“第八章 让人惊讶的智能”版本间的差异
来自cslt Wiki
| 第40行： | 第40行： | ||
*Picsart[*] [https://picsart.com/ai-image-generator] | *Picsart[*] [https://picsart.com/ai-image-generator] | ||
*ChatGPT[*][https://chat.chatgptdemo.net/] | *ChatGPT[*][https://chat.chatgptdemo.net/] | ||
| + | *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== | ||
| 第54行： | 第56行： | ||
*Collaborative robots from Google [https://journals.sagepub.com/doi/pdf/10.1177/0278364917710318] | *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] | *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] | *AlphaFold [https://www.nature.com/articles/s41586-021-03819-2] | ||
*Robot make experiment[https://www.nature.com/articles/s41586-020-2442-2] | *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9日 (三) 06:47的版本
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]
- 无人机群体智能[13][14]
- 中国天眼[15]
- AI超分辨率显微镜[16]
- AI100问：人工智能破解蛋白质结构之迷[17]
视频展示
- AI机器人做实验[18][19]
- 波士顿动力机器人[20][21]
- UC Berkley的科学家用一小时教会机器人站立、抓取等动作[22][23][24]
- CCTV-2 生活早间秀 除了下围棋 机器人还会作诗？[25]
- DALL-E2: [26]
演示链接
- Cogview 文本生成图片 [27]
- DALL-E 文本生成图片[28]
- Stable-difussion 文本图片生成 [29]
- ProsPainter：文本加绘图生成图片 [30]
- Artbreeder: 文本绘图 [31]
- TextToImage[*] [32]
- Picsart[*] [33]
- ChatGPT[*][34]
- 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[35]
- AlhpaZero[36]
- FaceBeaty[37]
- Style transfer [38]
- A reivew of speech synthesis [39]
- Cogview [40]
- DALL-E [41][42]
- Collaborative robots from Google [43]
- Deep learning for Muller mimickery [44]
- AlphaFold [45]
- Robot make experiment[46]
- 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.[47]
- 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.[48]
- 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.[49]
