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Found 5 papers, 1 papers with code
ManyModalQA: Modality Disambiguation and QA over Diverse Inputs
By analyzing this model, we investigate which words in the question are indicative of the modality.
Radiation pattern prediction for Metasurfaces: A Neural Network based approach
Concretely, we show that this method is able to learn and predict the parameters governing the reflected wave radiation pattern with an accuracy of a full wave simulation (98. 8%-99. 8%) and the time and computational complexity of an analytical model.
Computing Graph Neural Networks: A Survey from Algorithms to Accelerators
On the other hand, an in-depth analysis of current software and hardware acceleration schemes is provided, from which a hardware-software, graph-aware, and communication-centric vision for GNN accelerators is distilled.
On the Enabling of Multi-receiver Communications with Reconfigurable Intelligent Surfaces
We analyze the performance for indoor and outdoor scenarios, given the broadcast mode of operation.
Hardware Software Co-design of Statistical and Deep Learning Frameworks for Wideband Sensing on Zynq System on Chip
The first contribution of this work is efficiently mapping the OMP algorithm on the Zynq system-on-chip (ZSoC) consisting of an ARM processor and FPGA.
