深心 Introduces MuZero That Achieves Superhuman 性能 In Tasks Without Learning Their Underlying Dynamics
Previously, 深心 has used reinforcement learning to teach programs to master various games such as the Chinese board game 'Go,' the Japanese...
深心 Has Reconciled Existing Neural Network Limitations To Outperform Neuro-Symbolic Models
神经网络在各种感知任务中都取得了成功。但是，据说它们不能有效地解决需要更高层次的问题。
How 深心 Is Using JAX To Accelerate AI Research
JAX是Google研究人员为高性能数值计算开发的Python库。其API基于NumPy。 NumPy是...
AlphaFold: 深心’s AI System With Major Breakthrough To Predict Protein-Folding
Google’s 深心 introduces an AI system, AlphaFold, 可以准确预测蛋白质如何折叠成形状。
蛋白质由...组成
深心 Open-Sources Lab2D, A System For The Creation Of 2D Environments For Machine Learning
DeepMind最近开源了一个名为 Lab2D。 Lab2D旨在支持为人工智能和机器...创建2D环境。
深心 Research Introduces Algorithms for Causal Reasoning in Probability Trees
对于正在寻找简洁语义模型来表示因果归纳必不可少的特定于上下文的因果依赖关系的前沿AI研究人员， this DeepMind's algorithm encourages you to...
深心 Open-Sources The FermiNet: A Deep Learning Model For Computing The Energy Of Atoms
Fermionic神经网络（FermiNet）是计算原子能的首批深度学习演示之一。费米神经网络是...
深心 introduces a new machine learning model to improve 谷歌 Maps
如果您是通过在Google地图上设置路线来开始旅程的人之一，那么Google会为您带来更好的...
