http://wiki.jackslab.org/index.php?action=history&feed=atom&title=AI
AI - 版本历史
2026-05-21T10:13:50Z
本wiki的该页面的版本历史
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http://wiki.jackslab.org/index.php?title=AI&diff=9689&oldid=prev
Comcat：/* 前沿 */
2018-05-17T10:41:33Z
<p><span dir="auto"><span class="autocomment">前沿</span></span></p>
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<td colspan='2' style="background-color: white; color:black;">←上一版本</td>
<td colspan='2' style="background-color: white; color:black;">2018年5月17日 (四) 10:41的版本</td>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>* [https://zhuanlan.zhihu.com/p/20924929  从OpenAI看深度学习研究前沿]</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>* [https://zhuanlan.zhihu.com/p/20924929  从OpenAI看深度学习研究前沿]</div></td></tr>
<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>* [http://blog.csdn.net/cv_family_z/article/details/51917143 CNN网络二值化--XNOR-Net]  </div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>* [http://blog.csdn.net/cv_family_z/article/details/51917143 CNN网络二值化--XNOR-Net]  </div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;">* [https://zhuanlan.zhihu.com/p/23255679 寒武纪——一个神经网络指令集架构]</ins></div></td></tr>
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Comcat
http://wiki.jackslab.org/index.php?title=AI&diff=9688&oldid=prev
Comcat：/* 前沿 */
2018-05-17T10:40:45Z
<p><span dir="auto"><span class="autocomment">前沿</span></span></p>
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<td colspan='2' style="background-color: white; color:black;">←上一版本</td>
<td colspan='2' style="background-color: white; color:black;">2018年5月17日 (四) 10:40的版本</td>
</tr><tr><td colspan="2" class="diff-lineno">第2行：</td>
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<tr><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>* [[基于忆阻器的DLA]]</div></td><td class='diff-marker'> </td><td style="background: #eee; color:black; font-size: smaller;"><div>* [[基于忆阻器的DLA]]</div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;">* [https://zhuanlan.zhihu.com/p/20924929  从OpenAI看深度学习研究前沿]</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;">* [http://blog.csdn.net/cv_family_z/article/details/51917143 CNN网络二值化--XNOR-Net] </ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;"></ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;"></ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;">获取人工智能AI前沿信息 https://zhuanlan.zhihu.com/p/21263408?refer=intelligentunit</ins></div></td></tr>
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<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;">== Hardware ==</ins></div></td></tr>
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<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;">=== GPU Architecture ===</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;"></ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;">* [http://haifux.org/lectures/267/Introduction-to-GPUs.pdf Introduction to GPU architecture]</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;">* [[Nvidia GPU Architecture]]</ins></div></td></tr>
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<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;"><br><br></ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;"></ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;">=== TPU Architecture ===</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;"></ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;">Tensor Processing Unit(or TPUs) are application-specific integrated circuits (ASICs) developed specifically for machine learning.</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;"></ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;">* [https://drive.google.com/file/d/0Bx4hafXDDq2EMzRNcy1vSUxtcEk/view Paper]</ins></div></td></tr>
<tr><td colspan="2"> </td><td class='diff-marker'>+</td><td style="background: #cfc; color:black; font-size: smaller;"><div><ins style="color: red; font-weight: bold; text-decoration: none;">* [https://cloudplatform.googleblog.com/2017/04/quantifying-the-performance-of-the-TPU-our-first-machine-learning-chip.html Blog] Quantifying the performance of the TPU, our first machine learning chip 2017-04-05</ins></div></td></tr>
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Comcat
http://wiki.jackslab.org/index.php?title=AI&diff=9672&oldid=prev
Comcat：以“== 前沿 == * 基于忆阻器的DLA <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><...”为内容创建页面
2018-05-17T10:19:57Z
<p>以“== 前沿 == * <a href="/%E5%9F%BA%E4%BA%8E%E5%BF%86%E9%98%BB%E5%99%A8%E7%9A%84DLA" title="基于忆阻器的DLA">基于忆阻器的DLA</a> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><br> <br><...”为内容创建页面</p>
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