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多模态学习
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统计学
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抽样
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推断
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概率论
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计数
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</a>
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概率概念
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分布
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</span>
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</a>
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贝叶斯
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</span>
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</a>
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信息论
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</span>
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机器学习
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</span>
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<span class="md-nav__icon md-icon"></span>
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机器学习
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经典机器学习
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梯度机器学习
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</span>
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</a>
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深度学习
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</span>
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</a>
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强化学习
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</span>
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</a>
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分布式深度学习
|
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</span>
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|
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|
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|
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</a>
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计算语言学
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<span class="md-nav__icon md-icon"></span>
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计算语言学
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语言学基础
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</a>
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嵌入与序列模型
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</span>
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</a>
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Transformer 与语言模型
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</span>
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|
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</a>
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<span class="md-ellipsis">
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高级文本生成
|
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|
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|
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|
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</span>
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|
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|
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|
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</a>
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计算机视觉
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计算机视觉
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图像基础
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</span>
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</a>
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目标检测与分割
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多模态学习
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多模态学习
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多模态表征
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</span>
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</a>
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统一多模态架构
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</span>
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自主系统
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感知
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视觉-语言-动作模型
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自动驾驶
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</a>
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太空与极端机器人
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</span>
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图神经网络
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GPU 架构与 CUDA
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Triton、TPU 与 Pallas
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量化
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边缘推理
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扩缩与部署
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ML 系统设计
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应用 AI
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AI 金融
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</a>
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药物发现
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|
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|
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前沿 AI
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量子机器学习
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</a>
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神经形态计算
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太空数据中心
|
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|
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|
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<h1 id="ai-for-biology">AI for Biology<a class="headerlink" href="#ai-for-biology" title="Permanent link">¶</a></h1>
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<li>蛋白质结构预测：AlphaFold 1/2/3、ESMFold、共进化分析、MSA transformers</li>
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