Murray Grimwood reviews the Helen Clark Foundation book Facing up to our Future, and the Reality of Everything symposium ...
The autumn of 2026 is set to see significant changes in AI inference with new chips, new boxes and a key edge AI acquisition ...
Abstract: In mobile millimeter wave (mm-Wave) systems, most deep learning-based beamforming models only input channel state information (CSI). However, as user speed increases, CSI inaccuracy ...
Abstract: The demand for efficient edge machine learning (ML) in Internet of Things (IoT) applications has driven interest in Microcontroller Unit (MCU)-based TinyML solutions, especially with the ...
Abstract: Currently, many theoretical as well as practically relevant questions towards the transferability and robustness of Convolutional Neural Networks (CNNs) remain unsolved. While ongoing ...
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