DeepMind’s AlignNet Learns Stable Object Representations Across Time

New research from UK based AI company and research lab DeepMind is enabling AI agents to perceive dynamic real-world environments more like humans do. The work deals with aligning observed entities across time-steps in both fully observable and partially observable environments and is introduced in the paper AlignNet: Unsupervised Entity Alignment.