“第八章 让人惊讶的智能”版本间的差异

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*[https://mp.weixin.qq.com/s?__biz=Mzk0NjIzMzI2MQ==&mid=2247486024&idx=1&sn=eb8e12cbd2721d06240dabb6225cadd0&chksm=c308008af47f899caa3f1806b1a3e262e9ff150f68d9beedf12d87d71b4a934d65ecd6150af1&scene=178#rd 小清爱提问:嫦娥五号,人工智能出了多少力?]
 
*[https://mp.weixin.qq.com/s?__biz=Mzk0NjIzMzI2MQ==&mid=2247486024&idx=1&sn=eb8e12cbd2721d06240dabb6225cadd0&chksm=c308008af47f899caa3f1806b1a3e262e9ff150f68d9beedf12d87d71b4a934d65ecd6150af1&scene=178#rd 小清爱提问:嫦娥五号,人工智能出了多少力?]
 
*[https://mp.weixin.qq.com/s?__biz=Mzk0NjIzMzI2MQ==&mid=2247486001&idx=1&sn=705056835f1a7c033f96d602afb2c833&chksm=c30800f3f47f89e5491aa6e329794d927e4cf4e0771f0395b72e5a2f13857a3873701bf0745f&scene=178#rd 小清爱提问:机器人是如何动作的?]
 
*[https://mp.weixin.qq.com/s?__biz=Mzk0NjIzMzI2MQ==&mid=2247486001&idx=1&sn=705056835f1a7c033f96d602afb2c833&chksm=c30800f3f47f89e5491aa6e329794d927e4cf4e0771f0395b72e5a2f13857a3873701bf0745f&scene=178#rd 小清爱提问:机器人是如何动作的?]
 +
*[https://mp.weixin.qq.com/s?__biz=Mzk0NjIzMzI2MQ==&mid=2247485425&idx=1&sn=f4e19de5736a475584063a7abedb1a8f&chksm=c3080d33f47f8425da5b03161bac48aeea4eccd4bb9b6b4d74e13a31e7b9f02bc7fd9557d233&scene=178#rd 小清爱提问:人工智能如何预测新冠疫情?]
 +
*[http://aigraph.cslt.org/courses/08/8-2.火出圈的chatGPT是如何炼成的.mp4 小清爱提问:火出圈的chatGPT是如何炼成的?]
  
 
==扩展阅读==
 
==扩展阅读==
 +
*DeepMind AlphaGo博客[https://www.deepmind.com/research/highlighted-research/alphago]
 +
*百度百科:AlphaGo [https://baike.baidu.com/item/%E9%98%BF%E5%B0%94%E6%B3%95%E5%9B%B4%E6%A3%8B/19319610]
 +
*AI100问:AI美颜[http://aigraph.cslt.org/ai100/pdf/AI-100-80-AI%E5%A6%82%E4%BD%95%E4%B8%BA%E4%BD%A0%E7%BE%8E%E9%A2%9C.pdf]
 +
*AI100问:绘画大师[http://aigraph.cslt.org/ai100/pdf/AI-100-69-%E6%9C%BA%E5%99%A8%E5%A6%82%E4%BD%95%E6%88%90%E4%B8%BA%E6%B2%B9%E7%94%BB%E5%A4%A7%E5%B8%88.pdf]
 +
*AI100问:甜美的导航声音是如何产生的?[http://aigraph.cslt.org/ai100/pdf/AI-100-63-%E7%94%9C%E7%BE%8E%E7%9A%84%E5%AF%BC%E8%88%AA%E5%A3%B0%E9%9F%B3%E6%98%AF%E5%A6%82%E4%BD%95%E4%BA%A7%E7%94%9F%E7%9A%84.pdf]
 +
*老人声音报警器[http://ex.chinadaily.com.cn/exchange/partners/82/rss/channel/cn/columns/snl9a7/stories/WS61c926cda3107be4979ff10f.html]
 +
*DAll-E:文字生成图片[https://openai.com/blog/dall-e/][https://openai.com/dall-e-2/]
 +
*ChatGPT介绍[https://juejin.cn/post/7239972079005007932][https://www.nolibox.com/creator_articles/principle_of_ChatGPT.html]
 +
*计算机系孙茂松团队在自然·通讯杂志发表生物医学知识计算研究成果[https://www.cs.tsinghua.edu.cn/info/1088/4797.htm]
 +
*越来越像人:波士顿动力机器人进化史 [https://www.sohu.com/a/647095398_100051959]
 +
*60年过去了,五指灵巧手还能走出实验室吗?[https://blog.csdn.net/zhixingjueqi/article/details/127447359]
 +
*无人机群体智能[https://www.toutiao.com/article/7119651267353412099/?wid=1658648374599][http://www.81.cn/jfjbmap/content/2021-09/03/content_298211.htm]
 +
*中国天眼[http://www.xinhuanet.com/politics/2021-04/26/c_1127375113.htm]
 +
*AI超分辨率显微镜[https://www.tsinghua.edu.cn/info/1175/102164.htm]
 +
*AI100问:人工智能破解蛋白质结构之迷[http://aigraph.cslt.org/ai100/pdf/AI-100-05-%E4%BA%BA%E5%B7%A5%E6%99%BA%E8%83%BD%E5%A6%82%E4%BD%95%E7%A0%B4%E8%A7%A3%E8%9B%8B%E7%99%BD%E8%B4%A8%E4%B9%8B%E8%BF%B7.pdf]
  
