Research team led by Chuliang Weng introduces D2-GCN, a groundbreaking disentangled graph convolutional network that dynamically adjusts feature channels for enhanced node representation ...

Neural-network training is computationally demanding, to extremes, and when training a model from scratch, a developer can expect training times of up to five days on a high-end multi-GPU machine.

Researchers at Soongsil University (Korea) published “A Survey on Efficient Convolutional Neural Networks and Hardware Acceleration.” Abstract: “Over the past decade, deep-learning-based ...

Identification for metastasis lymph node in magnetic resonance imaging with faster region-based convolutional neural network.. JCO 36 , e15500-e15500 (2018). DOI: 10.1200/JCO.2018.36.15_suppl.e15500 ...