Why

Given the remarkable success of artificial intelligence techniques in a wide range of applications, such as image recognition and natural language processing, and the need to process ever-increasing amounts of data while keeping energy consumption low, the search for accelerators has intensified hardware that can improve performance by up to two orders of magnitude.

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Our objectives

The aim of this project is to develop hardware components for accelerating artificial intelligence applications on FPGAs.

  • Collect Datasets

  • Study Relevant Literature

  • Propose Innovative Solutions

  • Evaluate Performance, Power, Cost

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One more thing

The basic idea is to build a library of interoperable elements that allow adaptation to specific applications.

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