*CCTV-2 生活早间秀 除了下围棋 机器人还会作诗?[https://tv.cctv.com/2016/03/27/VIDE95U9tI4N4DLz8XMIFNFC160327.shtml]
+
==视频展示==
*DAll-E:文字生成图片[https://openai.com/blog/dall-e/][https://openai.com/dall-e-2/][https://www.youtube.com/watch?v=Q9FGUii_4Ok]
+
*AI机器人做实验[http://aigraph.cslt.org/courses/08/robot-experiment.mp4][https://www.liverpool.ac.uk/physical-sciences/news/articles/nature-article-features-robot-chemist]
*UC Berkley的科学家用一小时教会机器人站立、抓取等动作[https://arxiv.org/pdf/2206.14176.pdf][https://danijar.com/project/daydreamer/]
+
*波士顿动力机器人[http://aigraph.cslt.org/courses/08/Atlas.mp4][http://aigraph.cslt.org/courses/08/BostonDynamics.mp4]
*波士顿动力机器人[http://aigraph.cslt.org/courses/01/Atlas.mp4]
+
*UC Berkley的科学家用一小时教会机器人站立、抓取等动作[http://aigraph.cslt.org/courses/08/DayDreamer.mp4][https://danijar.com/project/daydreamer/][https://arxiv.org/pdf/2206.14176.pdf]
 +
*CCTV-2 生活早间秀 除了下围棋 机器人还会作诗?[http://aigraph.cslt.org/courses/08/weiwei.mp4]
 +
*DALL-E2: [http://aigraph.cslt.org/courses/08/DALL-E-2.mp4]
  
==链接==
+
==演示链接==
 
*Cogview 文本生成图片 [https://wudao.aminer.cn/CogView/index.html]
 
*Cogview 文本生成图片 [https://wudao.aminer.cn/CogView/index.html]
 +
*DALL-E 文本生成图片[https://huggingface.co/spaces/dalle-mini/dalle-mini]
 +
*Stable-difussion 文本图片生成 [https://beta.dreamstudio.ai/dream]
 +
*ProsPainter:文本加绘图生成图片 [https://www.prosepainter.com/]
 +
*Artbreeder: 文本绘图 [https://www.artbreeder.com/]
 +
*TextToImage[*] [https://deepai.org/machine-learning-model/text2img]
 +
*Picsart[*] [https://picsart.com/ai-image-generator]
 +
*ChatGPT[*][https://chat.chatgptdemo.net/]
 +
*豆包(字节版ChatGPT) [http://doubao.com]
 +
*天工(昆仑万维版ChatGPT)[http://tiangong.cn]
 +
*OpenAI Blog, DALL·E: Creating Images from Text, 2021.1 [*](https://openai.com/blog/dall-e/)
  
 
==开发者资源==
 
==开发者资源==
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==高级读者==
 
==高级读者==
 +
*AlphaGo[https://discovery.ucl.ac.uk/id/eprint/10045895/1/agz_unformatted_nature.pdf]
 +
*AlhpaZero[https://arxiv.org/pdf/1911.08265.pdf&lang=en]
 +
*FaceBeaty[https://arxiv.org/pdf/1912.03630.pdf?]
 +
*Style transfer [https://arxiv.org/pdf/1508.06576.pdf?translate=1&translate=1&translate=1&translate=1]
 +
*A reivew of speech synthesis [https://www.mdpi.com/2076-3417/9/19/4050/pdf]
 
