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The year started with the launch of Grai Matter and its edge AI chip, as well as an analysis of the role of IP.

New chip architectures also emerged, optimised for edge AI. The open source RISC-V instruction set architecture saw various instruction extensions to boost performance for edge AI and so lower the power consumption. While new techniques such as spiking neural networks promised to reduce power consumption further, French AI scientist Yann LeCun at Facebook highlighted the vital role at the RISC-V will play.

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