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and an ability to get much greater context — more input symbols — at the same computing budget:The Transformer is limited to a context length of 2.where representations of input are compressed.

The original Perceiver in fact brought improved efficiency over Transformers by performing attention on a latent representation of input.the wall clock time to compute Perceiver AR.contextual structure and the computational properties of Transformers.

DeepMind/Google BrainThe latent part. Its possible learned sparsity in this way could itself be a powerful tool in the toolkit of deep learning models in years to come.

the process of limiting which input elements are given significance.

more input tokens are needed to observe it.while the workforce reskills and reconfigures -- as has been the case historically.

)  Jones argues that todays conditions are different: what were seeing is jobs being carved up into tasks.We should all be worriedIndustry 4

located off the coast of Portugal with only three turbines – has exceeded expectations over the last four years of operation.The semi-submerged platforms are anchored to the sea floor – 328 ft (100 m) below the surface – with chains to keep them from floating away and are connected to an electrical substation in Viana do Costelo