*Cogview [https://proceedings.neurips.cc/paper/2021/file/a4d92e2cd541fca87e4620aba658316d-Paper.pdf]
 
*Cogview [https://proceedings.neurips.cc/paper/2021/file/a4d92e2cd541fca87e4620aba658316d-Paper.pdf]
 
*DALL-E [https://arxiv.org/abs/2102.12092][https://arxiv.org/abs/2204.06125]
 
*DALL-E [https://arxiv.org/abs/2102.12092][https://arxiv.org/abs/2204.06125]
 +
*Collaborative robots from Google [https://journals.sagepub.com/doi/pdf/10.1177/0278364917710318]
 +
*Deep learning for Muller mimickery [https://www.science.org/doi/pdf/10.1126/sciadv.aaw4967]
 +
*AlphaFold [https://www.nature.com/articles/s41586-021-03819-2]
 +
*Robot make experiment[https://www.nature.com/articles/s41586-020-2442-2]
 +
*Zeng Z, Yao Y, Liu Z, et al. A deep-learning system bridging molecule structure and biomedical text with comprehension comparable to human professionals. Nature communications, 2022, 13(1): 1-11.[https://www.nature.com/articles/s41467-022-28494-3]
 +
*Levine S, Pastor P, Krizhevsky A, et al. Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection. The International journal of robotics research, 2018, 37(4-5): 421-436.[https://journals.sagepub.com/doi/full/10.1177/0278364917710318]
 +
*Qiao C, Li D, Liu Y, et al. Rationalized deep learning super-resolution microscopy for sustained live imaging of rapid subcellular processes. Nature biotechnology, 2022: 1-11.[https://www.nature.com/articles/s41587-022-01471-3]

2023年8月25日 (五) 06:40的最后版本

教学资料

扩展阅读

  • DeepMind AlphaGo博客[1]
  • 百度百科:AlphaGo [2]
  • AI100问:AI美颜[3]
  • AI100问:绘画大师[4]
  • AI100问:甜美的导航声音是如何产生的?[5]
  • 老人声音报警器[6]
  • DAll-E:文字生成图片[7][8]
  • ChatGPT介绍[9][10]
  • 计算机系孙茂松团队在自然·通讯杂志发表生物医学知识计算研究成果[11]
  • 越来越像人:波士顿动力机器人进化史 [12]
  • 60年过去了,五指灵巧手还能走出实验室吗?[13]
  • 无人机群体智能[14][15]
  • 中国天眼[16]
  • AI超分辨率显微镜[17]
  • AI100问:人工智能破解蛋白质结构之迷[18]

视频展示

  • AI机器人做实验[19][20]
  • 波士顿动力机器人[21][22]
  • UC Berkley的科学家用一小时教会机器人站立、抓取等动作[23][24][25]
  • CCTV-2 生活早间秀 除了下围棋 机器人还会作诗?[26]
  • DALL-E2: [27]

演示链接

  • Cogview 文本生成图片 [28]
  • DALL-E 文本生成图片[29]
  • Stable-difussion 文本图片生成 [30]
  • ProsPainter:文本加绘图生成图片 [31]
  • Artbreeder: 文本绘图 [32]
  • TextToImage[*] [33]
  • Picsart[*] [34]
  • ChatGPT[*][35]
  • 豆包(字节版ChatGPT) [36]
  • 天工(昆仑万维版ChatGPT)[37]
  • OpenAI Blog, DALL·E: Creating Images from Text, 2021.1 [*](https://openai.com/blog/dall-e/)

开发者资源

高级读者

  • AlphaGo[38]
  • AlhpaZero[39]
  • FaceBeaty[40]
  • Style transfer [41]
  • A reivew of speech synthesis [42]
  • Cogview [43]
  • DALL-E [44][45]
  • Collaborative robots from Google [46]
  • Deep learning for Muller mimickery [47]
  • AlphaFold [48]
  • Robot make experiment[49]
  • Zeng Z, Yao Y, Liu Z, et al. A deep-learning system bridging molecule structure and biomedical text with comprehension comparable to human professionals. Nature communications, 2022, 13(1): 1-11.[50]
  • Levine S, Pastor P, Krizhevsky A, et al. Learning hand-eye coordination for robotic grasping with deep learning and large-scale data collection. The International journal of robotics research, 2018, 37(4-5): 421-436.[51]
  • Qiao C, Li D, Liu Y, et al. Rationalized deep learning super-resolution microscopy for sustained live imaging of rapid subcellular processes. Nature biotechnology, 2022: 1-11.[52]