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Machine Intelligence (MI) is a new class of computing workload of sufficient importance to rethink computing from top to bottom. This is the beginning of the real age of massively parallel computing, combined with a new dominant data class -- high-dimensional probability distributions. This talk will discuss how physics constrains silicon processor evolution, as performance demand is exploding, and what is needed in terms of abstraction to make programming tractable. Simon is co-founder, CTO and EVP Engineering of Graphcore, a British start-up developing processors ground-up for machine intelligence. Graphcore is Simon's third processor start-up, preceded by Element14 (acquired by Broadcom in 2000) and Icera (acquired by Nvidia in 2011). Before that, Simon was responsible for processor design at STmicro, via the acquisition of Inmos. Many of Graphcore's engineers share this heritage of developing new types of processor and software tools for newly emergent workloads.