Introduction

ACM/IEEE Contest for Machine Learning on Hardware at ICCAD is a challenging research and development competition, focusing on real-world problems that require the implementation of machine learning algorithms on both conventional hardware platforms as well as emerging hardware platforms. It is open to teams world-wide. The top three teams of each track will be announced during 2023 International Conference on Computer-Aided Design (ICCAD). Winners will be invited to give presentations on their methods at the conference.

Given the great interest received last year, this year's contest is separated into two tracks (tinyML contest on microcontrollers and quantum computers challenge) to accommodate researchers with diverse backgrounds.

- Track 1 is on Conventional Platforms, please refer to the 2023 TinyML Design Contest at ICCAD.

- Track 2 is on Emerging Platforms, please refer to the 2023 Quantum Computing for Drug Discovery Challenge at ICCAD.

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