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11.4 IBM NorthPole: An Architecture for Neural Network Inference with a 12nm Chip., , , , , , , , , and 22 other author(s). ISSCC, page 214-215. IEEE, (2024)Discovering Low-Precision Networks Close to Full-Precision Networks for Efficient Inference., , , , , , and . EMC2@NeurIPS, page 6-9. IEEE, (2019)Learned Step Size quantization., , , , and . ICLR, OpenReview.net, (2020)Efficient and Effective Methods for Mixed Precision Neural Network Quantization for Faster, Energy-efficient Inference., , , , and . CoRR, (2023)A Low Power, Fully Event-Based Gesture Recognition System., , , , , , , , , and 6 other author(s). CVPR, page 7388-7397. IEEE Computer Society, (2017)Texture Discrimination by an Autonomous Mobile Brain-based Device with Whiskers., , , and . ICRA, page 4925-4930. IEEE, (2004)Embodied models of delayed neural responses: Spatiotemporal categorization and predictive motor control in brain based devices., , , and . Neural Networks, 21 (4): 553-561 (2008)Testing for Machine Consciousness Using Insight Learning., and . AAAI Fall Symposium: AI and Consciousness, volume FS-07-01 of AAAI Technical Report, page 103-108. AAAI Press, (2007)IBM NorthPole Neural Inference Machine., , , , , , , , , and 22 other author(s). HCS, page 1-58. IEEE, (2023)