language Understanding (NLU) is one of the longest-running goals in AI (artificial intelligence), and SuperGLUE is currently among the most challenging benchmarks for evaluating NLU models.
The SuperGLUE benchmark consists of a wide range of NLU tasks, including question answering, natural language inference, co-reference resolution, word sense disambiguation, and others. The Redmond tech giant took the causal reasoning task as an example.
Given the premise “the child became immune to the disease” and the question “what’s the cause for this?,” the model is asked to choose an answer from two plausible candidates: 1) “he avoided exposure to the disease” and 2) “he received the vaccine for the disease.” ....

Azure Cognitive Services , Natural Language Understanding , Disentangled Attention , Microsoft Turing , நீலமான அறிவாற்றல் சேவைகள் , இயற்கை மொழி புரிதல் , மைக்ரோசாஃப்ட் டூரிங் ,

Microsoft's AI model has outperformed humans in natural language understanding

Microsoft's AI model has outperformed humans in natural language understanding
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Azure Cognitive Services , Disentangled Attention , Google Brain , Microsoft Turing , Azure Cognitive , நீலமான அறிவாற்றல் சேவைகள் , கூகிள் மூளை , மைக்ரோசாஃப்ட் டூரிங் , நீலமான அறிவாற்றல் ,

[图]微软语言训练模型DeBERTa在SuperGlue阅读测试中超过人类基线 - Microsoft 微软

[图]微软语言训练模型DeBERTa在SuperGlue阅读测试中超过人类基线 - Microsoft 微软
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